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  1. Jul 2020
    1. Argumentation is an integral part of how we negotiate our everyday lives in a complex world. In many contexts it matters that arguments are rational, that means, it is not enough that they are simply (subjectively) convincing. Rational argument involves ‘norms’ or ‘standards’ against which actual arguments can be compared. These standards provide a yardstick for argument quality, and allow us to make statements about when particular arguments are weak or strong. These standards articulate considerations that we should all find ourselves happy to adopt, once we think about them for a bit. Specifically, we should be happy to adopt them if we want to maximise the chance that what we come to believe is actually true. While we might not always care about that when we are trying to convince others, we typically don’t want the wool pulled over our eyes when arguments are addressed at us. This site tries to illustrate these standards for rational argument in action: specifically, we provide critical analyses of written articles, opinion pieces and debates that are in the public domain. For these pieces, we provide a kind of ‘argument checking’ that complements fact-checking provided by websites such as Politifact and FullFact. The academic research that underlies our analyses is conducted in across a number of different disciplines: philosophy, communication studies, psychology and computer science. Some of it is found in textbooks on critical thinking or guides to better argument. But some of it is also quite technical and less accessible to the general public. For this reason, our website will be adding further background materials on key topics. This should both help site readers to understand the critical analyses and to learn more on rational argument in general. The site has grown out of our own research on rational argument. We hope readers will find it useful, and we hope it will contribute to making public debate a little bit better. This site is part of the Rational Argument Project.
    1. In an unscheduled release, Deutsche Post said preliminary figures showed that its quarterly operating profit came in around 890 million euros, well above average analyst forecasts for 811 million, according to Refinitiv data.It said volumes started to recover in the second quarter and had seen a rise in shipments driven by e-commerce, both internationally and in the German parcel business.
    1. Importance  The ability to identify patients with coronavirus disease 2019 (COVID-19) in the prehospital emergency setting could inform strategies for infection control and use of personal protective equipment. However, little is known about the presentation of patients with COVID-19 requiring emergency care, particularly those who used 911 emergency medical services (EMS).Objective  To describe patient characteristics and prehospital presentation of patients with COVID-19 cared for by EMS.Design, Setting, and Participants  This retrospective cohort study included 124 patients who required 911 EMS care for COVID-19 in King County, Washington, a large metropolitan region covering 2300 square miles with 2.2 million residents in urban, suburban, and rural areas, between February 1, 2020, and March 18, 2020.Exposures  COVID-19 was diagnosed by reverse transcription–polymerase chain reaction detection of severe acute respiratory syndrome coronavirus 2 from nasopharyngeal swabs. Test results were available a median (interquartile range) of 5 (3-9) days after the EMS encounter.Main Outcomes and Measures  Prevalence of clinical characteristics, symptoms, examination signs, and EMS impression and care.Results  Of the 775 confirmed COVID-19 cases in King County, EMS responded to 124 (16.0%), with a total of 147 unique 911 encounters. The mean (SD) age was 75.7 (13.2) years, 66 patients (53.2%) were women, 47 patients (37.9%) had 3 or more chronic health conditions, and 57 patients (46.0%) resided in a long-term care facility. Based on EMS evaluation, 43 of 147 encounters (29.3%) had no symptoms of fever, cough, or shortness of breath. Based on individual examination findings, fever, tachypnea, or hypoxia were only present in a limited portion of cases, as follows: 43 of 84 encounters (51.2%), 42 of 131 (32.1%), and 60 of 112 (53.6%), respectively. Advanced care was typically not required, although in 24 encounters (16.3%), patients received care associated with aerosol-generating procedures. As of June 1, 2020, mortality among the study cohort was 52.4% (65 patients).Conclusions and Relevance  The findings of this cohort study suggest that screening based on conventional COVID-19 symptoms or corresponding examination findings of febrile respiratory illness may not possess the necessary sensitivity for early diagnostic suspicion, at least in the prehospital emergency setting. The findings have potential implications for early identification of COVID-19 and effective strategies to mitigate infectious risk during emergency care.
    1. Second tutorial of the Net-COVID online series: Understanding and Exploring Network Epidemiology in the Time of Coronavirus. Lecture by YY Ahn from the Indiana University. See go.umd.edu/net-covid for more information about the online series.
    1. Fourth lecture (seminar) of the Net-COVID online series: Understanding and Exploring Network Epidemiology in the Time of Coronavirus. Seminar by Ginestra Bianconi of Queen Mary University of London. See go.umd.edu/net-covid for more information about the online series.
    1. ONLINE EVENT – While there has been significant attention given to foreign influence operations by state-actors like Iran, far less has been given to how global events shape—and skew—the reality depicted by the Iranian regime to the Iranian people.
    1. We use a global metapopulation transmission model to study the establishment of sustained and undetected community transmission of the COVID-19 epidemic in the United States. The model is calibrated on international case importations from mainland China and takes into account travel restrictions to and from international destinations. We estimate widespread community transmission of SARS-CoV-2 in February, 2020. Modeling results indicate international travel as the key driver of the introduction of SARS-CoV-2 in the West and East Coast metropolitan areas that could have been seeded as early as late-December, 2019. For most of the continental states the largest contribution of imported infections arrived through domestic travel flows.
    1. Nel corso del primo DataBeers Torino interamente online, Michele Tizzoni -co-founder dell'iniziativa e Research Leader presso Fondazione ISI - presenta i risultati dello studio in cui è stato misurato l'impatto sulla la mobilità degli Italiani in seguito all'epidemia di COVID-19 e alle restrizioni imposte dal governo.
    1. In touching every aspect of our lives, the COVID-19 pandemic has profoundly disrupted our sense of well-being and produced uncertainty and anxiety. How do we find resilience while remaining productive and caring family members, friends, professionals and citizens in these unprecedented times? In a series of ten short videos (one video will be added per week until mid-June, 2020), UC Berkeley psychologist Dacher Keltner, who has studied stress, relationships and well-being for 25 years and is co-founder of the campus’s Greater Good Science Center, will share ideas and practices for cultivating resilience and connection as we face the challenges of the coming months. Drawing on insights from the center’s Science of Happiness online course, podcast series and magazine, Keltner shares tips on how to manage stress and find meaningful connections while social distancing, completing each video with simple, science-tested practices useful for this moment in time.
    1. Clinicians and GPs will soon be able to better identify patients who are at a higher risk of serious illness from SARS-CoV-2 infection based on a new data-driven risk prediction model, now under development by an Oxford University-led team.
    1. Swedes are losing trust in authorities’ handling of the coronavirus, as the man behind the country’s light-touch approach called lockdowns a form of madness and political parties demanded the Swedish strategy be reviewed before the next election in 2022.
    1. Nearly 1 in 3 black Americans know someone personally who has died of covid-19, far exceeding their white counterparts, according to a Washington Post-Ipsos poll that underscores the coronavirus pandemic’s profoundly disparate impact.
    1. Social distancing and isolation have been widely introduced to counter the COVID-19 pandemic. Adverse social, psychological and economic consequences of a complete or near-complete lockdown demand the development of more moderate contact-reduction policies. Adopting a social network approach, we evaluate the effectiveness of three distancing strategies designed to keep the curve flat and aid compliance in a post-lockdown world. These are: limiting interaction to a few repeated contacts akin to forming social bubbles; seeking similarity across contacts; and strengthening communities via triadic strategies. We simulate stochastic infection curves incorporating core elements from infection models, ideal-type social network models and statistical relational event models. We demonstrate that a strategic social network-based reduction of contact strongly enhances the effectiveness of social distancing measures while keeping risks lower. We provide scientific evidence for effective social distancing that can be applied in public health messaging and that can mitigate negative consequences of social isolation.
    1. Leicester has been placed under a localised lockdown following a spike in COVID-19 cases. The English city reported 866 cases in the two-week period up to June 23. While the origins of the outbreak are currently unknown, I was not surprised to see it happen here. Leicester is the 32nd most deprived local authority in England (out of a total of 317). An estimated 41% of children there live in poverty. The local economy is also characterised by high levels of in-work poverty and low wages. The 2008 financial crisis, ten years of austerity, and the roll out of universal credit had already left public and voluntary services in the city stretched to the limit. The city could ill afford another negative shock – and then along came the coronavirus pandemic.
    1. The coronavirus pandemic has torn through the global economy, suppressing consumer demand and industrial production. As countries look to an eventual recovery, but in a very different environment characterized by continuing distancing measures and loss of public confidence, businesses in many sectors, such as hospitality and retail, are asking how they can adapt to survive these new economic conditions. Yet perhaps surprisingly, those feeling threatened include independent primary care practices in the United States. Despite the USA being one of the most expensive healthcare systems in the world, many primary care practices are now facing financial collapse. Some estimates suggest that primary care practices will lose up to $15 billion during 2020 as a consequence of the coronavirus pandemic.
    1. While baseball, basketball, and other sports struggle to adapt, an international team of skater-experts has figured out a safer way to play.
    1. The objective of this Personal View is to compare transmissibility, hospitalisation, and mortality rates for severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) with those of other epidemic coronaviruses, such as severe acute respiratory syndrome coronavirus (SARS-CoV) and Middle East respiratory syndrome coronavirus (MERS-CoV), and pandemic influenza viruses. The basic reproductive rate (R0) for SARS-CoV-2 is estimated to be 2·5 (range 1·8–3·6) compared with 2·0–3·0 for SARS-CoV and the 1918 influenza pandemic, 0·9 for MERS-CoV, and 1·5 for the 2009 influenza pandemic. SARS-CoV-2 causes mild or asymptomatic disease in most cases; however, severe to critical illness occurs in a small proportion of infected individuals, with the highest rate seen in people older than 70 years. The measured case fatality rate varies between countries, probably because of differences in testing strategies. Population-based mortality estimates vary widely across Europe, ranging from zero to high. Numbers from the first affected region in Italy, Lombardy, show an all age mortality rate of 154 per 100 000 population. Differences are most likely due to varying demographic structures, among other factors. However, this new virus has a focal dissemination; therefore, some areas have a higher disease burden and are affected more than others for reasons that are still not understood. Nevertheless, early introduction of strict physical distancing and hygiene measures have proven effective in sharply reducing R0 and associated mortality and could in part explain the geographical differences.
    1. A clinically significant risk of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) transmission by fomites (inanimate surfaces or objects) has been assumed on the basis of studies that have little resemblance to real-life scenarios.
    1. COVID-19 has rapidly affected mortality worldwide1. There is unprecedented urgency to understand who is most at risk of severe outcomes, requiring new approaches for timely analysis of large datasets. Working on behalf of NHS England, here we created OpenSAFELY: a secure health analytics platform covering 40% of all patients in England, holding patient data within the existing data centre of a major primary care electronic health records vendor. Primary care records of 17,278,392 adults were pseudonymously linked to 10,926 COVID-19-related deaths. COVID-19-related death was associated with: being male (hazard ratio (HR) 1.59, 95% confidence interval (CI) 1.53–1.65); older age and deprivation (both with a strong gradient); diabetes; severe asthma; and various other medical conditions. Compared with people with white ethnicity, Black and South Asian people were at higher risk even after adjustment for other factors (HR 1.48, 1.30–1.69 and 1.44, 1.32–1.58, respectively). We have quantified a range of clinical risk factors for COVID-19-related death in the largest cohort study conducted by any country to date. OpenSAFELY is rapidly adding further patients’ records; we will update and extend results regularly.
    1. The number of Republicans who say they’re leaving the house to socialize has a hit a new high since the coronavirus pandemic began, according to new survey data, even as more Democrats are opting to stay home.
    1. Psychiatrists are observing similar emotions in others who have lost loved ones to covid-19 (see “Stories of loss,” below). They warn that the unique challenges of coming to terms with these deaths could lead to a rise in a condition known as prolonged grief disorder.
    1. The severe acute respiratory syndrome coronavirus 2 pandemic presents significant challenges for higher education and clinical training, normally based on face-to-face interaction, and an opportunity to improve international cooperation.We propose three strategies to ensure that, when we emerge from this crisis, global cooperation in higher education and research is the norm: move to online, digital learning; enhanced networks with institutions from the Global South; and a reformed funding and reward structure.Tackling global issues collaboratively, starting with COVID-19, we will be so much better placed to solve the many issues, known and unknown, that our planet will undoubtedly face in decades to come, including the next pandemic.
    1. United Airlines is warning 36,000 employees — nearly half its U.S. staff — they could be furloughed in October, the clearest signal yet of how deeply the virus pandemic is hurting the airline industry.
    1. In Houston, one of the nation's fastest-growing coronavirus hot spots, more residents are dying before they can make it to a hospital. Medical examiner data shows that an increasing number of these deaths are the result of COVID-19.
    1. Rebekah Jones says she was fired after she refused to manipulate coronavirus data at the Florida Health Department. Now she has launched her own COVID-19 data portal for the state.
    2. New York's subway is trying to convince commuters that it is safe to ride. Recently, it has added vending machines with personal protective equipment at 10 of the busiest stations.
    3. In a previous newsletter, we gave a bearish case for the future of remote work. We spoke with the Stanford psychologist Jeremy Bailenson, whose research shows how existing technologies like Zoom are a poor substitute for face-to-face interactions. A computer screen can't match the physical office when it comes to opportunities for social bonding, managerial oversight, mentorship and support, and random collisions between colleagues that lead to new ideas. But there's also the bullish case for remote work. Brynjolfsson, who has spent years studying the intersection of technology and economics, points to its many advantages. Workers don't have to waste time or resources commuting. And they can live where they want. Companies can save money on commercial real estate, which is insanely expensive in places like Manhattan and Silicon Valley (side note: this also shifts the cost of real estate to workers, but that's another discussion). A virtual office offers a virtually unlimited labor pool for companies to recruit from. In econ jargon, there are better "matching" opportunities. "You get to tap into the best people wherever they are," Brynjolfsson says. Moreover, he argues, this shift is pushing companies to focus on performance and output as opposed to just "clocking hours."
    1. SARS-CoV-2 was detected in Barcelona sewage long before the declaration of the first COVID-19 case, indicating that the infection was present in the population before the first imported case was reported. Sentinel surveillance of SARS-CoV-2 in wastewater would enable adoption of immediate measures in the event of future COVID-19 waves.
    1. COVID-19 pandemic, as a global threat to humanity, is likely to instigate a variety of collective responses in the society. We examined, for the first time, whether COVID-19 threat perception is related to attitudes towards Syrian immigrants in Turkey, theorizing a dual pathway whereby threat caused by the COVID-19 pandemic would relate to both pro- and anti-immigrant feelings. While drawing upon behavioral immune system theory, we expected that pathogen threat would lead to more exclusionary attitudes; relying on the common ingroup identity model, we predicted that pathogen threat would promote inclusionary attitudes through creating a common ingroup in the face of a global threat. Results from two studies using online search volume data at the province-level (N = 81) and self-report measures at the individual level (N = 294) demonstrated that perceived COVID-19 threat was directly associated with more positive attitudes towards immigrants (Study 1 and 2). Study 2 further revealed indirect positive (through a sense of common identity) and negative (through perceptions of immigrant threat) links between COVID-19 threat perception and attitudes towards immigrants. These results highlight the importance of integrating evolutionary and social identity perspectives when assessing pathogen-related threats. We draw attention to managing the public perceptions of COVID-19 threat which may mitigate the social aftermath of the pandemic.
    1. Working from home has environmental and social benefits. Offices are still needed for innovation, collaboration, learning and networking though. Smaller, local offices could reduce commuting and promote more inclusive workplaces. This productivity opportunity would then provide economic benefits as well.
    1. This may be true, but showing a correlation between the number of excess deaths and the time of lockdown is not enough evidence to argue this point, as the FT did.
    1. Individual decision-making about social distancing, self-quarantine and self-isolation is crucial in managing the COVID-19 pandemic. In the rapidly evolving pandemic, little is known about how different government communication strategies may systematically affect people’s attitudes to staying home or going out, nor the extent to which people perceive and process the risk of different scenarios. In this study, we report results from a sample of 581 participants (residing in the United Kingdom), and we examine the degree to which participants’ attitudes regarding the permissibility of leaving one’s home are (1) sensitive to different levels of risk of viral transmission in specific scenarios, (2) sensitive to communication framings that are either imperative or that invite reasoning about scenarios, or (3) creating “loopholes” for themselves when scenarios are framed with reference to the participants themselves rather than in general terms. We find that participants’ attitudes to social distancing are sensitive to the level of risk of transmission, and that when scenarios are framed in imperative terms, rather than when their reasoning is encouraged, participants have more impermissive attitudes to going out in Minimal Risk scenarios, with a trend of decreased permissiveness more generally; for self-loopholes, more research is needed to determine if participants make exceptions for themselves. Thus, subject to the limitations of this study, during phases where it is important to promote self-isolation for all scenarios, including those perceived to be low risk, imperative communication may be best.
    1. The purpose of the study was to better understand the relationships among stress, work-related burnout, and remote working brought on by social distancing efforts and stay at home orders put in place during the COVID-19 pandemic. The authors developed a questionnaire incorporating valid and reliable self-report stress and burnout measures (Perceived Stress Scale & Copenhagen Burnout Inventory), demographic, and work-related questions. The questions were used primarily to determine workers’ levels of stress before and during the pandemic, to assess potential burnout, and to establish the extent of their previous experience with remote work/telecommuting. The questionnaire was open from March 23rd to May 19th 2020 and distributed through a survey link on social media and by Qualtrics research services. Results from the analyses suggest that perceived stress did increase during the COVID-19 restrictions, especially for people that had limited experience working from home and were female. Individuals who worked from home before COVID-19 had higher levels of work-related burnout but did not differ based on gender or part-time work status. The results suggest that working from home may create more stress and result in more burnout, which challenges the current moves by some employers to make working from home a permanent arrangement. The authors believe that having research based on valid and reliable instruments will help employers and schools make better decisions about how to support those who can remain at home to avoid the potential for secondary outbreaks.
    1. In the context of the COVID-19 pandemic, French public opinion has been divided about Pr. Didier Raoult and his hydroxychloroquine-based treatment against COVID-19. In this paper, our aim is to contribute to the understanding of this polarization of public opinion by investigating the relationship between (analytic vs. intuitive) cognitive style and trust in Didier Raoult and his treatment. Through three studies (total N after exclusion = 950), we found that a more intuitive cognitive style predicted higher trust in Didier Raoult and his treatment. Possible mediators included valorization of scientific method over personal experience, belief that truth is political, belief in conspiracy theories and belief in pseudo-medicines. Additionally, we found that higher trust in Didier Raoult and hydroxychloroquine was linked to higher pseudo-medical and conspiratorial beliefs regarding the COVID-19 pandemic, but not to self-reported behavior, such as lower compliance with official regulations.
    1. Many countries imposed stringent lockdowns in response to the COVID-19 pandemic. Sweden, however, adopted a ‘soft’ approach of self-imposed social precautions without state regulation. This evoked extensive criticism within and outside the country, especially in view of its high death rates in comparison to its Nordic neighbours. The Swedish government, however, has been steadfast with its strategy. As countries emerge from lockdowns and begin to reopen their societies, there are many lessons to learn from Sweden’s soft COVID-19 strategy.
    1. The latest coronavirus news updated every day including coronavirus cases, the latest news, features and interviews from New Scientist and essential information about the covid-19 pandemic
    1. Networks provide a mathematically rich framework to represent social contacts sufficient for the transmission of disease. Social networks are often highly clustered and fail to be locally tree-like. In this paper, we study the effects of clustering on the spread of sequential strains of a pathogen using the generating function formulation under a complete cross immunity coupling. We derive conditions for the epidemic threshold of the first strain and the threshold of coexistence of the second strain. We find that clustering has a dual affect on the first strain, reducing the epidemic threshold but also decreasing the final outbreak size at large transmissibilities. Clustering reduces the coexistence threshold of the second strain and its outbreak size. We apply our model to the study of multilayer clustered networks and observe the fracturing of the residual graph experimentally.
    1. How can the birth and evolution of ideas and communities in a network be studied over time? We use a multimodal pipeline, consisting of network mapping, topic modeling, bridging centrality, and divergence to analyze Twitter data surrounding the COVID-19 pandemic. We use network mapping to detect accounts creating content surrounding COVID-19, then Latent Dirichlet Allocation to extract topics, and bridging centrality to identify topical and non-topical bridges, before examining the distribution of each topic and bridge over time and applying Jensen-Shannon divergence of topic distributions to show communities that are converging in their topical narratives.
    1. Provisional counts of the number of deaths registered in England and Wales, including deaths involving the coronavirus (COVID-19) pandemic, by age, sex and region, in the latest weeks for which data are available.
    1. Pubs, restaurants and cafes in England welcomed customers back through their doors on 4 July, sparking warnings of a second wave of covid-19 infections. Yet there have been warnings of another wave since the country began easing restrictions, and one hasn’t materialised. Will this time be different? Scientists on an independent advisory panel on coronavirus called Independent SAGE have repeatedly warned that the relatively swift easing of lockdown restrictions in England risks cases rising again.
    1. Primeiro dia do webinário internacional "Pensando a Pandemia", com tópicos em filosofia da mente e psicologia. 14:00 - Bahar Tuncgenc: What motivates people to do social distancing? A comprehensive analysis on a global sample 15:00 - Short break 15:15 - Ernesto Perini: Quando duas crises se encontram - a pandemia de covid-19 e o negacionismo científico
    1. Decisions on fitness for employment that entails a risk of contracting Covid-19 require an assessment of the workers personal vulnerability should infection occur. Using recently published UK data, we have developed a risk model that provides estimates of personal vulnerability to Covid-19 according to sex, age, ethnicity, and various comorbidities. Vulnerability from each risk factor is quantified in terms of its equivalence to added years of age. Addition of the impact from each risk factor to an individuals true age generates their Covid-age, a summary measure representing the age of a healthy UK white male with equivalent vulnerability. We discuss important limitations of the model, including current scientific uncertainties and limitations on generalisability beyond the UK setting and its use beyond informing assessments of individual vulnerability in the workplace. As new evidence becomes available, some of these limitations can be addressed. The model does not remove the need for clinical judgement or for other important considerations when managing occupational risks from Covid-19.
    1. In communicating chronic risks, there is increasing use of a metaphor that can be termed ‘effective-age’: the age of a ‘healthy’ person who has the same risk profile as the individual in question. Popular measures include ‘real-age’, ‘heart-age’, ‘lung-age’ and so on.Here we formally define this concept, and illustrate its use in a variety of areas. We explore conditions under which the years lost or gained that are associated with exposure to risk factors depends neither on current chronological age, nor the period over which the risk is defined. These conditions generally hold for all-cause adult mortality, which enables a simple and vivid translation from hazard-ratios to years lost or gained off chronological age. Finally we consider the attractiveness and impact of this concept.Under reasonable assumptions, the risks associated with specific behaviours can be expressed in terms of years gained or lost off your effective age. The idea of effective age appears a useful and attractive metaphor to vividly communicate risks to individuals.
    1. A Registered Reports system is key to preventing questionable research practices. Under this system, manuscripts, including their detailed protocols (i.e., hypothesis, experimental design, sample size, and methods of statistical analysis), are reviewed prior to data collection. If a protocol manuscript is accepted, publication of the full manuscript including the results and discussion is guaranteed in principle regardless of whether the collected data support the registered hypothesis. However, this assurance of publication might be broken under the impact of the COVID-19 pandemic. The present paper reports the first author’s real-life experience related to the collapse of the assurance of publication in the Registered Reports system and discusses the disbenefits of this collapse. Furthermore, we propose the implementation of a journal section specific to protocol manuscripts as a solution to the crisis of the Registered Reports system.
    1. The spreading of the COVID-19 virus has a devastating impact on patients with psychiatric illnesses. Here, we highlight the potential consequences of the COVID-19 pandemic for psychiatric patients of old age, based on several patients that we have treated in the past months (2020). We not only elaborate on the challenging conditions of old age psychiatric patients but also provide potential solutions to optimize patient care for this vulnerable group.
    1. Novel coronavirus cases in Florida and Texas continue to soar, including nearly 3,800 and 2,700 deaths, respectively. Each state has reported nearly 205,650 to 206,450 infections to date, according to the latest figures from Johns Hopkins University.The combined number of COVID-19-related deaths recorded in both states over the past month is greater than the total hurricane-related deaths reported in the U.S. over the past 20 years.
    1. This is an update regarding the JASP summer workshop “Theory and Practice of Bayesian Hypothesis Testing” originally scheduled for August 24-25, 2020. Unfortunately, the ongoing outbreak of COVID19 and the associated international travel restrictions make it impossible to proceed with the workshop as planned.We therefore decided to offer an online version of the workshop on the same dates. The online workshop will mainly take place during business hours in our local time zone (CEST). However, we will attempt to accommodate the needs of international participants as well. A detailed plan of this online workshop will follow later.Due to the lower costs of organizing an online workshop, we decided to decrease the workshop fees by 100€ for all price categories. The updated prices can be found on our workshop website.
    1. ObjectivesTo validate the diagnostic accuracy of a Euroimmun SARS-CoV-2 IgG and IgA immunoassay for COVID-19.MethodsIn this unmatched (1:2) case-control validation study, we used sera of 181 laboratory-confirmed SARS-CoV-2 cases and 326 controls collected before SARS-CoV-2 emergence. Diagnostic accuracy of the immunoassay was assessed against a whole spike protein-based recombinant immunofluorescence assay (rIFA) by receiver operating characteristic (ROC) analyses. Discrepant cases between ELISA and rIFA were further tested by pseudo-neutralization assay.ResultsCOVID-19 patients were more likely to be male and older than controls, and 50.3% were hospitalized. ROC curve analyses indicated that IgG and IgA had high diagnostic accuracies with AUCs of 0.990 (95% Confidence Interval [95%CI]: 0.983-0.996) and 0.978 (95%CI: 0.967-0.989), respectively. IgG assays outperformed IgA assays (p=0.01). Taking an assessed 15% inter-assay imprecision into account, an optimized IgG ratio cut-off > 2.5 displayed a 100% specificity (95%CI: 99-100) and a 100% positive predictive value (95%CI: 96-100). A 0.8 cut-off displayed a 94% sensitivity (95%CI: 88-97) and a 97% negative predictive value (95%CI: 95-99). Substituting the upper threshold for the manufacturer’s, improved assay performance, leaving 8.9% of IgG ratios indeterminate between 0.8-2.5.ConclusionsThe Euroimmun assay displays a nearly optimal diagnostic accuracy using IgG against SARS-CoV-2 in patient samples, with no obvious gains from IgA serology. The optimized cut-offs are fit for rule-in and rule-out purposes, allowing determination of whether individuals in our study population have been exposed to SARS-CoV-2 or not. IgG serology should however not be considered as a surrogate of protection at this stage.
    1. With no clear direction from the federal government on how to handle the COVID-19 pandemic, it’s been hard to decide what’s safe and unsafe as states begin to open up. There's no right answer; you just need to know the risks and how much risk you're willing to take. That's why Professor Saskia Popescu, an infectious disease epidemiologist at the University of Arizona, Dr. James P. Phillips, MD, the Chief of Disaster Medicine at GWU Emergency Medicine, and I developed a COVID-19 Risk Index to help you do this, based on four key factors: 1) Enclosed space 2) Duration of interaction 3) Crowds 4) Forceful exhalation   
    1. The Nature Podcast brings you the best stories from the world of science each week. We cover everything from astronomy to zoology, highlighting the most exciting research from each issue of Nature journal. We meet the scientists behind the results and providing in-depth analysis from Nature's journalists and editors.
    1. The COVID-19 pandemic, caused by severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), is of a scale not seen since the 1918 influenza pandemic. Although the predominant clinical presentation is with respiratory disease, neurological manifestations are being recognised increasingly. On the basis of knowledge of other coronaviruses, especially those that caused the severe acute respiratory syndrome and Middle East respiratory syndrome epidemics, cases of CNS and peripheral nervous system disease caused by SARS-CoV-2 might be expected to be rare.Recent developmentsA growing number of case reports and series describe a wide array of neurological manifestations in 901 patients, but many have insufficient detail, reflecting the challenge of studying such patients. Encephalopathy has been reported for 93 patients in total, including 16 (7%) of 214 hospitalised patients with COVID-19 in Wuhan, China, and 40 (69%) of 58 patients in intensive care with COVID-19 in France. Encephalitis has been described in eight patients to date, and Guillain-Barré syndrome in 19 patients. SARS-CoV-2 has been detected in the CSF of some patients. Anosmia and ageusia are common, and can occur in the absence of other clinical features. Unexpectedly, acute cerebrovascular disease is also emerging as an important complication, with cohort studies reporting stroke in 2–6% of patients hospitalised with COVID-19. So far, 96 patients with stroke have been described, who frequently had vascular events in the context of a pro-inflammatory hypercoagulable state with elevated C-reactive protein, D-dimer, and ferritin.Where next?Careful clinical, diagnostic, and epidemiological studies are needed to help define the manifestations and burden of neurological disease caused by SARS-CoV-2. Precise case definitions must be used to distinguish non-specific complications of severe disease (eg, hypoxic encephalopathy and critical care neuropathy) from those caused directly or indirectly by the virus, including infectious, para-infectious, and post-infectious encephalitis, hypercoagulable states leading to stroke, and acute neuropathies such as Guillain-Barré syndrome. Recognition of neurological disease associated with SARS-CoV-2 in patients whose respiratory infection is mild or asymptomatic might prove challenging, especially if the primary COVID-19 illness occurred weeks earlier. The proportion of infections leading to neurological disease will probably remain small. However, these patients might be left with severe neurological sequelae. With so many people infected, the overall number of neurological patients, and their associated health burden and social and economic costs might be large. Health-care planners and policy makers must prepare for this eventuality, while the many ongoing studies investigating neurological associations increase our knowledge base.
    1. Our finding that among patients with a positive retest 52% had IgG anti-viral antibodies and 30% had IgM antibodies suggests partial immune system recognition of SARS-CoV-2. Because 35% of patients with a positive retest had one or more COVID-19-related symptoms, the usefulness of viral antibodies in COVID-19 clearance remains in question, and the potential for continued virus transmission after hospital discharge warrants additional investigation. To prevent a second wave of COVID-19 infections, we recommend a minimum period of 14-day clinical observation in a Fangcang-like medical setting after recovery from COVID-19.
    1. The COVID-19 pandemic is a unique period of stress and uncertainty that will have significant implications for adolescent mental health. Nevertheless, stress about COVID-19 may be more consequential for some adolescents’ mental health than for others. We examined whether heart rate variability (HRV) indicated differential susceptibility to mental health difficulties associated with COVID-19 stress. Approximately four years prior to the pandemic, we assessed resting HRV and HRV reactivity to a well-validated stress paradigm in 87 adolescents. During the pandemic, these adolescents (ages 13-19) reported on their health-related stress and concerns about COVID-19 and their recent emotional problems. The association between COVID-19 stress and emotional problems was significantly stronger for adolescents who previously exhibited higher resting HRV or higher HRV reactivity. For adolescents who exhibited lower resting HRV or lower HRV reactivity, COVID-19 stress was not associated with emotional problems. Thus, parasympathetic functioning may reflect differential susceptibility to the effects of COVID-19 stress on mental health during the pandemic.
    1. In a gigantic feat of scientific ambition, researchers have designed a staggering 1,200 clinical trials aimed at testing treatment and prevention strategies against Covid-19 since the start of January. But a new STAT analysis shows the effort has been marked by disorder and disorganization, with huge financial resources wasted.
    1. A World Health Organization–led global trial of treatments for COVID-19 was slow to enroll coronavirus-infected people, like this one in a Spanish intensive care unit, whereas a large trial in the United Kingdom quickly produced results for three treatments.
    1. The latest coronavirus news updated every day including coronavirus cases, the latest news, features and interviews from New Scientist and essential information about the covid-19 pandemic
    1. The Coronavirus 2019 (COVID-19) pandemic has created significant challenges for the global higher education community. Through a desktop analysis leveraging university and government sources where possible, we provide a timely map of the intra-period higher education responses to COVID-19 across 20 countries. We found that the responses by higher education providers have been diverse from having no response through to social isolation strategies on campus and rapid curriculum redevelopment for fully online offerings. We provide in our discussion a typology of the types of responses currently undertaken and assess the agility of higher education in preparing for the pandemic. We believe there are significant opportunities to learn from the pedagogical developments of other universities, in order to strengthen our collective response to COVID-19 now and into the future.
    1. The ability to measure argument quality is of central importance not just in our everyday lives, but to scientific endeavors ranging from psychology and philosophy, to computer science and artificial intelligence.Classical logic provides fundamental constraints on argument quality, but most everyday informal argument is already in line with these constraints. This leaves the majority of quality concerns unaddressed.A Bayesian, probabilistic framework significantly expands quality standards for argument evaluation. It not only provides a treatment of the traditional catalogue of logical fallacies, it offers normative guidance that is quantitative, computationally explicit, and can be used for education.Consideration of how both logic and probability work to provide measures of argument quality suggests that ‘consistency’ and ‘relevance’ are two sides of the same coin.The idea of resolving dispute through the exchange of arguments and reasons has been central to society for millennia. We exchange arguments as a way of getting at the truth in contexts as diverse as science, the court room, and our everyday lives. In democracies, political decisions should be negotiated through argument, not deception, or even worse, brute force. If argument is to lead to the truth or to good decisions, then some arguments must be better than others and ‘argument strength’ must have some meaningful connection with truth. Can argument strength be measured in a way that tracks an objective relationship with truth and not just mere persuasiveness? This article describes recent developments in providing such measures.
    1. This is part two of a series on the future of applied behavioural science. You can read part one here.Revisiting the Core ChallengeSolutions to challenges solved in isolation inevitably stumble as they enter the messy, complex reality that they need to exist within
    1. Preregistrations -- records made a priori about study designs and analysis plans and placed in open repositories -- are thought to strengthen the credibility and transparency of research. Different authors have put forth arguments in favor of introducing this practice in qualitative research and made suggestions for what to include in a qualitative preregistration form. The goal of this study was to attain consensus among qualitative researchers on which items to include in a qualitative study preregistration form. We defined consensus as 68% agreement and used an online Delphi study design consisting of two rounds with feedback reports in between. In total, 45 researchers participated (response rate: 15%). In round 1, panelists considered 14 proposed items relevant to include in the preregistration form, but 2 items had a 66% relevance score with mixed argument and were put forth again. We combined items where possible, leading to 11 revised items. In round 2, panelists attained consensus on including the two remaining items. Panelists also reached consensus on suggested terminology and elaborations, with the exception of two terms for which they provided clear arguments. The result is a consensus-based form for the preregistration of qualitative studies that consists of 13 items. The form will be made available as a registration option on Open Science Framework. We believe it is important to assure that the strength of qualitative research, which is its flexibility to adapt, adjust and respond, is not lost in preregistration. The preregistration should provide a systematic starting point.
    1. Today's society faces widening disagreement and conflicts among constituents with incompatible views. Escalated views and opinions are seen not only in radical ideology or extremism but also in many other scenes of our everyday life. Here we show that widening disagreement among groups may be linked to the advancement of information communication technology by analyzing a mathematical model of population dynamics in a continuous opinion space. We adopted the interaction kernel approach to model enhancement of people's information-gathering ability and introduced a generalized nonlocal gradient as individuals' perception kernel. We found that the characteristic distance between population peaks becomes greater as the wider range of opinions becomes available to individuals or the more attention is attracted to opinions distant from theirs. These findings may provide a possible explanation for why disagreement is growing in today's increasingly interconnected society, without attributing its cause only to specific individuals or events.
    1. A paper authored jointly by the van der Schaar Lab, the University of Cambridge’s Department of Medicine, and a group of Brazilian researchers has been published in Lancet Global Health (editor-in-chief: Zoë Mullan). The paper, which was first published on May 27, examines ethnicity as a COVID-19 risk factor in Brazil. One of its key findings is that patients who self-identify as belonging to the country’s pardo and preto ethnicities exhibit significantly higher in-hospital mortality risk than those who self-identify as branco (“white”). A Lancet Global Health comment calls the work “a pioneering study,” noting that it “confirms in Brazil findings observed in other countries hit hard by COVID-19: that mortality rates from the pandemic differ by geographical region and ethnicity, with disproportionate impact for Black populations and other ethnic minorities.”
    1. BackgroundSpain is one of the European countries most affected by the COVID-19 pandemic. Serological surveys are a valuable tool to assess the extent of the epidemic, given the existence of asymptomatic cases and little access to diagnostic tests. This nationwide population-based study aims to estimate the seroprevalence of SARS-CoV-2 infection in Spain at national and regional level.Methods35 883 households were selected from municipal rolls using two-stage random sampling stratified by province and municipality size, with all residents invited to participate. From April 27 to May 11, 2020, 61 075 participants (75·1% of all contacted individuals within selected households) answered a questionnaire on history of symptoms compatible with COVID-19 and risk factors, received a point-of-care antibody test, and, if agreed, donated a blood sample for additional testing with a chemiluminescent microparticle immunoassay. Prevalences of IgG antibodies were adjusted using sampling weights and post-stratification to allow for differences in non-response rates based on age group, sex, and census-tract income. Using results for both tests, we calculated a seroprevalence range maximising either specificity (positive for both tests) or sensitivity (positive for either test).FindingsSeroprevalence was 5·0% (95% CI 4·7–5·4) by the point-of-care test and 4·6% (4·3–5·0) by immunoassay, with a specificity–sensitivity range of 3·7% (3·3–4·0; both tests positive) to 6·2% (5·8–6·6; either test positive), with no differences by sex and lower seroprevalence in children younger than 10 years (<3·1% by the point-of-care test). There was substantial geographical variability, with higher prevalence around Madrid (>10%) and lower in coastal areas (<3%). Seroprevalence among 195 participants with positive PCR more than 14 days before the study visit ranged from 87·6% (81·1–92·1; both tests positive) to 91·8% (86·3–95·3; either test positive). In 7273 individuals with anosmia or at least three symptoms, seroprevalence ranged from 15·3% (13·8–16·8) to 19·3% (17·7–21·0). Around a third of seropositive participants were asymptomatic, ranging from 21·9% (19·1–24·9) to 35·8% (33·1–38·5). Only 19·5% (16·3–23·2) of symptomatic participants who were seropositive by both the point-of-care test and immunoassay reported a previous PCR test.InterpretationThe majority of the Spanish population is seronegative to SARS-CoV-2 infection, even in hotspot areas. Most PCR-confirmed cases have detectable antibodies, but a substantial proportion of people with symptoms compatible with COVID-19 did not have a PCR test and at least a third of infections determined by serology were asymptomatic. These results emphasise the need for maintaining public health measures to avoid a new epidemic wave.
    1. Novelty indicators are increasingly important for science policy. This paper challenges the indicators of novelty as an atypical combination of knowledge (Uzzi et al., 2013) and as the first appearance of a knowledge combination (Wang et al., 2017). We exploit a sample of 230,854 articles (1985 - 2005), published on 8 journals of the American Physical Society (APS) and 2.4 million citations to test the indicators using (i) a Configuration Null Model, (ii) an external validation set of articles related to Nobel Prize winning researches and APS Milestones, (iii) a set of established interdisciplinarity indicators, and (iv) the relationship with the articles’ impact. We find that novelty as the first appearance of a knowledge combination captures the key structural properties of the citation network and finds it difficult to tell novel and non-novel articles apart, while novelty as an atypical combination of knowledge overlaps with interdisciplinarity. We suggest that the policy evidence derived from these measures should be reassessed.
    1. Medical experts say bars are places with a high risk of easily spreading COVID-19.Among other factors, this is primarily due to the fact that they’re spots where large numbers of people gather indoors with little ventilation over long periods of time.When people are drinking in a bar, they can often become too relaxed, leading to safety rules and protocols falling by the wayside.Experts also point out that activities like going to church meet a lot of the same risk level criteria as going to a bar.
    1. The COVID-19 pandemic has caused uncertainty and disruptions in daily life. It has mandated social distancing and online education. Teens are spending a significant amount of time online and less time on extracurricular activities including team sports, choir/orchestra, and school socials. The cancellation of SAT, the switch to online AP exams, and the Credit/No Credit policy for 2nd-semester all contribute to the uncertainty in teens regarding their future. Our project aims to create a survey that seeks opinions from teens about how they are managing with online socialization, the effectiveness of the online school, and stress levels. Using convenience sampling, adolescents (n = 168) were invited to participate in an anonymous online survey. Participants were asked about the effectiveness of online socializing, online education, hobbies, and extracurriculars to determine stress levels. We looked at models with two dependent stress variables: “low energy, insomnia and headache” and “forgetfulness and disorganization”. We used descriptive, regression, and correlation analysis to assess what the predictors of anxiety and stress are. Results show that stress levels are highly correlated with online exposure, online schooling, credit/no credit, and home environment. The research focuses on the areas where we can better support teens during lockdown situations by building safer environments for online socialization, and online education.
    1. Background: Prevalence and mortality rates during COVID-19 pandemic have varied widely across nations. This phenomenon may be partly due to regional variations in health-related behaviours, some of which may be influenced by health anxiety. A functional polymorphism of the catechol O-methyltransferase (COMT) gene, designated rs4680 or Val158Met, has been associated with anxiety-related behaviours and the so-called “worrier” phenotype. Methods: In this exploratory study, an analysis of the correlation between the frequencies of the Met allele of the COMT gene across 28 countries, obtained from the public domain Allele Frequency Database (ALFRED), and the COVID-19 prevalence and mortality rates in these countries, obtained from the Johns Hopkins Medical University web-based dashboard, was carried out while controlling for population size and median age in each country. Results: Allele frequencies varied widely across populations. Met allele frequency was positively correlated with COVID-19 prevalence (ρ = 0.527, p = 0.004) and mortality rate (ρ = 0.542) across nations. However, this association was no longer significant after controlling for confounders. Conclusions: These preliminary results suggest that there may be a relationship between the COMT rs4680 functional polymorphism and the impact of COVID-19 across nations, which could plausibly be mediated by maladaptive anxiety-related behaviours.
    1. Background: Although social-emotional difficulties are believed play a key role in anorexia nervosa (AN), there is uncertainty regarding what these difficulties might look like. Therefore, the aim of the present study was to ask about critical events in the lives of people with experience of AN. Method: Thirty-four participants aged 16-48 with current or past AN completed an online survey describing critical positive and difficult events. Results: When discussing positive critical events, many participants talked about Moments of celebration, which involved increased external focus, but the majority talked about Unexpected positive outcomes, which revealed some negative biases. Difficult events were broadly divided into eating disorder (ED) related and Non-ED life events, the former of which involved discussion of how the illness caused conflict and distress, difficulties with ED-services, and the challenges surrounding having to face the illness. Interestingly, relational conflict which solidified some participants negative expectations of other was identified in both ED-related and Non-ED related difficult events. Discussion: The findings suggest that AN is characterised by negative emotionality and information processing biases. However, reduced self-focused attention and increased “big-picture” thinking, and shifting negative expectation may be helpful in AN and could be useful targets for further research.
    1. Existing research shows that high scholastic boredom is correlated with a range of undesirable behaviors and personality traits and that the main antecedents of boredom are being over- or under-challenged. No study to date, though, seems to have systematically compared students who are highly bored and low-achieving (thus, likely over-challenged) with students who are highly bored and high-achieving (thus, likely under-challenged). Hence, merely knowing that students are highly bored might be insufficient for drawing conclusions about students’ behavior and personality, without taking their achievement level into account. We, therefore, investigated if low- versus high-achieving students who experience strong mathematics boredom show different behaviors and personality traits. The sample consisted of 1,404 German secondary school students (fifth to 10th grade, mean age 12.83 years, 52% female). We used self-report instruments to assess boredom in mathematics, behavior (social and emotional problems, positive/negative affect, emotion regulation), and personality traits (neuroticism and conscientiousness). In comparing highly bored students (more than one SD above M, n = 258) who were low versus high achievers (as indicated by the math grade, n = 125 / n = 119), results showed that there were no mean level differences across those groups for the behavior and personality trait constructs, with only three exceptions: conduct problems and expressive suppression (higher for low achievers) and positive affect (higher for high achievers). In conclusion, our results suggest that high boredom can occur in both low and high achieving students and that bored low- and high-achievers show largely similar behaviors and personality profiles.
    1. The aim of many experiments is to estimate the effect of different interventions on subjects’ decision making. However, obtaining large samples and internal validity is challenging. This paper presents an alternative device at almost no cost that can easily provide a very large number of participants (700 in 5 hours). We asked 14 students to invite their WhatsApp contacts to participate in an online experiment. The students created a total of 80 diffusion groups with 25 contacts each. Using the diffusion groups as clusters, we ran a cluster randomization procedure in order to assign subjects to a framing experiment (treatment + control). We obtained the same level of attrition, duplicates and uninvited subjects across the treatment and control groups. Moreover, the experiment yielded consistent results in line with the framing literature.
    1. I think it is fair to say that the broad focus of health psychology in the UK is on non-communicable disease and lifestyle-related health behaviours. I would like to suggest that perhaps the discipline could devote a little more time to infectious diseases, and not just because we find ourselves in the midst of the coronavirus pandemic. In this reflective piece, I outline some of the assumptions that I held, that I sought to challenge in Stage 1 students, and that I suspect are relatively implicit across health psychology as a discipline.
    1. The present study describes the adaption and scale validation of a brief measure of contagion-related fear and threat in Australian, Indian, and Nepali university students in Australia at the height of the COVID-19 pandemic. Adapted from Ho, Kwong-Lo, Mak, and Wong’s (2005) SARS fear scale, the Contagion Fear and Threat Scale (CFTS) was developed rapidly to capture COVID-19 pandemic-related fear. The 10-item scale was administered to 164 Australian, 111 Indian, and 147 Nepali university students studying in Australia in May-June 2020. Factor analysis revealed two 5-item factors in the Australian student sample: Fear of Infection and Existential Threat. These factors were largely reflected in the Indian student sample but substantially different in the Nepali student sample. The convergent and discriminant validity of the full CFTS, Fear, and Threat scales are indicated via correlations with established measures of depression, anxiety, stress, subjective wellbeing, and locus of control. Psychometric variance of the CFTS between the three samples are considered in terms of demographic, sociocultural, and linguistic differences.
    1. The pandemic is far from over, but it’s already obvious some countries have done better than others. Germany is one, with fewer infections and lower mortality from covid-19 than many of its European neighbours. Well timed lockdown measures and an extensive, community based system of testing and contact tracing have paid off, says Ralph Reintjes.1 There’s still time to get this right in the UK, argue Peter Roderick and colleagues.2 They emphasise the need to “think local” and reintegrate testing and contact tracing into established regional systems. Meanwhile, the current centralised approach and reliance on commercially run tests mean that results are not reliably communicated to patients’ GPs or those doing local contact tracing.
    1. A cornerstone of containing the COVID-19 pandemic is widespread testing to identify cases and prevent new outbreaks emerging. This strategy is known as “test, trace and isolate”. The standard test so far has been the swab test, in which a swab goes up your nose and to the back of your throat. But an alternative method of specimen collection, using saliva, is being evaluated in Victoria and other parts of the world. It may have some benefits, even though it’s not as accurate.
    1. If your lab is still shuttered and work is a struggle, technology researcher Sun Sun Lim offers advice on how to switch off.
    1. As coronavirus cases soar in the US, Brazil and other countries in the Americas, some countries have found strategies to contain the virus and limit deaths. More than 5 million confirmed cases of covid-19 and nearly 250,000 related deaths have been reported in the Americas as of 29 June, around half of the world total. The coronavirus is spreading exponentially in many countries, warned Carissa Etienne, the director of the Pan American Health Organization (PAHO) on 9 June. But in a few places, the picture is very different. Cuba, an island of 11.3 million people is an unlikely exemplar of how to manage a pandemic, according to Michael Bustamante at Florida International University. Its infamously long queues for state-provided goods make social distancing and self-isolation difficult, he says, and the country’s healthcare system, “suffers from scarcities and material shortages that are characteristic of the Cuban economy as a whole”.
    1. The latest coronavirus news updated every day including coronavirus cases, the latest news, features and interviews from New Scientist and essential information about the covid-19 pandemic
    1. America’s priciest apartment-rental market suddenly has more bargains.Rents for a San Francisco one-bedroom apartment have dropped about 12% from this time last year, a record monthly decline for the city, according to a report from listing site Zumper. Silicon Valley hubs such as Mountain View and Palo Alto also saw rents plunge -- a sign residents of the tech-heavy region are taking advantage of remote work arrangements to flee to cheaper areas.
    1. Risk often gets a bad press. From the seemingly unnecessary actions of extreme sportspeople to the excessive risk appetites of serial entrepreneurs, the term 'risky' is often seen as synonymous with 'reckless', 'foolhardy' or even downright dangerous.But could any of us live in a world without risk, and would it be desirable to do so?Through a series of nine wonderfully rich pen portraits, Polly Morland takes us on a journey through the world of risk, looking not at the extremes or exceptions, but at the routine risks we accept and embrace as part of our everyday lives, often unconsciously.Meet the families who have lived happily on the slopes of Mount Vesuvius for generations; the Paris Opera ballet dancer facing up to the physical, psychological and reputational risks her profession demands; the New York City forensic engineer for whom being first on the scene is just part of the day job. And marvel at the parents and playworkers who every day balance the risks and rewards of how much autonomy and independence to afford growing children.The stories in Risk Wise address fundamental questions about risk and our perceptions about risk-taking. It argues that being risk wise - the ability to understand and accept risk as a force for good - is an essential part of the human experience and a route to living a full and rewarding life.
    1. THE coronavirus is still circulating yet many countries are taking steps to relax restrictions. If you have been asked to return to work or send your children back to school, how can you minimise the risk of infection to yourself and your family? Although there are still many unknowns about the virus, a growing amount of data on how it transmits and survives on surfaces can guide our decisions.
    1. That means that, on their best behavior with full measures in place, it took New York state roughly 19 days to cut the case load in half. But unchecked, it took less than two days for it to double.
    1. The W.H.O. has resisted mounting evidence that viral particles floating indoors are infectious, some scientists say. The agency maintains the research is still inconclusive.
    1. A SARS-CoV-2 vaccine is needed to control the global COVID-19 public health crisis. Atomic-level structures directed the application of prefusion-stabilizing mutations that improved expression and immunogenicity of betacoronavirus spike proteins. Using this established immunogen design, the release of SARS-CoV-2 sequences triggered immediate rapid manufacturing of an mRNA vaccine expressing the prefusion-stabilized SARS-CoV-2 spike trimer (mRNA-1273). Here, we show that mRNA-1273 induces both potent neutralizing antibody and CD8 T cell responses and protects against SARS-CoV-2 infection in lungs and noses of mice without evidence of immunopathology. mRNA-1273 is currently in a Phase 2 clinical trial with a trajectory towards Phase 3 efficacy evaluation.
    1. An outbreak of the novel coronavirus disease 2019 (COVID-19) occurred in Wuhan, China, in December 2019, which then rapidly spread to more than 80 countries. However, detailed information on the characteristics of COVID-19 in children is still scarce. Five patients with non-respiratory symptoms as the first manifestation were hospitalized from the emergency department, and were later confirmed to have COVID-19, between 23 January and 20 February 2020, at the Wuhan Children's Hospital. SARS-CoV-2 nucleic acid detection was positive for all the patients. Four of the patients were male and one was female, and their ages ranged from 2-months to 5.6 years. All lived in Wuhan. One patient had a clear history of exposure to SARS-CoV-2, one had a suspected history of exposure, while the others had no exposure history. For three of the five patients, the primary onset disease required an emergency operation or treatment, and included intussusception, acute suppurative appendicitis perforation with local peritonitis, and traumatic subdural hemorrhage with convulsion, while for the other two it was acute gastroenteritis (including one patient with hydronephrosis and a stone in his left kidney). During the course of the disease, four of the five patients had a fever, whereas one case had no fever or cough. Two patients had leukopenia, and one also had lymphopenia. In the two cases of severe COVID-19, the levels of CRP, PCT, serum ferritin, IL-6, and IL-10 were significantly increased, whereas the numbers of CD3+, CD4+, CD8+ T lymphocytes, and CD16 + CD56 natural killer cells were decreased. We also found impaired liver, kidney, and myocardial functions; the presence of hypoproteinemia, hyponatremia, and hypocalcemia; and, in one case, abnormal coagulation function. Except for one patient who had a rotavirus infection, all patients tested negative for common pathogens, including the influenza virus, parainfluenza virus, respiratory syncytial virus, adenovirus, enterovirus, mycoplasma, Chlamydia, and Legionella. Chest CT images of all the patients showed patches or ground-glass opacities in the lung periphery or near the pleura, even large consolidations. This case series is the first report to describe the clinical features of COVID-19 with non-respiratory symptoms as the first manifestation in children.
    1. SARS coronavirus 2 (SARS-CoV-2) isolates encoding a D614G mutation in the viral spike (S) protein predominate over time in locales where it is found, implying that this change enhances viral transmission. We therefore compared the functional properties of the S proteins with aspartic acid (SD614) and glycine (SG614) at residue 614. We observed that retroviruses pseudotyped with SG614 infected ACE2-expressing cells markedly more efficiently than those with SD614. This greater infectivity was correlated with less S1 shedding and greater incorporation of the S protein into the pseudovirion. Similar results were obtained using the virus-like particles produced with SARS-CoV-2 M, N, E, and S proteins. However, SG614 did not bind ACE2 more efficiently than SD614, and the pseudoviruses containing these S proteins were neutralized with comparable efficiencies by convalescent plasma. These results show SG614 is more stable than SD614, consistent with epidemiological data suggesting that viruses with SG614 transmit more efficiently.
    1. The global pandemic of COVID-19 cases caused by infection with SARS-CoV-2 is ongoing, with no approved antiviral intervention. We describe here the effects of treatment with interferon (IFN)-α2b in a cohort of confirmed COVID-19 cases in Wuhan, China. In this uncontrolled, exploratory study, 77 adults hospitalized with confirmed COVID-19 were treated with either nebulized IFN-α2b (5 mU b.i.d.), arbidol (200 mg t.i.d.) or a combination of IFN-α2b plus arbidol. Serial SARS-CoV-2 testing along with hematological measurements, including cell counts, blood biochemistry and serum cytokine levels, and temperature and blood oxygen saturation levels, were recorded for each patient during their hospital stay. Treatment with IFN-α2b with or without arbidol significantly reduced the duration of detectable virus in the upper respiratory tract and in parallel reduced duration of elevated blood levels for the inflammatory markers IL-6 and CRP. These findings suggest that IFN-α2b should be further investigated as a therapy in COVID-19 cases.
    1. Background The corona virus disease 2019 (COVID-19) pandemic poses a severe challenge to public health, especially to those patients with underlying diseases. In this meta-analysis, we studied the prevalence of cancer among patients with COVID-19 infection and their risks of severe events. Methods We searched the Pubmed, Embase and MedRxiv databases for studies between December 2019 and May 3, 2020 using the following key words and terms: sars-cov-2, covid-19, 2019-ncov, 2019 novel coronavirus, corona virus disease-2019, clinical, clinical characteristics, clinical course, epidemiologic features, epidemiology, and epidemiological characteristics. We extracted data following PICO (patient, intervention, comparison and outcome) chart. Statistical analyses were performed with R Studio (version 3.5.1) on the group-level data. We assessed the studies risk of bias in accordance to the adjusted Joanna Briggs Institute. We estimated the prevalence or risks for severe events including admission into intensive care unit or death using meta-analysis with random effects. Findings Out of the 2,551 studies identified, 32 studies comprising 21,248 participants have confirmed COVID-19. The total prevalence of cancer in COVID-19 patients was 3.97% (95% CI, 3.08% to 5.12%), higher than that of the total cancer rate (0.29%) in China. Stratification analysis showed that the overall cancer prevalence of COVID-19 patients in China was 2.59% (95% CI, 1.72% to 3.90%), and the prevalence reached 3.79% in Wuhan (95% CI, 2.51% to 5.70%) and 2.31% (95% CI, 1.16% to 4.57%) in other areas outside Wuhan in China. The incidence of ICU admission in cancer patients with COVID-19 was 26.80% (95% CI, 21.65% to 32.67%) and the mortality was 24.32% (95% CI, 13.95% to 38.91%), much higher than the overall rates of COVID-19 patients in China. The fatality in COVID patients with cancer was lower than those with cardiovascular disease (OR 0.49; 95% CI, 0.34 to 0.71; p=0.39), but comparable with other comorbidities such as diabetes (OR 1.32; 95% CI, 0.42 to 4.11; p=0.19), hypertension (OR 1.27; 95% CI, 0.35 to 4.62; p=0.13), and respiratory diseases (OR 0.79; 95% CI, 0.47 to 1.33; p=0.45). Interpretation This comprehensive meta-analysis on the largest number of patients to date provides solid evidence that COVID-19 infection significantly and negatively affected the disease course and prognosis of cancer patients. Awareness of this could help guide clinicians and health policy makers in combating cancer in the context of COVID-19 pandemic
    1. Flushing the toilet with the lid up creates a cloud of spray that can be breathed in and may spread infection, such as coronavirus, say researchers.
    1. Currently, a novel coronavirus named “SARS-CoV-2” is spreading rapidly across the world, causing a public health crisis, economic losses, and panic. Fecal–oral transmission is a common transmission route for many viruses, including SARS-CoV-2. Blocking the path of fecal–oral transmission, which occurs commonly in toilet usage, is of fundamental importance in suppressing the spread of viruses. However, to date, efforts at improving sanitary safety in toilet use have been insufficient. It is clear from daily experience that flushing a toilet generates strong turbulence within the bowl. Will this flushing-induced turbulent flow expel aerosol particles containing viruses out of the bowl? This paper adopts computational fluid dynamics to explore and visualize the characteristics of fluid flow during toilet flushing and the influence of flushing on the spread of virus aerosol particles. The volume-of-fluid (VOF) model is used to simulate two common flushing processes (single-inlet flushing and annular flushing), and the VOF–discrete phase model (DPM) method is used to model the trajectories of aerosol particles during flushing. The simulation results are alarming in that massive upward transport of virus particles is observed, with 40%–60% of particles reaching above the toilet seat, leading to large-scale virus spread. Suggestions concerning safer toilet use and recommendations for a better toilet design are also provided
    1. A new study found evidence of a correlation between severe cases of COVID-19 and brain complications, but researchers aren't sure whether those complications are directly caused by the disease.
    1. BackgroundConcerns regarding potential neurological complications of COVID-19 are being increasingly reported, primarily in small series. Larger studies have been limited by both geography and specialty. Comprehensive characterisation of clinical syndromes is crucial to allow rational selection and evaluation of potential therapies. The aim of this study was to investigate the breadth of complications of COVID-19 across the UK that affected the brain.MethodsDuring the exponential phase of the pandemic, we developed an online network of secure rapid-response case report notification portals across the spectrum of major UK neuroscience bodies, comprising the Association of British Neurologists (ABN), the British Association of Stroke Physicians (BASP), and the Royal College of Psychiatrists (RCPsych), and representing neurology, stroke, psychiatry, and intensive care. Broad clinical syndromes associated with COVID-19 were classified as a cerebrovascular event (defined as an acute ischaemic, haemorrhagic, or thrombotic vascular event involving the brain parenchyma or subarachnoid space), altered mental status (defined as an acute alteration in personality, behaviour, cognition, or consciousness), peripheral neurology (defined as involving nerve roots, peripheral nerves, neuromuscular junction, or muscle), or other (with free text boxes for those not meeting these syndromic presentations). Physicians were encouraged to report cases prospectively and we permitted recent cases to be notified retrospectively when assigned a confirmed date of admission or initial clinical assessment, allowing identification of cases that occurred before notification portals were available. Data collected were compared with the geographical, demographic, and temporal presentation of overall cases of COVID-19 as reported by UK Government public health bodies.FindingsThe ABN portal was launched on April 2, 2020, the BASP portal on April 3, 2020, and the RCPsych portal on April 21, 2020. Data lock for this report was on April 26, 2020. During this period, the platforms received notification of 153 unique cases that met the clinical case definitions by clinicians in the UK, with an exponential growth in reported cases that was similar to overall COVID-19 data from UK Government public health bodies. Median patient age was 71 years (range 23–94; IQR 58–79). Complete clinical datasets were available for 125 (82%) of 153 patients. 77 (62%) of 125 patients presented with a cerebrovascular event, of whom 57 (74%) had an ischaemic stroke, nine (12%) an intracerebral haemorrhage, and one (1%) CNS vasculitis. 39 (31%) of 125 patients presented with altered mental status, comprising nine (23%) patients with unspecified encephalopathy and seven (18%) patients with encephalitis. The remaining 23 (59%) patients with altered mental status fulfilled the clinical case definitions for psychiatric diagnoses as classified by the notifying psychiatrist or neuropsychiatrist, and 21 (92%) of these were new diagnoses. Ten (43%) of 23 patients with neuropsychiatric disorders had new-onset psychosis, six (26%) had a neurocognitive (dementia-like) syndrome, and four (17%) had an affective disorder. 18 (49%) of 37 patients with altered mental status were younger than 60 years and 19 (51%) were older than 60 years, whereas 13 (18%) of 74 patients with cerebrovascular events were younger than 60 years versus 61 (82%) patients older than 60 years.InterpretationTo our knowledge, this is the first nationwide, cross-specialty surveillance study of acute neurological and psychiatric complications of COVID-19. Altered mental status was the second most common presentation, comprising encephalopathy or encephalitis and primary psychiatric diagnoses, often occurring in younger patients. This study provides valuable and timely data that are urgently needed by clinicians, researchers, and funders to inform immediate steps in COVID-19 neuroscience research and health policy.
    1. The question comes as states are allowing indoor businesses to reopen, as well as allowing increasingly large gatherings of people.
    1. A handful of mostly small studies have described the existence of cases where patients had symptoms or were shedding virus for longer than 20 days, though they appear to be a fairly small percentage.A recent preprint, not yet peer-reviewed study of patients in Atlanta, Georgia, noted that reported symptoms “remained common” after three weeks. The study “highlights the persistence of symptoms that may interfere with usual activity, such as shortness of breath with exertion,” the authors wrote.In many of these patients, symptoms “appear to wax and wane,” Jenne said.“So they’ll have sort of attacks or flares and then it’ll go away. And throughout this time, people have been shown to test positive for the virus. So it seems as though that they don’t actually clear all the virus.”
    1. Researchers at the Istituto Superiore di Sanità (Italian National Institute of Health) have shown that severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) had already been circulating in Italy many weeks before the first autochthonous (native) case was documented on February 21st this year. The team conducted a retrospective search for genomic traces of the virus in sewage samples taken from wastewater treatment plants (WTPs) in northern Italy before the first autochthonous case had been recorded. Eight samples tested positive for SARS-CoV-2, with the earliest case dating all the way back to December 18th, 2019.
    1. The present research investigated a backfiring effect of social interaction on well-being and general confidence in Western populations during the COVID-19 pandemic period. Across two studies, we observed that stronger self-other connectedness and frequent social communication with others during the first few weeks into the quarantine period led to worsened well-being and decreased general confidence. In study 1 (n = 331), we showed that people who reported higher social connectedness and more frequent social interaction experienced declined well-being. In study 2 (n = 327), we replicated the backfiring effect and showed that those who engaged in frequent social interaction, especially in COVID-19 related conversations, reported decreased general confidence, which mediated the accelerating effect of social interaction on panic buying. Overall, our findings indicated that frequent social interaction under a highly novel and uncertain crisis can induce negative consequences on mental health and behavior.
    1. Resuming classroom instruction is crucial. Infection control inside and outside classrooms can let it happen.
    1. Spain, the Netherlands and South Africa are among the countries where secondary schools have resumedSwiss and Dutch authorities both say there is only a very small risk of younger pupils spreading the diseaseThe issue is a political battleground in Britain where Boris Johnson and Keir Starmer squabbled at PMQs today
    1. Education Ministry says 301 students, teachers have tested positive for COVID-19 during fresh outbreak, leading to shuttering of 87 educational institutions across country
    1. Det är av vikt att identifiera grupper i befolkningen som har en ökad risk att drabbas av allvarlig sjuklighet och dödlighet i covid-19 i syfte att bedriva riktade insatser och förebygga fortsatt smittspridning. För att få kunskap om insjuknande i covid-19 skiljer sig mellan olika yrkesgrupper har persondata från anmälningarmed bekräftad covid-19 samkörts med register över yrkesklassificering vid SCB. De som har diagnostiserats under perioden 13 mars – 27 maj har inkluderats i analyserna. Den högsta relativa förekomsten av covid-19 återfanns bland yrkesgruppen taxiförare m.fl., 4.8 gånger högre i jämförelse med övriga yrkesgrupper, följt av yrkesgrupperna pizzabagare m.fl. och buss- och spårvagnsförare. Personal inomskola har inte någon högre relativ förekomst i jämförelse med övriga yrken.
    1. Transmission risk of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) in schools is unknown. Our investigations, especially in preschools, could not detect SARS-CoV-2 transmission despite screening of symptomatic and asymptomatic children. The data suggest that children are not the primary drivers of SARS-CoV-2 transmission in schools and could help inform exit strategies for lifting of lockdowns.
    1. As many countries begin to lift some of the restrictions to contain COVID-19 spread, lack of evidence of transmission in the school setting remains. We examined Irish notifications of SARS-CoV2 in the school setting before school closures on 12 March 2020 and identified no paediatric transmission. This adds to current evidence that children do not appear to be drivers of transmission, and we argue that reopening schools should be considered safe accompanied by certain measures.
    1. Background: The extent of SARS-CoV-2 transmission among pupils in primary schools and their families is unknown. Methods: Between 28-30 April 2020, a retrospective cohort study was conducted among pupils, their parents and relatives, and staff of primary schools exposed to SARS-CoV-2 in February and March 2020 in a city north of Paris, France. Participants completed a questionnaire that covered sociodemographic information and history of recent symptoms. A blood sample was tested for the presence of anti-SARS-CoV-2 antibodies using a flow-cytometry-based assay. Results: The infection attack rate (IAR) was 45/510 (8.8%), 3/42 (7.1%), 1/28 (3.6%), 76/641 (11.9%) and 14/119 (11.8%) among primary school pupils, teachers, non-teaching staff, parents, and relatives, respectively (P = 0.29). Prior to school closure on February 14, three SARS-CoV-2 infected pupils attended three separate schools with no secondary cases in the following 14 days among pupils, teachers and non-teaching staff of the same schools. Familial clustering of cases was documented by the high proportion of antibodies among parents and relatives of infected pupils (36/59 = 61.0% and 4/9 = 44.4%, respectively). In children, disease manifestations were mild, and 24/58 (41.4%) of infected children were asymptomatic. Interpretation: In young children, SARS-CoV-2 infection was largely mild or asymptomatic and there was no evidence of onwards transmission from children in the school setting.
    1. Background: The Oise department in France has been heavily affected by COVID-19 in early 2020. Methods: Between 30 March and 4 April 2020, we conducted a retrospective closed cohort study among pupils, their parents and siblings, as well as teachers and non-teaching staff of a high-school located in Oise. Participants completed a questionnaire that covered history of fever and/or respiratory symptoms since 13 January 2020 and had blood tested for the presence of anti-SARS-CoV-2 antibodies. The infection attack rate (IAR) was defined as the proportion of participants with confirmed SARS-CoV-2 infection based on antibody detection. Blood samples from two blood donor centres collected between 23 and 27 March 2020 in the Oise department were also tested for presence of anti-SARS-CoV-2 antibodies. Findings: Of the 661 participants (median age: 37 years), 171 participants had anti-SARS-CoV-2 antibodies. The overall IAR was 25.9% (95% confidence interval (CI) = 22.6-29.4), and the infection fatality rate was 0% (one-sided 97.5% CI = 0-2.1). Nine of the ten participants hospitalised since mid-January were in the infected group, giving a hospitalisation rate of 5.3% (95% CI = 2.4-9.8). Anosmia and ageusia had high positive predictive values for SARS-CoV-2 infection (84.7% and 88.1%, respectively). Smokers had a lower IAR compared to non-smokers (7.2% versus 28.0%, P <0.001). The proportion of infected individuals who had no symptoms during the study period was 17.0% (95% CI = 11.2-23.4). The proportion of donors with anti-SARS-CoV-2 antibodies in two nearby blood banks of the Oise department was 3.0% (95% CI = 1.1-6.4). Interpretation: The relatively low IAR observed in an area where SARS-CoV-2 actively circulated weeks before confinement measures indicates that establishing herd immunity will take time, and that lifting these measures in France will be long and complex.
    1. In NSW, from March to mid-April 2020, 18 individuals (9 students and 9 staff) from 15 schools were confirmed as COVID-19 cases; all of these individuals had an opportunity to transmit the COVID-19 virus (SARS-CoV-2) to others in their schools. 735 students and 128 staff were close contacts of these initial 18 cases. One child from a primary school and one child from a high school may have contracted COVID-19 from the initial cases at their schools. No teacher or staff member contracted COVID-19 from any of the initial school cases.
    1. The COVID-19 pandemic has sparked an urgent need to uncover the underlying biology of this devastating disease. Though RNA viruses mutate more rapidly than DNA viruses, there are a relatively small number of single nucleotide polymorphisms (SNPs) that differentiate the main SARS-CoV-2 clades that have spread throughout the world. In this study, we investigated over 7,000 SARS-CoV-2 datasets to unveil both intrahost and interhost diversity. Our intrahost and interhost diversity analyses yielded three major observations. First, the mutational profile of SARS-CoV-2 highlights iSNV and SNP similarity, albeit with high variability in C>T changes. Second, iSNV and SNP patterns in SARS-CoV-2 are more similar to MERS-CoV than SARS-CoV-1. Third, a significant fraction of small indels fuel the genetic diversity of SARS-CoV-2. Altogether, our findings provide insight into SARS-CoV-2 genomic diversity, inform the design of detection tests, and highlight the potential of iSNVs for tracking the transmission of SARS-CoV-2.
    1. Missing data is much studied in epidemiology and statistics. Theoretical development and application of methods for handling missing data have mostly been conducted in the context of prospective research data, and with a goal of description or causal explanation. However, it is now common to build predictive models using routinely collected data, where missing patterns may convey important information, and one might take a pragmatic approach to optimising prediction. Therefore, different methods to handle missing data may be preferred. Furthermore, an underappreciated issue in prediction modelling is that the missing data method used in model development may not match the method used when a model is deployed. This may lead to over-optimistic assessments of model performance.
    1. In Episode 2, John Lettieri sits down with Dr. Adam Ozimek, chief economist at the online talent platform Upwork. They discuss how the COVID-19 crisis could permanently influence the future of remote work, and how being an economist and small business owner in Lancaster, PA, influences Adam’s perspective on the challenges facing the U.S. in the midst of an unprecedented crisis. 
    1. This addendum specifies statewide triage protocols for acute care facilities during the COVID-19 pandemic. It corresponds with theArizona Crisis Standards of Care Plan, 3rd edition but offers further guidance to reflectcurrent best practices and recently published evidence on COVID-19. Triage color groupings have been updated to include SOFA scores consistent with current literature. After describing the Scope and Principles, the structure of this Addendum includes Section A (Stabilization of Patients Awaiting Triage), Section B (COVID-19 Triage Protocols for Scarce Resource Allocation), Section C (Pediatric Considerations) and References.
    1. A historic and calamitous milestone was reached this week. WHO reported more than 10 million cases of COVID-19 and over 500 000 COVID-19 deaths. The world's political leaders have been tested and they have been found wanting. It's hard to recall a more lamentable response to a global emergency. Even the climate crisis had its Kyoto and Paris agreements. But despite the urgency of this continuing human catastrophe, despite the immediacy of the economic collapse we are witnessing, there has still been no moment when nations have been convened to reflect on lessons to be learned, to coordinate actions to protect citizens, and to plan for future spikes or waves of infection
    1. New Data on NYC Resident Deaths Outside of City On June 30, the count of New Yorkers who have died of COVID-19 increased by 692. Most of that increase is due to new information we received from the NYS Department of Health about city residents who died outside the city. The vast majority of these deaths occurred more than three weeks ago. The data presented on these pages reflect the most recent information the Health Department has collected about people who have tested positive for COVID-19 in NYC. In March, April and early May, we had discouraged people with mild and moderate symptoms from being tested, so our data primarily represent people with more severe illness. This page includes data visualizations. To view the data as csv files, click here to visit our Github repository. Unless otherwise noted, all of the below information was collected by the NYC Health Department. The data on these pages will be updated daily. All data are preliminary and subject to change.
    1. This study is a cross-linguistic, conceptual replication of Lynott and Connell’s (2009, 2013) modality exclusivity norms. Their English properties and concepts were translated into Dutch, then independently tested as follows. Forty-two respondents rated the auditory, haptic, and visual strength of those words. Mean scores were then computed, with a high interrater reliability and interitem consistency. Based on the three modalities, each word also features a specific modality exclusivity, and a dominant modality. The norms also include external measures of word frequency, length, distinctiveness, age of acquisition, and known percentage. Starting with the results, unimodal, bimodal, and tri-modal words appear. Visual and haptic experience are quite related, leaving a more independent auditory experience. These different relations are important because they may correlate with different levels of detail in word comprehension (Louwerse & Connell, 2011). Auditory and visual words tend toward unimodality, whereas haptic words tend toward multimodality. Likewise, properties are more unimodal than concepts. Last, the 'sound symbolism' hypothesis was tested by means of a regression: Auditory strength predicts lexical properties of the words (e.g., frequency, distinctiveness) better than the other modalities do, or else with a different polarity. All the data and analysis code are available at https://osf.io/brkjw/.
    1. OF ALL THE outcomes that might accompany a global pandemic, a historic stockmarket boom seems among the least likely. And yet on June 30th the S&P 500, America's main index, ended the second quarter up by 20% on its March 31st close, its strongest quarterly performance in more than two decades. The rally has puzzled investors. Since March 23rd, the market has soared by 39%, even as the country’s official covid-19 death toll has climbed to more than 127,000. It is now just 8% below its historic peak. Why?
    1. Stochastic epidemic models on networks are inherently high-dimensional and the resulting exact models are intractable numerically even for modest network sizes. Mean-field models provide an alternative but can only capture average quantities, thus offering little or no information about variability in the outcome of the exact process. In this paper we conjecture and numerically prove that it is possible to construct PDE-limits of the exact stochastic SIS epidemics on regular and Erdős-Rényi networks. To do this we first approximate the exact stochastic process at population level by a Birth-and-Death process (BD) (with a state space of O(N)O(N) rather than O(2N)O(2^N)) whose coefficients are determined numerically from Gillespie simulations of the exact epidemic on explicit networks. We numerically demonstrate that the coefficients of the resulting BD process are density-dependent, a crucial condition for the existence of a PDE limit. Extensive numerical tests for Regular and Erdős-Rényi networks show excellent agreement between the outcome of simulations and the numerical solution of the Fokker-Planck equations. Apart from a significant reduction in dimensionality, the PDE also provides the means to derive the epidemic outbreak threshold linking network and disease dynamics parameters, albeit in an implicit way. Perhaps more importantly, it enables the formulation and numerical evaluation of likelihoods for epidemic and network inference as illustrated in a worked out example.
    1. Trust in the health care system requires being confident that sufficient and appropriate treatments will be provided if needed. The COVID-19 public health crisis is a significant, global, and (mostly) simultaneous test of the behavioral implications arising from this trust. We explore whether populations reporting low levels of confidence in the health care system exhibit a stronger behavioral reaction to the COVID-19 pandemic. We track the dynamic responses to the COVID-19 pandemic across 38 countries and 621 regions by exploiting a large dataset on human mobility generated between February 15 and June 5, 2020 and a broad range of contextual factors (e.g. deaths or policy implementations). Using a time-dynamic framework we find that societies with low levels of health care confidence initially exhibit a faster response with respect to staying home. However, this reaction plateaus sooner, and after the plateau it declines with greater magnitude than does the response from societies with high health care confidence. On the other hand, regions with higher confidence in the health care system are more likely to reduce mobility once the government mandates that its citizens are not to leave home except for essential trips, compared to those with lower health care system confidence. Regions with high trust in the government but low confidence in the health care system dramatically reduce their mobility, suggesting a correlation for trust in the state with respect to behavioral responses during a crisis.
    1. Daniel Quintana will cover why social media skills are crucial for researchers and provide practical tips for how Twitter can be used to keep up-to-date with emerging methods, find new collaborators, and share your work with a global community of scientists. Daniel also touches on how Twitter can help scientists overcome gatekeeping in academia, and promote reproducible and open research.
    1. The study of network formation is pervasive in economics, sociology, and many other fields. In this paper, we model network formation as a ``choice'' that is made by nodes in a network to connect to other nodes. We study these ``choices'' using discrete-choice models, in which an agent chooses between two or more discrete alternatives. One framework for studying network formation is the multinomial logit (MNL) model. We highlight limitations of the MNL model on networks that are constructed from empirical data. We employ the ``repeated choice'' (RC) model to study network formation \cite{TrainRevelt97mixedlogit}. We argue that the RC model overcomes important limitations of the MNL model and is well-suited to study network formation. We also illustrate how to use the RC model to accurately study network formation using both synthetic and real-world networks. Using synthetic networks, we also compare the performance of the MNL model and the RC model; we find that the RC model estimates the data-generation process of our synthetic networks more accurately than the MNL model. We provide examples of qualitatively interesting questions -- the presence of homophily in a teen friendship network and the fact that new patents are more likely to cite older, more cited, and similar patents -- for which the RC model allows us to achieve insights.
    1. We study the dynamics of opinion formation in the situation where changing opinion involves a cost for the agents. To do so we couple the dynamics of a heterogeneous bounded confidence Hegselmann-Krause model with that of the resources that the agents invest on each opinion change. The outcomes of the dynamics are non-trivial and strongly depend on the different regions of the confidence parameter space. In particular, a second order phase transition, for which we determine the corresponding critical exponents, is found in the region where a re-entrant consensus phase is observed in the heterogeneous Hegselmann-Krause model. For regions where consensus always exist in the heterogeneous Hegselmann-Krause model, the introduction of cost does not lead to a phase transition but just to a continuous decrease of the size of the largest opinion cluster. Finally in the region where fragmentation is expected in the heterogeneous HK model, the introduction of a very small cost paradoxically increases the size of the largest opinion cluster.
    1. Opinion polarization is on the rise, causing concerns for the openness of public debates. Additionally, extreme opinions on different topics often show significant correlations. The dynamics leading to these polarized ideological opinions pose a challenge: How can such correlations emerge, without assuming them a priori in the individual preferences or in a preexisting social structure? Here we propose a simple model that reproduces ideological opinion states found in survey data, even between rather unrelated, but sufficiently controversial, topics. Inspired by skew coordinate systems recently proposed in natural language processing models, we solidify these intuitions in a formalism where opinions evolve in a multidimensional space where topics form a non-orthogonal basis. The model features a phase transition between consensus, opinion polarization, and ideological states, which we analytically characterize as a function of the controversialness and overlap of the topics. Our findings shed light upon the mechanisms driving the emergence of ideology in the formation of opinions.
    1. The Centre for Statistics (University of Edinburgh) are honoured to welcome Prof. David Spiegelhalter to discuss the challenges of communicating in the age of COVID. Can we communicate deeper uncertainty about facts, numbers, or scientific hypotheses without losing trust and credibility? It is claimed we live in a ‘post-truth’ society in which emotional responses dominate balanced consideration of evidence. This presents a strong challenge to those who value quantitative and scientific evidence: How can we communicate statistics, risks and unavoidable scientific uncertainty in a transparent and trustworthy way?
    1. Sage advice from an advisor to SAGE! The thing with quality is that the analyst’s job is never done. It is a moving target. In the Quality Assurance of Administrative Data guidance from the Office for Statistics Regulation (OSR), the importance of understanding where the data come from and how and why they were collected is emphasised. But this information isn’t static – systems and policies may alter. And data sources will change as a result. Being alert for this variation is an ongoing, everyday task. It includes building relationships with others in the data journey, to share insight and understanding about the data and to keep a current view about the data source. As Sir Ian went on to point out in his evidence, it should involve triangulating against other sources of data.
    1. Younger children will no longer have to follow distancing rules when meeting other children or adults outdoors in Scotland.
    1. DAVIS, Calif. — The community around the University of California, Davis, used to have a population of 70,000 and a thriving economy. Rentals were tight. Downtown was jammed. Hotels were booked months in advance for commencement. Students swarmed to the town’s bar crawl, sampling the trio of signature cocktails known on campus as “the Davis Trinity.”Then came the coronavirus. When the campus closed in March, an estimated 20,000 students and faculty left town.With them went about a third of the demand for goods and services, from books to bikes to brunches. City officials are expecting most of that demand to stay gone even as the economy reopens.
    1. The mental health crisis in academia has been a widely discussed topic over the past few years in academic journals, blogs, as well as on academic Twitter. Although open discussions about mental health finally seem to be coming out of the shadows, several myths and misconceptions prevail about mental health in academia – for example, “Researchers who seem to be doing well at work don’t struggle with mental health issues” or “Once you talk to someone about what you’re going through, your mental health difficulties are permanently resolved.”
    1. The UK's first local lockdown has been introduced in Leicester, following a spike in coronavirus cases.How will they be enforced and how could they be used elsewhere?Who decides when a local lockdown is needed?It depends whether there is a cluster or an outbreak.A single premises with a coronavirus cluster is likely to be closed temporarily by the local director of public health and the Health and Safety Executive, and must legally remain shut.These powers have been used previously to deal with salmonella or Legionnaires' disease outbreaks. /**/ (function() { if (window.bbcdotcom && bbcdotcom.adverts && bbcdotcom.adverts.slotAsync) { bbcdotcom.adverts.slotAsync('mpu', [1,2,3]); } })(); /**/ If there is evidence of a bigger coronavirus outbreak in a town, city or region, several organisations decide the response.
    1. The world’s tourism sector could lose at least $1.2 trillion, or 1.5% of the global gross domestic product (GDP), having been placed at a standstill for nearly four months due to the coronavirus pandemic, UNCTAD said in a report published on 1 July.
    1. BehavioursWorks is leading the Australian chapter of the Survey of COVID-19 Responses to Understand Behaviour (SCRUB) project, which aims to give policymakers actionable insights into public attitudes and behaviours relating to the COVID-19 pandemic.More than 120 international collaborators are involved in the project and over 6,000 surveys have been completed by people from more than 40 countries (including many repeat respondents).The survey measures behaviour, behavioural drivers, COVID-19 attitudes and beliefs, and demographic variables. Outputs include:An interactive dashboard of survey responses,Open data for research academics to answer urgent behavioural research questions and provide a resource for future pandemic preparedness.The following are a few findings from the fourth wave of Australian data, collected between 01/06/2020 – 12/06/2020 and funded by the Victorian Government.
    1. In an attempt to reduce the transmission of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), an estimated 4·5 billion people globally have been placed under some form of lockdown restriction. In the UK, non-essential movement constraints and physical distancing have been in place since March 23, 2020. Modelling and early empirical investigations indicate that physical distancing measures are crucial to reduce transmission of the virus, consequent pressure on health systems, and the number of deaths. For these policies to be successful, adequate compliance must be achieved. To help monitor this compliance, we have developed code to enable us to map national mobility data for the UK, which can also be applied to the data available for 131 other countries and 1167 subregions. The code we used is openly available online.Adherence to movement restriction regulations is challenging and a risk of increasing non-compliance (or so-called lockdown fatigue) exists. Observational evidence suggests that rather than fatigue, the practicalities of daily living are leading some people in the UK to increase activity as their supplies decrease.1CPG FMCG & RetailCOVID 19 intelligence round-up. Nielsen, March 3, 2020https://www.nielsen.com/eu/en/insights/video/2020/covid-19-intelligence-roundup/Date accessed: March 30, 2020Google Scholar,  2Rigby C RetailX tracker: how has the way we shop changed, two weeks into coronavirus?. Internet Retailing, March 27, 2020https://internetretailing.net/covid-19/retailx-tracker-how-has-the-way-we-shop-changed-two-weeks-into-coronavirus-21175Date accessed: March 27, 2020Google Scholar These observations are important because a key modelling study of mitigation strategies for reducing transmission in the UK assumed a 75% reduction in contacts as part of a social distancing strategy that was subsequently implemented;3Ferguson NM Laydon D Nedjati-Gilani G et al.Report 9 - impact of non-pharmaceutical interventions (NPIs) to reduce COVID-19 mortality and healthcare demand. MRC Centre for Global Infectious Disease Analysis, Imperial College, London2020: 1-20Google Scholar whether this level of reduction is being achieved remains unclear.
    1. Wharton professors George Day and Gregory Shea explain why investing in forward-thinking talent pools can help prepare businesses for uncertainties. They argue that the pandemic has exposed the need for more organizations to invest in new ways of thinking.
    1. arGUmEnT anD DEBaTE are cornerstones of civilized society and intellectual life. As online activity usurps many traditional forms of communication, we would hope to see these processes alive and well on the Web as well. But we do not. Too many mechanisms for online interaction hamper and discourage debate, facilitating poor-quality argument and fuzzy thinking. Needed are new tools, systems, and standards engineered into the heart of the Web to encourage debate, facilitate good argument, and promote a new online critical literacy. This is the Argument Web vision, involving a Web platform combining linked argument data with software tools that make online debate intuitive for its participants, including mediators, students, academics, broadcasters, and bloggers.
    1. Online education is rapidly expanding in response to rising demand for higher and continuing education, but many online students struggle to achieve their educational goals. Several behavioral science interventions have shown promise in raising student persistence and completion rates in a handful of courses, but evidence of their effectiveness across diverse educational contexts is limited. In this study, we test a set of established interventions over 2.5 y, with one-quarter million students, from nearly every country, across 247 online courses offered by Harvard, the Massachusetts Institute of Technology, and Stanford. We hypothesized that the interventions would produce medium-to-large effects as in prior studies, but this is not supported by our results. Instead, using an iterative scientific process of cyclically preregistering new hypotheses in between waves of data collection, we identified individual, contextual, and temporal conditions under which the interventions benefit students. Self-regulation interventions raised student engagement in the first few weeks but not final completion rates. Value-relevance interventions raised completion rates in developing countries to close the global achievement gap, but only in courses with a global gap. We found minimal evidence that state-of-the-art machine learning methods can forecast the occurrence of a global gap or learn effective individualized intervention policies. Scaling behavioral science interventions across various online learning contexts can reduce their average effectiveness by an order-of-magnitude. However, iterative scientific investigations can uncover what works where for whom.
    1. The effective reproduction number, Rt, is a key time-varying prognostic for the growth rate of any infectious disease epidemic. Significant changes in Rt can forewarn about new transmissions within a population or predict the efficacy of interventions. Inferring Rt reliably and in real-time from observed time-series of infected (demographic) data is an important problem in population dynamics. The renewal or branching process model is a popular solution that has been applied to Ebola and Zika virus disease outbreaks, among others, and is currently being used to investigate the ongoing COVID-19 pandemic. This model estimates Rt using a heuristically chosen piecewise function. While this facilitates real-time detection of statistically significant Rt changes, inference is highly sensitive to the function choice. Improperly chosen piecewise models might ignore meaningful changes or over-interpret noise-induced ones, yet produce visually reasonable estimates. No principled piecewise selection scheme exists. We develop a practical yet rigorous scheme using the accumulated prediction error (APE) metric from information theory, which deems the model capable of describing the observed data using the fewest bits as most justified. We derive exact posterior prediction distributions for infected population size and integrate these within an APE framework to obtain an exact and reliable method for identifying the piecewise function best supported by available epidemic data. We find that this choice optimises short-term prediction accuracy and can rapidly detect salient fluctuations in Rt, and hence the infected population growth rate, in real-time over the course of an unfolding epidemic. Moreover, we emphasise the need for formal selection by exposing how common heuristic choices, which seem sensible, can be misleading. Our APE-based method is easily computed and broadly applicable to statistically similar models found in phylogenetics and macroevolution, for example. Our results explore the relationships among estimate precision, forecast reliability and model complexity.
    1. Coronavirus first spread in the United States as a mostly coastal and big-city scourge, sparing many rural areas, small towns and even small cities. Translated into U.S. political geography: The virus hit Democratic areas first.
    1. Education and health and wellbeing are intrinsically linked. The evidence behind the importance of education as a determinant of health is amongst the most compelling.
    1. Stroke, delirium, anxiety, confusion, fatigue - the list goes on. If you think Covid-19 is just a respiratory disease, think again.
    1. The COVID-19 pandemic has understandably dominated public discourse, crowding out other important issues such as climate change. Currently, if climate change enters the arena of public debate, it primarily does so in direct relation to the pandemic. In two experiments, we investigated (1) whether portraying the response to the COVID-19 threat as a “trial run” for future climate action would increase climate-change concern and mitigation support, and (2) whether portraying climate change as a concern that needs to take a “back seat” while focus lies on economic recovery would decrease climate-change concern and mitigation support. We found no support for the effectiveness of a trial-run frame in either experiment. In Experiment 1, we found that a back-seat frame reduced participants’ support for mitigative action. In Experiment 2, the back-seat framing reduced both climate-change concern and mitigation support; a combined inoculation and refutation was able to offset the drop in climate concern but not the reduction in mitigation support.
    1. There are thousands of stories like this in and around Tulsa. A few years ago a report from the Eviction Lab at Princeton University found that city had the 11th-highest eviction rate in the country. Nearly 8% of households face an eviction each year. “We knew it was bad,” said Jeff Jaynes, executive director of Restore Hope Ministries, a nonprofit rental assistance agency. “We didn’t know it was 11th-in-the-country bad.” And that was before the pandemic. While the CARES Act imposed a temporary moratorium on evictions of residents living in federally subsidized apartments or properties with federally backed mortgages, that hasn’t stopped other evictions from piling up. The Tulsa County courthouse reopened for hearings on June 1 with more than 1,200 cases pending. Tenant advocates are calling for a statewide moratorium on evictions.
    1. As eviction hearings resume, the Ohio city has turned its empty convention hall into a one-stop shop for tenants in trouble. There are plenty to go around. 
    1. And now, with the unemployment rate five times greater than pre-pandemic levels and no eviction moratorium in place, he is expecting a renewed surge in evictions — a surge that could overwhelm the court system.The Charleston County Magistrate courts received 120 new eviction filings, according to public records, in the first two days after the moratorium expired.
    1. Kermack–McKendrick theory is a hypothesis that predicts the number and distribution of cases of an infectious disease as it is transmitted through a population over time. Building on the research of Ronald Ross and Hilda Hudson, A. G. McKendrick and W. O. Kermack published their theory in a set of three articles from 1927, 1932, and 1933. While Kermack–McKendrick theory was indeed the source of SIR models and their relatives, Kermack and McKendrick were thinking of a more subtle and empirically useful problem than the simple compartmental models discussed here. The text is somewhat difficult to read, compared to modern papers, but the important feature is it was a model where the age-of-infection affected the transmission and removal rates.
    1. SARS-CoV-2 causing COVID-19 disease has moved rapidly around the globe, infecting millions and killing hundreds of thousands. The basic reproduction number, which has been widely used and misused to characterize the transmissibility of the virus, hides the fact that transmission is stochastic, is dominated by a small number of individuals, and is driven by super-spreading events (SSEs). The distinct transmission features, such as high stochasticity under low prevalence, and the central role played by SSEs on transmission dynamics, should not be overlooked. Many explosive SSEs have occurred in indoor settings stoking the pandemic and shaping its spread, such as long-term care facilities, prisons, meat-packing plants, fish factories, cruise ships, family gatherings, parties and night clubs. These SSEs demonstrate the urgent need to understand routes of transmission, while posing an opportunity that outbreak can be effectively contained with targeted interventions to eliminate SSEs. Here, we describe the potential types of SSEs, how they influence transmission, and give recommendations for control of SARS-CoV-2.
    1. Simple Writing pros & cons in Argdown is as simple as writing a Twitter message. You don't have to learn anything new, except a few simple rules that will feel very natural. Expressive With these simple rules you will be able to define more complex relations between arguments or dive into the details of their logical premise-conclusion structures. Powerful Your document is transformed into an argument map while you are typing. You can export your analysis as HTML, SVG, PDF, PNG or JSON. If that is not enough, you can easily extend Argdown with your own plugin.
    1. Personal data is not discrete in socially-networked digital environments. A single user who consents to allow access to their own profile can thereby expose the personal data of their network connections to non-consented access. The traditional (informed individual) consent model is therefore not appropriate in online social networks where informed consent may not be possible for all users affected by data processing and where information is shared and distributed across many nodes. Here, we introduce a model of "distributed consent" where individuals and groups can coordinate by giving consent conditional on that of their network connections. We model the impact of distributed consent on the observability of social networks and find that relatively low adoption of even the simplest formulation of distributed consent would allow macroscopic subsets of online networks to preserve their connectivity and privacy. Distributed consent is of course not a silver bullet, since it does not follow data as it flows in and out of the system, but it is one of the most straightforward non-traditional models to implement and it better accommodates the fuzzy, distributed nature of online data.
    1. We examined the evidence for heterogeneity (of effect sizes) when only minor changes to sample population and settings were made between studies and explored the association between heterogeneity and average effect size in a sample of 68 meta-analyses from thirteen pre-registered multi-lab direct replication projects in social and cognitive psychology. Amongst the many examined effects, examples include the Stroop effect, the “verbal overshadowing” effect, and various priming effects such as “anchoring” effects. We found limited heterogeneity; 48/68 (71%) meta-analyses had non-significant heterogeneity, and most (49/68; 72%) were most likely to have zero to small heterogeneity. Power to detect small heterogeneity (as defined by Higgins, 2003) was low for all projects (mean 43%), but good to excellent for medium and large heterogeneity. Our findings thus show little evidence of widespread heterogeneity in direct replication studies in social and cognitive psychology, suggesting that minor changes in sample population and settings are unlikely to affect research outcomes in these fields of psychology. We also found strong correlations between observed average effect sizes (standardized mean differences and log odds ratios) and heterogeneity in our sample. Our results suggest that heterogeneity and moderation of effects is unlikely for a zero average true effect size, but increasingly likely for larger average true effect size.
    1. Meta-analysis combines pertinent information from existing studies to provide an overall estimate of population parameters/effect sizes, as well as quantify and explain the differences between studies. However, testing the between-study heterogeneity is one of the most troublesome topics in meta-analysis research. The existing methods, such as the Q test and likelihood ratio (LR) tests, are criticized for their failure to control the Type I error rate and/or failure to attain enough statistical power. Although better reference distribution approximations have been proposed in the literature, the expression is complicated and the application is limited. We propose a bootstrap based heterogeneity test combining the restricted maximum likelihood (REML) ratio test or Q test with bootstrap procedures, denoted as B-REML-LRT and B-Q respectively. Simulation studies were conducted to examine and compare the performance of the proposed methods with the regular LR tests, the regular Q test, and the improved Q test in both the random-effects meta-analysis and mixed-effects meta-analysis. Based on both Type I error rates and statistical power, B-REML-LRT is recommended when effect sizes are standardized mean differences and Fisher-transformed Pearson's correlations. When effect sizes are natural-logarithm-transformed odds ratios, B-REML-LRT (study-level sample sizes cannot be small) and B-Q are recommended. The improved Q test is recommended when it is applicable. An R package boot.heterogeneity is provided to facilitate the implementation of the proposed method.
    1. Recent events have raised concern about potential threats to democracy within Western countries. If Western citizens who are open to authoritarian governance share a common set of political preferences, then authoritarian elites can attract mass coalitions that are willing to subvert democracy to achieve shared ideological goals. With this in mind we explored which ideological groups are most open to authoritarian governance within Western general publics using World Values Survey data from fourteen Western democracies and three recent Latin American Public Opinion Project samples from Canada and the United States. Two key findings emerged. First, cultural conservatism was consistently associated with openness to authoritarian governance. Second, within half of the democracies studied, including all of the English-speaking ones, Western citizens holding a protection-based attitude package — combining cultural conservatism with left economic attitudes — were the most open to authoritarian governance. Within other countries, protection-based and consistently right-wing attitude packages were associated with similarly high levels of openness to authoritarian governance. We discuss implications for radical right populism and the possibility of splitting potentially undemocratic mass coalitions along economic lines.
    1. Both in philosophy and in cognitive psychology, models of moral judgment predict that individuals take into account both agents’ intentions and actions’ outcomes. The present research focused on a third crucial piece of information, agents’ negligence. In Study 1, participants judged the moral wrongness and punishability of agents’ unintended actions that resulted in negative side effects. Whether the agent acted with or without due care and whether she had or did not have information to foresee the negative side effects of her action were manipulated orthogonally in the scenarios. We found that careless agents were condemned more than careful agents, especially when negative side effects could have been prevented. In Study 2, we manipulated due care in acting in non-paradigmatic cases where the agents’ primary intention was to bring about the outcome although not knowing that such outcome was actually negative for others. Here participants judged actions performed with care more wrong and punishable than actions performed without caring, suggesting that the absence of negligence was taken as evidence of the presence of a negative intention in the agents. Together, these findings highlight the need to improve existing processing models of moral judgment to account for people’s evaluation of agents’ intentions and actions’ outcomes in all those cases in which negligence can be attributed.
    1. The current COVID-19 pandemic has changed many people’s lives. Some people have responded to the rising of the pandemic by engaging in panic buying behaviors, a phenomenon that has not been well-understood in the past. People who believe in these conspiracies may experience a heightened sense of powerlessness and vulnerability. As a result, they may be particularly susceptible to palliatively and compensatorily engage in the panic buying behaviors (i.e., stockpiling). Supporting this idea, two studies using data from the U.K. (cross-sectional) and the U.S. (longitudinal) show that people who endorse COVID-19 conspiracy theories are more likely to engage in stockpiling behaviors in the past as well as in the future.
    1. Simple advice, is of course, easy to follow--- or, at least, at least it is usually easy to know whether we, or other people, are following it successfully or not.But as countries across the world, and particularly those who are coming out of the hard lockdown, make their advice more complex and nuanced, and potentially applying differently across age groups, health conditions, professions, and parts of the country. Government advice is getting substantially more complex.This raises several important issues and probably more:
    1. "More and more businesses that definitely don't want to close again need to understand that they are our biggest enforcement army right now."
    1. Studies aimed at characterizing the evolution of COVID-19 disease often rely on case-based surveillance data publicly released by health authorities, that can be incomplete and prone to errors. Here, we quantify the biases caused by the use of inaccurate data in the estimation of the Time-Varying Reproduction Number R(t). By focusing on Italy and Spain, two of the hardest-hit countries in Europe and worldwide, we show that if the symptoms' onset time-series is inferred from the notification date series, the R(t) curve cannot capture nor describe accurately the early dynamics of the epidemic. Furthermore, the effectiveness of the containment measures that were implemented, such as national lockdowns, can be properly evaluated only when R(t) is estimated using the real time-series of dates of symptoms' onset. Our findings show that extreme care should be taken when a pivotal quantity like R(t) is used to make decisions and to evaluate different alternatives.
    1. Scotland may be only weeks away from no new daily cases of coronavirus. As the nation gets close, cases from over the border will become a big problem
    1. Philosophers and scientists have long debated the nature of human social interactions and the prevalence of mutual dependence, conflict of interests, and power asymmetry in social situations. Yet, there is surprisingly little empirical work documenting the patterns of interdependence that people experience in daily life. We use experience sampling to study how people think about three dimensions of interdependence in daily life and how these dimensions relate to cooperation. In Study 1, 139 romantic couples (n = 278) reported on situations experienced with their partner (k = 6,766); in Study 2, individuals (n = 284) reported on situations experienced with any other person (k = 7,248), over the course of one week. Across both samples, we found that most social interactions were perceived as containing moderate mutual dependence, equal power, and corresponding interests. When couples reported on the same situation (Study 1), they largely agreed on their experienced interdependence and cooperation, suggesting that their reports reflect an underlying shared reality. In daily interactions across both samples, higher mutual dependence and lower conflict of interests were associated with more cooperation, whereas relative power was not directly related to cooperation. These associations replicated in laboratory experiments (Study 2). In daily life, high mutual dependence and high relative power exacerbated the negative relation between conflict of interests and cooperation. Finally, prevalent patterns of interdependence and the experience of specific interdependent situations affected multiple relationship outcomes. Our findings stress the importance of studying a diverse array of interdependent situations—and especially situations with corresponding interests—to better understand cooperation in daily life
    1. Across the globe, 2020 terms began under conditions incited by the corona pandemic. Within a relatively short amount of time, universities started to develop and implement online courses for distance learning. These changes in learning and teaching may well have been a challenge for students.The current study is about an online survey at a German full-scale university investigating the unique circumstances under which students began the digital 2020 summer term. Of approximately 38,500 students, N = 5,563 students from across all institutional faculties took part in the survey. Results indicate how well students are equipped with devices for digital learning; what kind of experiences they have already made with online learning; and how competent they reported feeling regarding digital learning. Moreover, group differences between faculties, degrees, and gender were investigated. The study provides important insights into digital higher education during the exceptional pandemic situation. The results are intended to feed into student counselling systems via support by way of access to devices or courses regarding digital key competences, or through counselling for students with special social burdens.
    1. Intro: When confronted with major threats such as the COVID-19 pandemic, people often experience (temporary) decline in well-being. The central purpose of this study was to identify mechanisms underlying stability and change of well-being in times of threat like the COVID-19 pandemic. We examined change in mental health symptoms and its relationships with appraisals of the pandemic and daily life experiences during the pandemic, including affective states, stress, and mindfulness. Methods: We conducted a study across 3.5 weeks, including pretest, posttest, and a diary phase in-between. In this report, we worked with a sample of 460 adults, pre- and post-test information, as well as a total of 7189 observations from the diary phase. Results: Results showed that less fortunate change in mental health symptoms across three weeks was predicted by more negative affect and less mindfulness, specifically less attention to the present moment, in daily life. Furthermore, less fortunate change in mental health symptoms was correlated with change towards less fortunate appraisals of the appraisals. Finally, we showed that more general views of the pandemic (i.e., appraisals) were interrelated to experiences in daily life, with more negative appraisals of the pandemic predicting more negative affect and stressor occurrence as well as less mindfulness. Discussion: These findings speak to the dynamic nature of well-being and appraisals in times of threat, and they show how experiences in daily life matter for change in well-being
    1. Preventive behaviors are crucial in limiting the spread of COVID-19. Given the multifaceted nature of this pandemic, we adopted a complex psychological systems approach to obtain insight into the interplay and mutual dependence of factors related to adopting these behaviors, including attitudes, social norms, trust and health. We therefore conducted a survey study (n=1022) with subsamples from the United Kingdom (n=502) and Netherlands (n=520). The results highlight the importance of people’s support for, and perceived efficacy of, the measures and preventive behaviors, and of the perceived norm of their family and friends adopting these behaviors. The relation of these factors with other factors in the network is also highlighted. Future research should study effects of interventions aimed at these factors, including effects on the network. Finally, while the networks in both countries were largely similar, we observed notable differences that are possibly reflections of the different trajectories of this pandemic.
    1. The COVID-19 pandemic has had a profound impact on individuals, families, and communities around the world. Intensive health precautions have created constraints on mobility, work, education, family life, and interpersonal relationships. Preliminary survey studies have reported an increase in the prevalence and severity of psychosocial impairments in the pandemic’s immediate wake. However, the impact of specific pandemic-related experiences and patterns of experiences has not been systematically assessed and studied. The goal of the present study was to develop and conduct a preliminary empirical test of a novel, comprehensive assessment of pandemic-related experiences, the Epidemic-Pandemic Impacts Inventory (EPII), using person-centered latent class analysis (LCA). Aims were to (1) test the hypothesis that LCA would identify unique subgroups based on patterns of negative and positive pandemic-related experiences across personal and social domains, and (2) examine whether identified subgroups would significantly differ on sociodemographic characteristics and indicators of mental health and functioning. Results supported hypotheses, with several unique subgroups identified across domains that were differentiated on sociodemographic characteristics and measures of perceived stress, depression, anxiety, PTSD, and perceived social support. Findings support the EPII as an instrument for measuring tangible and meaningful experiences in the context of an unprecedented pandemic disaster. This study, combined with future research with the EPII, may serve to inform public health strategies for supporting families and communities in the current pandemic and under similar mass public health crisis circumstances in the future.
    1. State boredom presents a conundrum: When bored, we want to engage with something, but we don’t want whatever is currently available. This is exacerbated when external factors impose restrictions on what we can engage in, which is precisely the scenario we are currently facing during the COVID-19 pandemic. We surveyed 924 participants to examine the relation between boredom proneness and responses to social isolation. We provide novel evidence that highly boredom prone people have been more likely to break the rules of social isolation (e.g., fewer hours spent in social isolation, poor adherence to social distancing as evidenced by the increased likelihood of holding a social gathering and coming into proximity with more people than recommended). We further demonstrated that boredom proneness substantially mediates the association between self-control and rule-breaking. These results indicate that boredom proneness is a critical factor to consider when encouraging adherence to social isolation.
    1. Investigating and classifying sentiments of social media users (e.g., positive, negative) towards an item, situation, and system are very popular among the researchers. However, they rarely discuss the underlying socioeconomic factor associations for such sentiments. This study attempts to explore the factors associated with positive and negative sentiments of the people about reopening the economy, in the United States (US) amidst the COVID-19 global crisis. It takes into consideration the situational uncertainties (i.e., changes in work and travel pattern due to lockdown policies), economic downturn and associated trauma, and emotional factors such as depression. To understand the sentiment of the people about the reopening economy, Twitter data was collected, representing the 51 states including Washington DC of the US. State-wide socioeconomic characteristics of the people (e.g., education, income, family size, and employment status), built environment data (e.g., population density), and the number of COVID-19 related cases were collected and integrated with Twitter data to perform the analysis. A binary logit model was used to identify the factors that influence people toward a positive or negative sentiment. The results from the logit model demonstrate that family households, people with low education levels, people in the labor force, low-income people, and people with higher house rent are more interested in reopening the economy. In contrast, households with a high number of members and high income are less interested to reopen the economy. The accuracy of the model is good (i.e., the model can correctly classify 56.18\% of the sentiments). The Pearson chi2 test indicates that overall this model has high goodness-of-fit. This study provides a clear indication to the policymakers where to allocate resources and what policy options they can undertake to improve the socioeconomic situations of the people and mitigate the impacts of pandemics in the current situation and as well as in the future.
    1. As individuals adjust to new ‘norms’ and ways of living during the COVID-19 lockdown, there is a continuing need for up-to-date information and guidance. This has elevated the importance of media channels, such as social media and traditional media. Evidence suggests that frequent media exposure is related to a higher prevalence of mental health problems, especially anxiety and depression. The aim of this study is to determine whether COVID-19 related media consumption is associated with changes in mental health outcomes. This paper presents baseline data from the COVID-19 Psychological Wellbeing Study. The results showed a statistically significant correlation between COVID-19 media exposure and increases in anxiety (GAD-7) and depression (PHQ-9). The study suggested that media usage is statistically significantly associated with anxiety and depression on the GAD-7 and PHQ-9 scales with excessive media exposure related to higher anxiety and depression scores.
    1. People possess psychological processes that help them avoid pathogens, which is particularly important when novel infectious diseases (e.g., COVID-19) spread through the population. Across two studies we examined whether trait pathogen avoidance (operationalized as perceived vulnerability to disease; PVD) was linked with responses to COVID-19 and preventative behaviors. In Study 1, PVD was positively associated with stronger reactions to the threat of COVID-19, including increased anxiety, perceptions that people should alter their typical behavior, as well as reported importance of engaging in proactive and social distancing behaviors. In Study 2, PVD was again associated with increased anxiety, as well as more vigilant behavior when grocery shopping, fewer trips to the store, and fewer face-to-face interactions. These associations remained significant when controlling for the Big-5 personality traits. Although the two subscales of PVD (germ aversion and perceived infectability) were often parallel predictors, several differences between the subscales emerged. Germ aversion may be more associated with behaviors whereas perceived infectability with vigilance.
    1. In this essay, I argue that the World Health Organization (WHO) has not been equipped with the necessary authority to adequately fulfill its mission. The WHO was built on the mistaken assumption that attaining adequate global health is a matter of high-level coordination. However, the challenge of global health governance is, crucially, also one of complex political cooperation. I distinguish between different types of cooperation problems faced by the WHO and explain why achieving global health calls for intrusive powers by a governing authority—powers that the WHO does not enjoy.
    1. Locating the source of an epidemic, or patient zero (P0), can provide critical insights into the infection's transmission course and allow efficient resource allocation. Existing methods use graph-theoretic centrality measures and expensive message-passing algorithms, requiring knowledge of the underlying dynamics and its parameters. In this paper, we revisit this problem using graph neural networks (GNNs) to learn P0. We establish a theoretical limit for the identification of P0 in a class of epidemic models. We evaluate our method against different epidemic models on both synthetic and a real-world contact network considering a disease with history and characteristics of COVID-19. % We observe that GNNs can identify P0 close to the theoretical bound on accuracy, without explicit input of dynamics or its parameters. In addition, GNN is over 100 times faster than classic methods for inference on arbitrary graph topologies. Our theoretical bound also shows that the epidemic is like a ticking clock, emphasizing the importance of early contact-tracing. We find a maximum time after which accurate recovery of the source becomes impossible, regardless of the algorithm used.
    1. The COVID-19 pandemic is an unprecedented challenge to societies around the world, requiring rapid responses from educational, government and business institutions. Just as important, it has presented critical challenges to all of us, requiring each of us to understand and respond to this threat as it plays out in our daily lives. We invite manuscripts describing empirical research that investigates psychological responses to the COVID-19 pandemic. Topics of interest for the special issue include risk perception, risk communication, and decision making.
    1. On the 21st of February 2020 a resident of the municipality of Vo’, a small town near Padua, died of pneumonia due to SARS-CoV-2 infection1. This was the first COVID-19 death detected in Italy since the emergence of SARS-CoV-2 in the Chinese city of Wuhan, Hubei province2. In response, the regional authorities imposed the lockdown of the whole municipality for 14 days3. We collected information on the demography, clinical presentation, hospitalization, contact network and presence of SARS-CoV-2 infection in nasopharyngeal swabs for 85.9% and 71.5% of the population of Vo’ at two consecutive time points. On the first survey, which was conducted around the time the town lockdown started, we found a prevalence of infection of 2.6% (95% confidence interval (CI) 2.1-3.3%). On the second survey, which was conducted at the end of the lockdown, we found a prevalence of 1.2% (95% Confidence Interval (CI) 0.8-1.8%). Notably, 42.5% (95% CI 31.5-54.6%) of the confirmed SARS-CoV-2 infections detected across the two surveys were asymptomatic (i.e. did not have symptoms at the time of swab testing and did not develop symptoms afterwards). The mean serial interval was 7.2 days (95% CI 5.9-9.6). We found no statistically significant difference in the viral load of symptomatic versus asymptomatic infections (p-values 0.62 and 0.74 for E and RdRp genes, respectively, Exact Wilcoxon-Mann-Whitney test). This study sheds new light on the frequency of asymptomatic SARS-CoV-2 infection, their infectivity (as measured by the viral load) and provides new insights into its transmission dynamics and the efficacy of the implemented control measures.
    1. In various types of structured communities newcomers choose their interaction partners by selecting a role-model and copying their social networks. Participants in these networks may be cooperators who contribute to the prosperity of the community, or cheaters who do not and simply exploit the cooperators. For newcomers it is beneficial to interact with cooperators but detrimental to interact with cheaters. However, cheaters and cooperators usually cannot be identified unambiguously and newcomers’ decisions are often based on a combination of private and public information. We use evolutionary game theory and dynamical networks to demonstrate how the specificity and sensitivity of those decisions can dramatically affect the resilience of cooperation in the community. We show that promiscuous decisions (high sensitivity, low specificity) are advantageous for cooperation when the strength of competition is weak; however, if competition is strong then the best decisions for cooperation are risk-adverse (low sensitivity, high specificity). Opportune decisions based on private and public information can still support cooperation but suffer of the presence of information cascades that damage cooperation, especially in the case of strong competition. Our research sheds light on the way the interplay of specificity and sensitivity in individual decision-making affects the resilience of cooperation in dynamical structured communities.
    1. This paper gives an introduction to rule-based modelling applied to topics in infectious diseases. Rule-based models generalise reaction-based models with reagents that have internal state and may be bound together to form complexes, as in chemistry. Rule-based modelling is directly transferable from molecular biology to epidemiology and allows us to express a broad class of models for processes of interest in epidemiology that would not otherwise be feasible in compartmental models. This includes dynamics commonly found in compartmental models such as the spread of a virus from an infectious to a susceptible population, and more complex dynamics outside the typical scope of such models such as social behaviours and decision-making, testing capacity constraints, and tracing of people exposed to a virus but not yet symptomatic. We propose that such dynamics are well-captured with rule-based models, and that doing so combines intuitiveness and transparency of representation with scalability and compositionality. We demonstrate this feasibility of our approach using a suite of seven models to describe a spread of infectious diseases under different scenarios: wearing masks, infection via fomites and prevention by hand-washing, the concept of vector-borne diseases, testing and contact tracing interventions, disease propagation within motif-structured populations with shared environments such as schools, and superspreading events. The machine-readable description of these models corresponds closely to the mathematical description and also functions as a human-readable format so that one knows readily ``what is in the model''.
    1. With researchers, journals, politicians, journalists and social media influencers all capable of espousing misleading or unverified scientific findings, it pays to be able to recognise the telltale signs of a study that might be poor. Here are seven potential warning flags
    1. Iowa Gov. Kim Reynolds says her signature on a COVID-19 immunity bill for businesses and health care facilities that fail to protect their staff and customers or patients represents a “balance.” Reynolds discussed the legislation Thursday in response to questions from reporters about the story first reported by Iowa Capital Dispatch about resident deaths at a Dubuque nursing home. State inspectors allege the facility kept three staff members working who had symptoms of the coronavirus. The staff members later tested positive. Inspectors said they observed staff members on the job without facemasks or other personal protective equipment. At a home that now has a total of just 48 residents, 43 have been infected with COVID-19. Eleven residents have died. How do you “balance” the lives of 11 Iowans with a corporation’s interest in not getting sued?
  2. Jun 2020
    1. The COVID-19 pandemic is set to result in the worst recession since the Great Depression in 1920s. Revisions to the IMF's April forecast now predict global output to fall 4.9% this year. The strength of the recovery is uncertain.
    1. Popular project-management tools for research teams include Trello and Jira, both from the company Atlassian in Sydney, Australia, as well as Asana and GitHub project boards, both in San Francisco, California. These tools are more than simple to-do lists. They help teams to see the broad view of a project, allowing users to create and complete tasks, meet deadlines, capture detail-rich notes and provide templates for common protocols. The tagging functions of these tools allow managers to assign tasks to team members. If used well, they can make teams more efficient and minimize frustrations such as forgotten tasks and duplicated work.In short, project-management tools and the managers who use them “connect the details with the high-level goals”, says Tracy Teal. As the executive director of Dryad, a non-profit repository for open data in Durham, North Carolina, she uses several such tools.
    1. Interdisciplinary research has been considered as a solution to today's complex societal challenges. While its relationship with scientific impact has been extensively studied, the technological impact of interdisciplinary research remains unexplored. Here, we examine how interdisciplinarity is associated with technological impact at the paper level. We measure the degree of interdisciplinarity of a paper using three popular indicators, namely variety, balance, and disparity, and track how it gets cited by patented technologies over time. Drawing on a large sample of biomedical papers published in 18 years, we find that papers that cites more fields (variety) and whose distributions over those cited fields are more even (balance) are more likely to receive patent citations, but both effects can be offset if papers draw upon more distant fields (disparity). Those associations are consistent across different citation-window lengths. Additional analysis that focuses on the subset of papers with at least one patent citation reveals that the intensity of their technological impact, as measured as the number of patent citations, increases with balance and disparity. Our work may have policy implications for interdisciplinary research and scientific and technology impact.
    1. Background: Public health measures to curb SARS-CoV-2 transmission rates may have negative psychosocial consequences in youth. Digital interventions may help to mitigate these effects. We aimed to investigate the associations between social isolation, COVID-19-related worries/anxieties, objective social risk indicators, psychological distress and use of digital mobile health (mHealth) interventions in youth during the COVID-19 pandemic. Methods: Data were collected as part of the “Health And Innovation During COVID-19 Survey” —a cross-sectional panel study including a representative sample of individuals aged 16 to 25 years (N=666; Mage 21·3) (assessment period: 07.05.-16.05.2020). Data were collected on social isolation, COVID-19-related worries/anxieties, objective social risk indicators, psychological distress as well as the current use of and attitude towards digital interventions. Outcomes: Social isolation, lack of company, worrying, and objective social risk indicators were associated with psychological distress during the COVID-19 pandemic. Dose-response relationships were found. For instance, psychological distress was progressively more likely to occur as levels of reported social isolation increased (very rarely: adjusted odds ratio [aOR] 2·4,CI 1·0 – 5·7, p=0·041; rarely: aOR 3·6, CI 1·7 – 7·7, p=0·001; occasionally: aOR 8·4, CI 4·0 – 17·5, p<0·001; often: aOR 20·6, CI 9·3 – 45·7, p<0·001; very often: aOR 43·4, CI 14·7 – 128·2, p<0·001). There was evidence that psychological distress, and high levels of social isolation, lack of company, and worrying were associated with a positive attitude towards using digital interventions, whereas only severe levels of psychological distress and worries were associated with actual use (aOR 2·0, CI 1·3 - 3·0, p=0·001; aOR 1·6, CI 1·1 – 2·2, p=0·005, respectively). Interpretation: Public health measures during pandemics may be associated with social isolation and poor mental health outcomes in youth. Digital interventions may help mitigate the negative psychosocial impact without risk for viral infection given there is an objective need and subjective demand.
    1. Background. Previous studies carried out in different countries indicated that young adults experience higher levels of depressive and anxiety symptoms than older age groups during the COVID-19 pandemic. However, little is known about which epidemic-related difficulties and factors may contribute to these forms of emotional distress in various age groups. Purpose. The aim of the current study was to investigate: (i) differences in levels of depressive and generalized anxiety symptoms, as well as perceived difficulties related to pandemic across four age groups in the Polish population; (ii) which factors and difficulties related to pandemic are predictors of generalized anxiety and depressive symptoms in various age groups during the COVID-19 lockdown. Method. A total of 1115 participants (aged 18-85) took part in the study. The group was a representative sample of the Polish population in terms of sex, age, and place of residence. Participants completed online: The Patient Health Questionnaire-9, The Generalized Anxiety Disorder-7, Scale of Perceived Health and Life Risk of COVID-19, Social Support Sale, Scale of Epidemic-Related Difficulties. Results. Younger age groups (18-29 and 30-44) experienced higher levels of depressive and generalized anxiety symptoms than older adults (45-59 and 60-85 years). Difficulties in relationships and at home were amongst the strongest predictors of depressive and generalized anxiety symptoms in all age groups. Fear and uncertainty related to the spread of the virus were one of the most important predictors of emotional distress in all the groups apart from the adults between 18-29 years, whereas difficulties related to external restrictions were one of the most significant predictors of depressive and anxiety symptoms only in the youngest group. Conclusions. Our results indicate that the youngest adults and those experiencing difficulties in relationships among household members were the most vulnerable to depressive and generalized anxiety symptoms during the COVID-19 lockdown. Thus, it is important to plan preventive and therapeutic interventions to support these at-risk individuals in dealing with the challenges related to the COVID-19 pandemic.
    1. A brief follow on report (from Report 1, see https://psyarxiv.com/uq4rn/). This report presents data on parents and their children's well being as a result of the COVID-19 pandemic from our adult survey study. In addition to presenting additional data showing a potentially significant increase in anxiety and depression in young people aged 13-24, as a consequence of COVID-19. Data collection for our Adult Study (Wave 2) took place between 22nd April and was ended on Friday, May 1st, here we report headline figures for the impact of Covid-19 on parents and their children. We have described our methods in a separate report (https://psyarxiv.com/wxe2n) and released two reports on our mental health outcomes from wave 1 (https://psyarxiv.com/hb6nq, https://psyarxiv.com/ydvc7).