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  1. Jan 2022
    1. With the Omicron variant spreading rapidly, the country is averaging more than 500,000 new cases a day, far more than at any previous point in the pandemic. Omicron appears to cause less severe illness than prior forms of the virus, but has contributed to upticks in hospitalizations.
    1. Two new studies, published by the Centers for Disease Control and Prevention (CDC), are offering robust evidence of universal mask-wearing practices in schools reducing rates of COVID-19 outbreaks. The research conducted across July and August delivers insights into how the Delta variant can spread in children.
    1. The armed forces are being deployed to help hospitals in London deal with a surge in Covid patients because the Omicron variant is leaving so many staff sick and unable to work.
    1. Queenslanders will be required to start wearing masks indoors from Sunday as the state recorded 2,266 new cases in just 12 hours, Deputy Premier Steven Miles said.
    1. Despite the resistance of Brazilian scientists, science in Brazil has been undermined by measures implemented by the federal government in the past 3 years, such as increasing budget cuts, attacks on the autonomy of universities, and a general policy of denial of science.
    1. The Editor-in-Chief has retracted this article. Following publication, concerns were raised regarding the methodology and the conclusions of this review article. Postpublication review confirmed that while the review article appropriately describes the mechanism of action of ivermectin, the cited sources do not appear to show that there is clear clinical evidence of the effect of ivermectin for the treatment of SARS-CoV-2. The Editor-in-Chief therefore no longer has confidence in the reliability of this review article. None of the authors agree to this retraction. The online version of this article contains the full text of the retracted article as Supplementary Information.
    1. Researchers at Yale School of Medicine have discovered that an RNA molecule that stimulates the body’s early antiviral defense system can protect mice from a range of emerging SARS-CoV-2 variants. The study, published today in the Journal of Experimental Medicine (JEM), could lead to new treatments for COVID-19 in immunocompromised patients, as well as providing an inexpensive therapeutic option for developing countries that currently lack access to vaccines.
    1. BackgroundData on pediatric coronavirus disease 2019 (COVID-19) has lagged behind adults throughout the pandemic. An understanding of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) viral dynamics in children would enable data-driven public health guidance.MethodsRespiratory swabs were collected from children with COVID-19. Viral load was quantified by reverse-transcription polymerase chain reaction (RT-PCR); viral culture was assessed by direct observation of cytopathic effects and semiquantitative viral titers. Correlations with age, symptom duration, and disease severity were analyzed. SARS-CoV-2 whole genome sequences were compared with contemporaneous sequences.ResultsOne hundred ten children with COVID-19 (median age, 10 years [range, 2 weeks–21 years]) were included in this study. Age did not impact SARS-CoV-2 viral load. Children were most infectious within the first 5 days of illness, and severe disease did not correlate with increased viral loads. Pediatric SARS-CoV-2 sequences were representative of those in the community and novel variants were identified.ConclusionsSymptomatic and asymptomatic children can carry high quantities of live, replicating SARS-CoV-2, creating a potential reservoir for transmission and evolution of genetic variants. As guidance around social distancing and masking evolves following vaccine uptake in older populations, a clear understanding of SARS-CoV-2 infection dynamics in children is critical for rational development of public health policies and vaccination strategies to mitigate the impact of COVID-19.
    1. Substance use disorders (SUDs) are heterogenous and complex, making the development of translationally predictive rodent and non-human primate models to uncover their neurobehavioral underpinnings difficult. Neuroscience-focused outcomes have become highly prevalent, and with this, the notion that SUDs are disorders of the brain embraced as a dominant theoretical orientation to understand SUD etiology and treatment. These efforts, however, have led to few efficacious pharmacotherapies, and in some cases (as with cocaine or methamphetamine), no pharmacotherapies have translated from preclinical models for clinical use. In this review and theoretical commentary, we first describe the development of animal models of SUDs from a historical perspective. We then define and discuss three logical fallacies including 1) circular explanation, 2) affirming the consequent, and 3) reification that can apply to developed models. We then provide three case examples in which conceptual or logical issues exist in common methods (i.e., behavioral economic demand, escalation, and reinstatement). Alternative strategies to refocus behavioral models are suggested for the field in an attempt to better bridge the translational divide between animal models and the clinical condition of SUDs.
    1. Political scientists and sociologists have highlighted insecure work as a societal ill underlying individuals’ lack of social solidarity (i.e., concern about the welfare of disadvantaged others) and political disruption. In order to provide the psychological underpinnings connecting perceptions of job insecurity with societally-relevant attitudes and behaviors, we introduce the idea of perceived national job insecurity. Perceived national job insecurity reflects a person’s perception that job insecurity is more or less prevalent in his/her society (i.e., country). Across three countries (US, UK, Belgium), we find that higher perceptions of the prevalence of job insecurity in one’s country is associated with greater perceptions of government psychological contract breach and poorer perceptions of the government’s handling of the COVID-19 crisis, but at the same time is associated with greater social solidarity and compliance with COVID-19 social regulations. These findings are independent of individuals’ perceptions of threats to their own jobs.
    1. CDC clarified their protocol on yesterday: https://cdc.gov/coronavirus/2019-ncov/your-health/quarantine-isolation.html… If you're asymptomatic, you can deisolate 5 days after the date of a positive test. Since we don't test daily, this is going to be >5 days after infectiousness for almost everyone. So far so good.
    1. What is the rationale for fourth vaccinations, and why are countries doing different things? Gareth Iacobucci investigates
    1. To understand how the pandemic is evolving, it’s crucial to know how death rates from COVID-19 are affected by vaccination status.
    1. There is strong evidence for brain-related pathologies in COVID-19, some of which could be a consequence of viral neurotropism, or of neuroinflammation following viral infection. Most brain imaging studies have focused on qualitative, gross pathology in moderate to severe cases, most typically carried out on hospitalised patients. It remains unknown however whether the impact of SARS-CoV-2 infection can be detected in milder cases, in a quantitative and automated manner, and whether this can reveal possible mechanisms for the spread of the disease. UK Biobank scanned over 40,000 participants before the start of the COVID-19 pandemic, making it possible in 2021 to invite back hundreds of previously-imaged participants for a second imaging visit. Here, we studied the possible brain changes associated with the coronavirus infection using multimodal MRI data from 785 adult participants (aged 51–81) from the UK Biobank COVID-19 re-imaging study, including 401 adult participants who tested positive for SARS-CoV-2 infection between their two scans. We used structural, diffusion and functional brain scans from before and after infection, to compare longitudinal changes between these 401 SARS-CoV-2 cases and 384 controls who had either tested negative to rapid antibody testing or had no COVID-19 medical and public health record, and who were matched to the cases for age, sex, ethnicity and interval between scans. The controls and cases did not differ in blood pressure, body mass index, diabetes diagnosis, smoking, alcohol consumption, or socio-economic status. Using both hypothesis-driven and exploratory approaches, with false discovery rate multiple comparison correction, we identified respectively 68 and 67 significant longitudinal effects associated with SARS-CoV-2 infection in the brain, including, on average: (i) a more pronounced reduction in grey matter thickness and contrast in the lateral orbitofrontal cortex (min P=1.7×10-4, r=-0.14) and parahippocampal gyrus (min P=2.7×10-4, r=-0.13), (ii) a relative increase of diffusion indices, a marker of tissue damage, in the regions of the brain functionally-connected to the piriform cortex, anterior olfactory nucleus and olfactory tubercle (min P=2.2×10-5, r=0.16), and (iii) greater reduction in global measures of brain size and increase in cerebrospinal fluid volume suggesting an additional diffuse atrophy in the infected participants (min P=4.0×10-6, r=-0.17). When looking over the entire cortical surface, these grey matter thickness results covered the parahippocampal gyrus and the lateral orbitofrontal cortex, and extended to the anterior insula and anterior cingulate cortex, supramarginal gyrus and temporal pole. The increase of a diffusion index (mean diffusivity) meanwhile could be seen voxel-wise mainly in the medial and lateral orbitofrontal cortex, the anterior insula, the anterior cingulate cortex and the amygdala. These results were not altered after excluding cases who had been hospitalised. We further compared hospitalised (n=15) and non-hospitalised (n=386) infected participants, resulting in similar findings to the larger cases vs control group comparison, with, in addition, a marked reduction of grey matter thickness in fronto-parietal and temporal regions (all FDR-significant, min P=4.0×10-6). The 401 SARS-CoV-2 infected participants also showed larger cognitive decline between the two timepoints in the Trail Making Test compared with the controls (both FDR-significant, min P=1.0×10-4, r=0.17; and still FDR-significant after excluding the hospitalised patients: min P=1.0×10-4, r=0.17), with the duration taken to complete the alphanumeric trail correlating post hoc with the cognitive and olfactory-related crus II of the cerebellum (FDR-significant, P=2.0×10-3, r=-0.19), which was also found significantly atrophic in the SARS-CoV-2 participants (FDR-significant, P=6.1×10-5, r=-0.14). Our findings thus relate to longitudinal abnormalities in limbic cortical areas with direct neuronal connectivity to the primary olfactory system. Unlike in post hoc cross-sectional studies, the availability of pre- infection imaging data mitigates to some extent the issue of pre-existing risk factors or clinical conditions being misinterpreted as disease effects. We were therefore able to demonstrate that the regions of the brain that showed longitudinal differences post-infection did not already show any difference between (future) cases and controls in their initial, pre-infection scans. These brain imaging results may be the in vivo hallmarks of a degenerative spread of the disease — or of the virus itself — via olfactory pathways (a possible entry point of the virus to the central nervous system being via the olfactory mucosa), or of neuroinflammatory events due to the infection, or of the loss of sensory input due to anosmia. Whether this deleterious impact can be partially reversed, for instance after improvement of the hyposmic symptoms, or whether these are effects that will persist in the long term, remains to be investigated with additional follow up.
    1. Trust is a key component of social interaction. Older adults, however, often exhibit excessive trust relative to younger adults. One explanation is that older adults may learn to trust differently than younger adults. Here, we examine how younger (N=33) and older adults (N=30) learn to trust over time. Participants completed a classic iterative trust game with three partners. Younger and older adults shared similar amounts but differed in how they shared money. Compared to younger adults, older adults invested more with untrustworthy partners and less with trustworthy partners. As a group, older adults displayed less learning than younger adults. However, computational modeling shows that this is because older adults are more likely to forget what they have learned over time. Model-based fMRI analyses revealed several age-related differences in neural processing. Younger adults showed prediction error signals in social processing areas while older adults showed over-recruitment of several cortical areas. Collectively, these findings suggest that older adults attend to and learn from social cues differently from younger adults.
    1. Misinformation often has a continuing influence on event-related reasoning even when it is clearly and credibly corrected; this is referred to as the continued influence effect. The present work investigated whether a correction’s effectiveness can be improved by explaining how the misinformation originated. Two experiments examined whether a correction that explained misinformation as originating from intentional deception, or an unintentional error were more effective than a correction that only identified the misinformation as false. Experiment 1 found that corrections which explained the misinformation as intentionally or unintentionally misleading were as effective as a correction that was not accompanied by an explanation for how the misinformation originated. We replicated this in Experiment 2 and found substantial attenuation of the continued influence effect in a novel scenario with the same underlying structure. Overall, the results suggest that informing people that the misinformation originated from a deliberate lie or accidental error may not be an effective correction strategy over and above stating that the misinformation is false.
    1. Science can improve life around the world, but public trust in science is at risk. Understanding presumed motives of scientists and science can inform the social psychological underpinnings of public trust in science. Across five independent datasets, perceiving the motives of science and scientists as prosocial promoted public trust in science. In Studies 1 and 2, perceptions that science was more prosocially oriented was associated with greater trust in science. Studies 3 and 4a-b employed experimental methods to establish that perceiving other-oriented motives, versus self-oriented motives, enhanced public trust in science. Respondents recommend greater funding allocations for science subdomains described as prosocially-oriented vs. power-oriented. Emphasizing the prosocial aspects of science can build stronger foundations of public trust in science.
    1. As information about COVID-19 safety behavior changed, people had to judge how likely others were to protect themselves through mask-wearing and vaccination seeking. In a large, campus-wide survey, we assessed whether University of Kansas students viewed others' protective behaviors as different from their own, how much students assumed others would share their beliefs and behaviors, and which individual differences were associated with those estimations. Participants in our survey (N = 1,704; 81.04% white, 64.08% female) evaluated how likely they and others were to wear masks on the University of Kansas campus, wear masks off-campus, and seek a vaccine. They also completed measures of political preference, numeracy, and preferences for risk in various contexts. We found that participants estimated that others would be less likely to engage in health safety behaviors than themselves, but that their estimations of others were widely shared. In addition, of all the individual differences we assessed, political preference displayed the most consistent associations across health behaviors. Not only was false uniqueness ubiquitous across different forms of COVID-19 safety behavior, it was indeed false - estimates of others' health behavior were lower than their actual rates. Understanding this relationship could allow for more accurate norm-setting and normalization of mask-wearing and vaccination.
    1. Intense physical activity leads to high levels of mental health during the Covid-19 pandemic in physically active persons compared to physically passive persons, both for those who are infected with Covid-19, and those who are not.
    1. NHS staff would be excused a feeling of déjà vu, as 2022 kicks off with hospitals being what Boris Johnson, the UK prime minister, is absolutely, definitively, really, really sure is not “overwhelmed.”Many might not agree given the number of NHS trusts declaring a critical incident, but the prime minister has a cunning plan to prevent the NHS being “overwhelmed.” The plan? You simply never define what an “overwhelmed” NHS is, and then it simply can’t happen. Clever, eh?Unfortunately for Johnson, reality has a chronic habit of intruding on his boosterish, feel good approach to the pandemic, and is in the process of doing exactly this once again.As Johnson told the media at the start of this week at a Downing Street press briefing, “I think we've got to recognise that the pressure on our NHS, on our hospitals, is going to be considerable in the course of the next couple of weeks, and maybe more. No matter how incredibly transmissible omicron is…it is different from previous variants. It does seem pretty conclusively to be less severe than delta or alpha, and it is putting fewer people into ICU.”This is currently true: fewer patients are being put into mechanical ventilation beds compared with January 2021, but omicron is still putting a lot more people into hospital than we’ve seen since last winter.1 The latest data saw a 50% rise in acute admissions between 20 December and 28 December.1 And this extra pressure on an NHS that is already crammed with now urgent cases from the growing NHS backlog is creating some quite predictable chaos.
    1. Supermarkets say they are experiencing delivery delays, not panic buyingUp to half of logistics companies' workers are off on any given dayThe truckers' union wants the federal government to provide rapid tests to road transport workers
    1. Background: The COVID-19 pandemic might affect mental health. Data from population-representative panel surveys with multiple waves including pre-COVID data investigating risk and protective factors are still rare. Methods: In a stratified random sample of the German household population (n=6,684), we conducted survey-weighted multiple linear regressions to determine the association of various psychological risk and protective factors with changes in psychological distress (PD; measured via PHQ-4) from pre-pandemic (average of 2016 and 2019) to peri-pandemic (both 2020 and 2021) time points. Control analyses on PD change between two pre-pandemic time points (2016 and 2019) were conducted. Regularized regressions were computed to inform on which factors were statistically most influential in the multicollinear setting. Results: PHQ-4 in 2020 (M=2.45) and 2021 (M=2.21) was elevated compared to 2019 (M=1.79). Several risk factors (catastrophizing, neuroticism, asking for instrumental support) and protective factors (perceived stress recovery, positive reappraisal, optimism) were identified for the peri-pandemic outcomes. Control analyses revealed that in pre-pandemic times, neuroticism and optimism were predominantly related to PD changes. Regularized regression mostly confirmed the results and highlighted perceived stress recovery as most consistent influential protective factor across peri-pandemic outcomes. Conclusions: We identified several psychological risk and protective factors related to PD outcomes during the COVID-19 pandemic. Comparison to pre-pandemic data stress the relevance of longitudinal assessments to potentially reconcile contradictory findings. Implications and suggestions for targeted prevention and intervention programs during highly stressful times such as pandemics are discussed.
    1. Science communication is changing. It is increasingly directed not only at peers but at the public in general. Accordingly, understanding the circumstances under which audience members engage with scientific content is crucial to improving science communication. In this article, we investigate the role of affect on audience engagement with a modern form of science communication: TED talks. We examined how affect valence---a net positive or negative affect---and density---the proportion of affective words---are associated with a talk's popularity---reflecting views and likes---and polarity---reflecting dislikes and comments. We found that the valence of TED talks was associated with both popularity and polarity, with positive valence being linked to higher talk popularity and lower talk polarity. Density, on the other hand, was only associated with popularity, with higher affective density being linked to higher popularity---even more so than valence---but not polarity. Moreover, we observed that the association between affect and engagement was partially moderated by talk topic. Specifically, whereas higher density was related to higher popularity across most topics, valence seemed to particularly impact the popularity and polarity of TED talks on social topics, which regularly discuss polarizing issues such as race or political conflicts. We discuss implications of our findings for increasing the effectiveness of science communication.
    1. For computationally limited agents such as humans, perfectly rational decision-making is almost always out of reach. Instead, people may rely on computationally frugal heuristics that usually yield good outcomes. Although previous research has identified many such heuristics, discovering good heuristics and predicting when they will be used remains challenging. Here, we present a machine learning method that identifies the best heuristics to use in any given situation. To demonstrate the generalizability and accuracy of our method, we compare the strategies it discovers against those used by people across a wide range of multi-alternative risky choice environments in a behavioral experiment that is an order of magnitude larger than any previous experiments of its type. Our method rediscovered known heuristics, identifying them as rational strategies for specific environments, and discovered novel heuristics that had been previously overlooked. Our results show that people adapt their decision strategies to the structure of the environment and generally make good use of their limited cognitive resources, although they tend to collect too little information and their strategy choices do not always fully exploit the structure of the environment.
    1. Cities are typical dynamic complex systems that connect people and facilitate interactions. Revealing universal collective patterns behind spatio-temporal interactions between residents is crucial for various urban studies, of which we are still lacking a comprehensive understanding. Massive cellphone data enable us to construct interaction networks based on spatio-temporal co-occurrence of individuals. The rank-size distributions of hourly dynamic population of locations are stable, although people are almost constantly moving in cities and hotspots that attract people are changing over time in a day. A larger city is of a stronger heterogeneity as indicated by a larger scaling exponent. After aggregating spatio-temporal interaction networks over consecutive time windows, we reveal a switching behavior of cities between two states. During the "active" state, the whole city is concentrated in fewer larger communities; while in the "sleeping" state, people are scattered in more smaller communities. Above discoveries are universal over diversified cities across continents. In addition, a city sleeps less, when its population grows larger. And spatio-temporal interaction segregation can be well approximated by residential segregation in smaller cities, but not in larger ones. We propose a temporal-population-weighted-opportunity model by integrating time-dependent departure probability to make dynamic predictions on human mobility, which can reasonably well explain observed patterns of spatio-temporal interactions in cities.
    1. WE HAVE been watching evolution in action as one coronavirus variant after another emerges and triggers further waves of infections around the world. There is every reason to think this will continue during 2022 – and there is no guarantee that future variants will be any less dangerous.
    1. Children aged five to 11 can now be registered for a Covid-19 vaccine in the Republic of Ireland, the Health Service Executive (HSE) has said.
    1. ith emergency use authorization for the Pfizer-BioNTech COVID vaccine newly approved for children 5-11, many parents are asking the question—should we vaccinate our kids? To be fair, many parents may have already made up their mind on this topic with the majority not rushing to get their kids vaccinated.
    1. The Omicron (B.1.1.529) variant of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) was initially identified in November of 2021 in South Africa and Botswana as well as in a sample from a traveler from South Africa in Hong Kong1,2. Since then, B.1.1.529 has been detected globally. This variant seems to be at least equally infectious than B.1.617.2 (Delta), has already caused super spreader events3 and has outcompeted Delta within weeks in several countries and metropolitan areas. B.1.1.529 hosts an unprecedented number of mutations in its spike gene and early reports have provided evidence for extensive immune escape and reduced vaccine effectiveness2,4-6. Here, we investigated the neutralizing and binding activity of sera from convalescent, mRNA double vaccinated, mRNA boosted, convalescent double vaccinated, and convalescent boosted individuals against wild type, B.1.351 and B.1.1.529 SARS-CoV-2 isolates. Neutralizing activity of sera from convalescent and double vaccinated participants was undetectable to very low against B.1.1.529 while neutralizing activity of sera from individuals who had been exposed to spike three or four times was maintained, albeit at significantly reduced levels. Binding to the B.1.1.529 receptor binding domain (RBD) and N-terminal domain (NTD) was reduced in convalescent not vaccinated individuals, but was mostly retained in vaccinated individuals.
    1. SARS-CoV-2 variants have become a major virological, epidemiological and clinical 35 concern, particularly with regard to the risk of escape from vaccine-induced immunity. Here 36 we describe the emergence of a new variant. For twelve SARS-CoV-positive patients living in 37 the same geographical area of southeastern France, qPCR testing that screen for variant-38 associated mutations showed an atypical combination. The index case returned from a travel 39 in Cameroon. The genomes were obtained by next-generation sequencing with Oxford 40 Nanopore Technologies on GridION instruments within 8 h. Their analysis revealed 46 41 mutations and 37 deletions resulting in 30 amino acid substitutions and 12 deletions. Fourteen 42 amino acid substitutions, including N501Y and E484K, and 9 deletions are located in the 43 spike protein. This genotype pattern led to create a new Pangolin lineage named B.1.640.2, 44 which is a phylogenetic sister group to the old B.1.640 lineage renamed B.1.640.1. Both 45 lineages differ by 25 nucleotide substitutions and 33 deletions. The mutation set and 46 phylogenetic position of the genomes obtained here indicate based on our previous definition 47 a new variant we named “IHU”. These data are another example of the unpredictability of the 48 emergence of SARS-CoV-2 variants, and of their introduction in a given geographical area 49 from abroad.
    1. Given that being misinformed can have negative ramifications, finding optimal corrective techniques has become a key focus of research. In recent years, several divergent correction formats have been proposed as superior based on distinct theoretical frameworks. However, these correction formats have not been compared in controlled settings, so the suggested superiority of each format remains speculative. Across four experiments, the current paper investigated how altering the format of corrections influences people’s subsequent reliance on misinformation. We examined whether myth-first, fact-first, fact-only, or myth-only correction formats were most effective, using a range of different materials and participant pools. Experiments 1 and 2 focused on climate change misconceptions; participants were Qualtrics online panel members and students taking part in a massive open online course, respectively. Experiments 3 and 4 used misconceptions from a diverse set of topics, with Amazon Mechanical Turk crowdworkers and university student participants. We found that the impact of a correction on beliefs and inferential reasoning was largely independent of the specific format used. The clearest evidence for any potential relative superiority emerged in Experiment 4, which found that the myth-first format was more effective at myth correction than the fact-first format after a delayed retention interval. However, in general it appeared that as long as the key ingredients of a correction were presented, format did not make a considerable difference. This suggests that simply providing corrective information, regardless of format, is far more important than how the correction is presented.
    1. There is nothing in the current Covid data to suggest new curbs are needed in England at this stage, ministers say.
    1. They went into hospitals with heart attacks, kidney failure or in a psychiatric crisis. This story also ran on USA Today. It can be republished for free. They left with covid-19 — if they left at all.
    1. President Biden’s emergency covid-19 mandates have faced an avalanche of legal challenges. Two of those mandates — the Occupational Safety and Health Administration’s rule that businesses with 100 or more employees must require workers to be fully vaccinated or regularly tested and the Centers for Medicare and Medicaid Services’ regulation requiring vaccinations for staff at health-care facilities — will soon face scrutiny from the Supreme Court.
    1. Covid cases in England reached a new high of 113,628 on Christmas Day and 1,281 people were admitted to hospital – the highest daily figure since mid-February.Official data on new Covid cases, which was delayed over the festive period, also showed 98,515 new confirmed cases reported in England on Monday. Data for Boxing Day from England and Wales combined revealed 108,893 daily cases reported.
    1. England could fit an air purifier to every classroom for half the price of the new royal yacht, a move which scientists and campaigners say would significantly reduce the spread of Covid in schools.The move would cost about £140m, according to calculations by the Liberal Democrats. Government sources have said there will be no delay to the start of the school term, despite surging Omicron cases, and that any additional restrictions will not include classroom closures.
    1. I mean, who wants to say “living with COVID” amirite? The connotation is that it’s just a necessary thing we have to do. But really, at some point, it kind
    1. Hospitals could see as many as one in six doctors and nurses off sick throughout 2022, according to modelling, as the Omicron wave of Covid fuels burnout, stress and anxiety among NHS staff.
    1. The neurological deficits caused by COVID-19, which were first reported in the early months of 2020, continue to intrigue neurologists and health-care professionals worldwide. As two new studies highlight, these manifestations are frequent and are expected to increase the burden of morbidity and mortality in the acute and chronic phases of COVID-19.
    1. A looming shortage of doses for low- and moderate-income countries puts increased pressure on Novavax to obtain regulatory approvals for global manufacturing.
    1. What to KnowNY smashed its all-time daily COVID case record for the eighth time in little more than a week on Sunday as new state data clearly shows vaccine efficacy declines vs. infection but not hospitalization More than 49K NYers tested positive, Gov. Kathy Hochul said, an increase of nearly 5,000 over Friday; most of them were in NYC; hospitalizations statewide topped 4,800 SundayStill, officials say there is no reason to panic; yes, the sheer infection increases alone are astonishing, they say, but vaccines are holding up vs severe omicron infection and state and city hospitals are prepared
    1. Kickboxer Frédéric Sinistra (40), according to a colleague the 'strongest man in Belgium' among the heavyweights, has died. Walloon media reports that he died from the consequences of the corona virus. Sinistra was a convinced corona denier. He refused to be vaccinated and even refused to utter the word 'Covid-19'. His wife denies the reports.
    1. Throughout the ongoing COVID-19 pandemic, the worldwide transmission and replication of SARS- COV-2, the causative agent of COVID-19 disease, has resulted in the opportunity for multiple mutations to occur that may alter the virus transmission characteristics, the effectiveness of vaccines and the severity of disease upon infection. The Omicron variant (B.1.1.529) was first reported to the WHO by South Africa on 24 November 2021 and was declared a variant of concern by the WHO on 26 November 2021. The variant was first detected in the UK on 27 November 2021 and has since been reported in a number of countries globally where it is frequently associated with rapid increase in cases. Here we present analyses of UK data showing the earliest signatures of the Omicron variant and mathematical modelling that uses the UK data to simulate the potential impact of this variant in the UK. In order to account for the uncertainty in transmission advantage, vaccine escape and severity at the time of writing, we carry out a sensitivity analysis to assess the impact of these variant characteristics on future risk.
  2. Dec 2021
    1. Recently, Altay et al (2020) showed that five minutes of interaction with a chatbot led to increases in Covid-19 vaccination attitudes and intentions in a randomly sampled French population, compared to a brief control condition. Here we replicate and qualify this effect, whilst attempting to isolate what made the chatbot condition so effective. We reduce the chatbot information to several fact-checked and updated dialogues, and introduce strict controls to isolate the effect of choice of information. We control the amount of information provided, the time spent with the information, the trustworthiness of the information, and the level of interactivity. Like Altay et al, our experiment allowed participants to navigate a branching dialogue by choosing questions of interest, eliciting set answers on aspects of the Covid-19 vaccine. Our control condition used the same questions and answers but removed all elements of participant choice. In this way, our experiment isolated the effect of participant choice of information. We also specifically targeted those who were either against or neutral towards Covid-19 vaccinations, screening-out those with already positive attitudes. Replicating Altay et al, we found a similar size increase in positive attitudes towards vaccination, as well as a similar sized increase in intention to get vaccinated, after engaging with vaccine information. Unlike Altay et al, we found no difference between our conditions: choosing the questions did not increase vaccine attitudes or intentions anymore than our control condition. In common with Altay et al, we also found an effect of time spent with the information, across both conditions, in that those who spent between 4 and 16 minutes (above the median) reading the information were more likely to increase their vaccination attitudes (but not their intentions). These results suggest that the attitudes of the vaccine hesitant are modifiable with exposure to in-depth, trustworthy and engaging dialogues.
    1. The World Health Organization established that the risk of suffering severe symptoms from COVID-19 is higher for some groups, but this does not mean their chances of infection are higher. However, public health messages often highlight the “increased risk” for these groups such that the risk could be interpreted as being about contracting an infection rather than suffering severe symptoms from the illness (as intended). Stressing the risk for vulnerable groups may also prompt inferences that individuals not highlighted in the message have lower risk than previously believed. In five studies, we investigated how UK residents interpreted such risk messages about COVID-19 (n = 396, n = 399, n = 432, n = 474) and a hypothetical new virus (n = 454). Participants recognised that the risk was about experiencing severe symptoms, but over half also believed that the risk was about infection, and had a corresponding heightened perception that vulnerable people were more likely to be infected. Risk messages that clarified the risk event reduced misinterpretations for a hypothetical new virus, but existing misinterpretations of coronavirus risks were resistant to correction. We discuss the need for greater clarity in public health messaging by distinguishing between the two risk events.
    1. Infectious diseases have been an impending threat to the survival of individuals and groups throughout our evolutionary history. As a result, humans have developed psychological pathogen-avoidance mechanisms and groups have developed societal norms that respond to the presence of disease-causing microorganisms in the environment. In this work, we demonstrate that morality plays a central role in the cultural and psychological architectures that help humans avoid pathogens. We present a collection of studies which together provide an integrated understanding of the socio-ecological and psychological impacts of pathogens on human morality. Specifically, in Studies 1 (2,834 U.S. counties) and 2 (67 nations), we show that regional variation in pathogen prevalence is consistently related to aggregate moral Purity. In Study 3, we use computational linguistic methods to show that pathogen-related words co-occur with Purity words across multiple languages. In Studies 4 (n = 513) and 5 (n = 334), we used surveys and social psychological experimentation to show that pathogen-avoidance attitudes are correlated with Purity. Finally, in Study 6, we found that historical prevalence of pathogens is linked to Care, Loyalty, and Purity. We argue that particular adaptive moral systems are developed and maintained in response to the threat of pathogen occurrence in the environment. We draw on multiple methods to establish connections between pathogens and moral codes in multiple languages, experimentally induced situations, individual differences, U.S. counties, 67 countries, and historical periods over the last century.
    1. We estimate the willingness to taking the booster dose in a representative sample of Danes. We estimate an overall willingness in the adult Danish population of 85.5 percent and a willingness of 94.7 percent among primary vaccine takers. We, moreover, show that these percentages will be significantly lower among younger populations as well as among groups who do not see COVID-19 as a threat towards society and who do not perceive the advice of the health authorities as effective against disease spread.
    1. While the World has been busy mitigating the disastrous health and economic effects of the novel coronavirus, a less direct, but not less concerning peril has largely remained unexplored: the COVID-19 crisis may disrupt some of the most fundamental social and political relationships in democratic societies. We interviewed samples resembling the national population of Denmark, Hungary, Italy and the US three times: in April, June and December of 2020 (14K observations). We employed a broad set of survey questions tapping into perceptions about the two major relationships structuring society: Horizontal relationships between citizens, and vertical relationships between citizens and the state. We benchmarked these data against pre-COVID levels measured in the World Values Survey and the European Values Survey. We present strikingly similar findings across the four diverse countries. We show that support for the political system has markedly decreased already by April and fell further till December. Exploiting the panel setup, we demonstrate that within-respondent increases in indicators of pandemic fatigue (specifically, the perceived subjective burden of the pandemic and feelings of anomie) correspond to decreases in system support and increases in extreme anti-systemic attitudes. Meanwhile, we find much smaller changes in social solidarity and trust compared to pre-pandemic levels, and we find that these attitudes are largely unaffected by pandemic burden. Our results imply that the pandemic is not only a health-crisis, but poses a substantial challenge to the relationship between citizens and the state.
    1. During the past decade the idea that expertise is dead, or at best moribund, has become commonplace. Knowledge resistance appears to be growing more politicized and is increasing across a wide range of science-based topics, such as agriculture, evolution and genetics, vaccination, and climate change; even flat-earth beliefs are undergoing a renaissance. But in many of these areas, denying expert authority is cost-free in everyday behavior, making it more rational for people to prize identity and group affiliation over realism. To probe the health of expertise in a domain with everyday consequences for knowledge resistance, we conducted three incentive-compatible studies of laypeople’s preferences for sources of information they would read about specific medical conditions (e.g., heart disease, cancer, COVID-19). We found quite rational preference patterns, by which people preferred sources based on experts (physicians and scientists) over non-experts (celebrities and politicians) and group consensus (professional societies, polls) over individual opinions. These findings held most strongly for issues of personal medical concern, but were robust for less concerning health conditions, and for the highly politicized topic of COVID-19. Individuals who scored higher in intellectual humility and preferences for rational over experiential thinking were more likely to prefer the most expert sources. Expertise retains broad respect in the medical domain, at least when one’s own health is at stake.
    1. The COVID-19 Pandemic has had a significant impact on society. Due to the large lose of life, scientists have attempted to develop various rapid testing methods. Several methods have been developed among them, an inexpensive paper test. The researcher has endeavored to determine what factors will influence a person’s willing to take a daily covid-19 test. Via a survey instrument that was disseminated we received a response of N=546 participants. We performed many standard statistical tests, t-tests, and one way ANOVA’s as well as Chi Squared tests and Linear by linear associations. Via this analysis were able to determine that there is a statistical significance between willingness to take daily rapid covid-19 test (p <0.05 and, washing your hand (p <0.001), being cautious of your actions (p <0.001), being concerned about covid-19 (p <0.001) and preventing things before they happen (p <0.001). Risk averse people more likely to take preventative measures to take actions to protect themselves and others around them. The lack of basic knowledge regarding the replication of SAR-CoV-2, has led people to underestimate the rapid spread of the virus. Thus, people are coming in contact with others during the most virulent state of the virus.
    1. Objectives: Qualitative study exploring public attitudes to COVID-19 18 months into the pandemic, specifically focused on adherence to infection-reducing behaviours and policy measures during a period of the emergence of a new variant (Omicron) Study design: Qualitative online focus group study Methods: Focus groups were conducted with a diverse sample of 22 adults in the United Kingdom to explore their views. Data were analysed using a framework approach. Findings: Analysis revealed two main groups based on participants’ perceived concern over Omicron: variant fatigue (n=16 (73%)) and deja vu (n=6 (27%)). Those exhibiting variant fatigue reported not adopting any additional caution or infection-reducing behaviours as a result of the new variant. They tended to describe Omicron as ‘just another variant’ and expressed a need to ‘get on’ and ‘live with’ the virus. Those exhibiting deja vu suggested that Omicron was of additional concern to them and for some posed a threat not seen since ‘last year’ (second wave). No demographic patterns emerged, although there was a high amount of variant fatigue (absence of additional caution) (n=5 (83%)) amongst the unvaccinated participants. Those who were concerned about Omicron tended to report reducing social contacts. Few participants reported taking lateral flow tests regularly, except for those required to by their employers. Stated compliance with facemask rules was high. Nearly all participants stated an intention to comply with any future potential policy measures to reduce transmission of COVID-19, including more stringent measures such as lockdowns. Implications: 18 months into the pandemic, there may be habituation to the risk posed by COVID-19, despite the increased risk posed by the new variant Omicron. Due to this risk habituation (‘variant fatigue’) and due to a general decline in engagement with news related to COVID-19, many people may not be, or might be reluctant to, voluntarily adopt additional caution and infection-reducing behaviours. This poses a challenge for public health communication, since a sense of being ‘relaxed’ about, or ‘living with’ COVID-19 may undermine efforts to encourage voluntary adherence to infection-reducing behaviours. However, findings suggest that most people intend to comply (albeit reluctantly) with policy measures (as opposed to ‘advice’)- including stringent measures such as lockdown - if they were required in future.
    1. Faced with the SARS-CoV-2pandemic, we decided to investigate if recovery from this large exogenous global shock depended on both emotional and economic recovery. We piloted a survey from May 2020 – August 2020 to examine how exposure to this global pandemic shaped economic outlook, and we documented the innate emotional styles of respondents. We then sought to answer two questions. Do the emotional style dimensions have anything to do with economic recovery? And are wages and emotional dimensions associated with economic outlook? With these questions in mind, we estimated two structural equation models. We jointly estimated all six emotional dimensions for the first question and assessed their impact on economic outlook. We estimated a structural model with a Mincer-wage equation and emotional outlook, resilience, and attention equations for the second question. We found that emotional outlook was positively and significantly correlated with economic outlook. We also found that wages, emotional- outlook, resilience, and attention were correlated with returning to behavior-normal, meaning once the public health crisis abates, fear will cease to restrict mobility in all sectors. We found pessimism over returning to business-normal, patronizing businesses that are significantly affected by the pandemic could have a dampening effect on economic recovery. However, this could be offset by the positive correlations between emotional outlook on economic outlook and returning to behavior-normal, both of which could boost economic recovery. From a public policy standpoint fostering a positive emotional outlook and encouraging emotional resilience could be the mojo needed for faster economic recovery.
    1. A healthy diet and lifestyle may protect against adverse mental health outcomes, which is especially crucial during stressful times, such as the COVID-19 pandemic. This preregistered longitudinal online study explored whether diet and lifestyle (physical activity, sleep, and social interactions) could predict wellbeing and mood during a light lockdown in Germany. Participants (N = 117, 72 males; 28  9 years old) answered mental health and lifestyle questionnaires (social connections, sleep, activity) followed by submitting one week of food and mood-lifestyle diary (food intake, positive and negative mood, mental wellbeing, sleep quality, physical activity level, quantity and quality of social interactions) via a smartphone app. We used multivariate linear and mixed-effects models to predict mood and wellbeing by using dietary components and lifestyle factors. Inter-individual analyses revealed that sleep and social interaction significantly impacted mood and wellbeing. Interestingly, fruit and vegetable intake predicted wellbeing, even when controlling for all lifestyle factors. Fruit and vegetable intake also significantly predicted daily fluctuations in wellbeing within individuals next to sleep, physical activity, and social interactions. We observed gender differences in fruit and vegetable intake and anxiety levels. Our results emphasize the importance of diet contributing to individual wellbeing, even in the challenging times of a pandemic.
    1. With the widespread adoption of masks, there is a need for understanding how facial obstruction affects emotion recognition. We asked 120 participants to identify emotions from faces with and without masks. We also examined if recognition performance was related to autistic traits and personality. Masks impacted recognition of expressions with diagnostic lower face features the most and those with diagnostic upper face features the least. Persons with higher autistic traits were worse at identifying unmasked expressions, while persons with lower extraversion and higher agreeableness were better at recognizing masked expressions. These results show that different features play different roles in emotion recognition and suggest that obscuring features affects social communication differently as a function of autistic traits and personality.
    1. On the afternoon of New Year’s Eve, just hours from when 2019 was going to segue into 2020, I read an email about some unusual pneumonia cases in China’s Hubei province. Over the past couple of decades, China has been a wellspring of dangerous zoonotic diseases — SARS, H5N1 bird flu, and H7N9 bird flu. Better keep an eye on this, I thought to myself. Fast-forward two years. We’re entering the third year of the Covid-19 pandemic. So much has happened in the intervening months. Some things have gone surprisingly well, notably the rapid development of Covid vaccines and some therapeutics. But far more things have gone horribly wrong.Multiple commissions and panels have been set up to learn the lessons of this pandemic so that we don’t repeat the same mistakes next time. (Yes, sadly, there will be a next time.) More commissions and panels are likely to follow. But already, some things have become abundantly clear. Here are 10 lessons I’ve learned in the past two years.
    1. About 800 kids have been admitted nearly every day this week, with those in Ohio, Texas, Pennsylvania and New York hit particularly hard by the juggernaut variant.
    1. According to Biological E. Limited, the CORBEVAX COVID-19 vaccine will be effective both in scale and affordability, providing sustainable access to low-and middle-income countries.
    1. COVID-19 is known to cause multi-organ dysfunction1-3 in acute infection, with prolonged symptoms experienced by some patients, termed Post-Acute Sequelae of SARS-CoV-2 (PASC)4-5. However, the burden of infection outside the respiratory tract and time to viral clearance is not well characterized, particularly in the brain3,6-14. We performed complete autopsies on 44 patients with COVID-19 to map and quantify SARS-CoV-2 distribution, replication, and cell-type specificity across the human body, including brain, from acute infection through over seven months following symptom onset. We show that SARS-CoV-2 is widely distributed, even among patients who died with asymptomatic to mild COVID-19, and that virus replication is present in multiple extrapulmonary tissues early in infection. Further, we detected SARS-CoV-2 RNA in multiple anatomic sites, including regions throughout the brain, for up to 230 days following symptom onset. Despite extensive distribution of SARS-CoV-2 in the body, we observed a paucity of inflammation or direct viral cytopathology outside of the lungs. Our data prove that SARS-CoV-2 causes systemic infection and can persist in the body for months.
    1. After two years of an exhausting global pandemic, people are naturally a bit fed up. As time has progressed, we’ve all generally gone from willing engagement and reasonable debate to shouting matches where the real question is who can get their point across with more vigor.Nowhere is this more true than in debates about vaccinations. On the one hand, there is strong scientific evidence that vaccines are safe, effective, and can largely prevent the severe disease that has caused COVID-19 to be such a scourge. On the other, there are sometimes reasonable concerns and misunderstandings about immunization, which are amplified by a group of anti-vaccination advocates into a storm of scientific misinformation. This, understandably, leads to some quite fractious debates.Pictured: Civil vaccine discussion. They don’t even have knives out. Source: PexelsAmid these discussions, a common theme has been cropping up again and again — the idea that people who are unvaccinated are immoral, and thus they do not deserve healthcare if they get sick. The idea is that being unvaccinated is, at this point, an ignorant personal choice, and thus we should leave these people to fend for themselves if they do get sick from COVID-19.This is, in a word, ridiculous. Unvaccinated people are still people, and we should always provide them with the medical care they require.
    1. Barely a month after it was discovered, there’s still quite a bit we don’t know about omicron. The three key areas to focus on are transmissibility, disease severity and immune evasion.
    2. Alongside this there has been a steady tide of coverage and commentary suggesting that omicron causes mostly mild disease — the implication being that it’s not much to worry about, that if we only stay the course we can ride this one out, too.Story continues below advertisementBut that’s premature. Let me be clear: I’m not stating definitively that omicron has some grim future in store for us. I’m saying that there are red flashing warning signs, that we underestimate this virus at our peril and that even the best-case scenario is still bad.
    1. As the Omicron variant sprints to dominance across the United States, the country’s ability to track the resulting infections is about to evaporate. There are multiple reasons for this.
    1. A surge in Covid-19 cases driven by the Omicron variant is causing disruption to sporting events around the world.There have been postponements in the Premier League, English Football League (EFL) and Women's Super League (WSL).European and domestic rugby has been hit, while NFL and NBA games have also been postponed after Covid outbreaks in the United States.
    1. The Bollingers and others were already in the business of selling vaccine disinformation before the coronavirus began its inexorable march across the globe. But the pandemic presented the couple and others a huge opportunity to expand their reach.
    1. The Netherlands has announced a strict lockdown over Christmas amid concerns over the Omicron coronavirus variant. Non-essential shops, bars, gyms hairdressers and other public venues will be closed until at least mid-January. Two guests per household will be allowed - four over the holidays.
    1. Confirmed Omicron cases are a sample of an already incomplete figureThe UK reported an average of 88,000 Covid cases each day in the past week (to 21 December). However, only a subset of those cases are being picked up through PCR tests – the type carried out in an NHS walk-in centre – and it is only PCR tests that allow labs to check what kind of variant a person has.What is more, not all UK laboratories have the capability to carry out these checks. Just four provide the UKHSA with data on variant types.
    1. Many of the world's richest countries have spent the past year hoarding coronavirus vaccines, buying up enough doses to vaccinate their populations several times over and consistently failing to deliver on their promises to share doses with the developing world. The World Health Organization said the approach was "self-defeating" and "immoral."
    1. Coronavirus disease 2019 (COVID-19) is an infectious disease that can present as an uncontrolled, hyperactive immune response, causing severe immunological injury. Existing rodent models do not recapitulate the sustained immunopathology of patients with severe disease. Here we describe a humanized mouse model of COVID-19 that uses adeno-associated virus to deliver human ACE2 to the lungs of humanized MISTRG6 mice. This model recapitulates innate and adaptive human immune responses to severe acute respiratory syndrome coronavirus 2 infection up to 28 days after infection, with key features of chronic COVID-19, including weight loss, persistent viral RNA, lung pathology with fibrosis, a human inflammatory macrophage response, a persistent interferon-stimulated gene signature and T cell lymphopenia. We used this model to study two therapeutics on immunopathology, patient-derived antibodies and steroids and found that the same inflammatory macrophages crucial to containing early infection later drove immunopathology. This model will enable evaluation of COVID-19 disease mechanisms and treatments.
    1. Far-right groups on Telegram have been using COVID-19 conspiracy theories to recruit new members.This finding comes from a study by the Institute of Strategic Dialogue, based in London.Far-right groups have mobilized emotions around COVID-19 restrictions and vaccinations.
    1. Court of Queen's Bench Justice Johnna Kubik noted that until the pandemic both parents had ensured their children received all childhood immunizations and annual flu vaccinations
    1. As of early December, more than 2.3 million children aged 5 to 11 years had developed COVID-19 and 209 had died. Although a vaccine that’s 90.7% effective in preventing the illness was authorized for younger kids in late October, these figures apparently aren’t convincing enough to persuade many parents to vaccinate their children.
    1. Predicting future COVID waves and hospital surges is always fraught with challenges, but there are early indications from Texas, Minnesota, Britain and South Africa that the U.S. health system will experience yet another great challenge
    1. AbstractBackground Vaccine mandates and vaccine passports (VMVP) for SARS-CoV-2 are thought to be a path out of the pandemic by increasing vaccination through coercion and excluding unvaccinated people from different settings because they are viewed as being at significant risk of transmitting SARS-CoV-2. While variants and waning efficacy are relevant, SARS-CoV-2 vaccines reduce the risk of infection, transmission, and severe illness/hospitalization in adults. Thus, higher vaccination levels are beneficial by reducing healthcare system pressures and societal fear. However, the benefits of excluding unvaccinated people are unknown.Methods A method to evaluate the benefits of excluding unvaccinated people to reduce transmissions is described, called the number needed to exclude (NNE). The NNE is analogous to the number needed to treat (NNT=1/ARR), except the absolute risk reduction (ARR) is the baseline transmission risk in the population for a setting (e.g., healthcare). The rationale for the NNE is that exclusion removes all unvaccinated people from a setting, such that the ARR is the baseline transmission risk for that type of setting, which depends on the secondary attack rate (SAR) typically observed in that type of setting and the baseline infection risk in the population. The NNE is the number of unvaccinated people who need to be excluded from a setting to prevent one transmission event from unvaccinated people in that type of setting. The NNE accounts for the transmissibility of the currently dominant Delta (B.1.617.2) variant to estimate the minimum NNE in six types of settings: households, social gatherings, casual close contacts, work/study places, healthcare, and travel/transportation. The NNE can account for future potentially dominant variants (e.g., Omicron, B.1.1.529). To assist societies and policymakers in their decision-making about VMVP, the NNEs were calculated using the current (mid-to-end November 2021) baseline infection risk in many countries.Findings The NNEs suggest that at least 1,000 unvaccinated people likely need to be excluded to prevent one SARS-CoV-2 transmission event in most types of settings for many jurisdictions, notably Australia, California, Canada, China, France, Israel, and others. The NNEs of almost every jurisdiction examined are well within the range of the NNTs of acetylsalicylic acid (ASA) in primary prevention of cardiovascular disease (CVD) (≥ 250 to 333). This is important since ASA is not recommended for primary prevention of CVD because the harms outweigh the benefits. Similarly, the harms of exclusion may outweigh the benefits. These findings depend on the accuracy of the model assumptions and the baseline infection risk estimates.Conclusions Vaccines are beneficial, but the high NNEs suggest that excluding unvaccinated people has negligible benefits for reducing transmissions in many jurisdictions across the globe. This is because unvaccinated people are likely not at significant risk – in absolute terms – of transmitting SARS-CoV-2 to others in most types of settings since current baseline transmission risks are negligible. Consideration of the harms of exclusion is urgently needed, including staffing shortages from losing unvaccinated healthcare workers, unemployment/unemployability, financial hardship for unvaccinated people, and the creation of a class of citizens who are not allowed to fully participate in many areas of society.
    1. When the history of this pandemic is written, contrarian doctors divorced from patient care won’t be seen as its principal victims because YouTube removed their video, because someone called them “fringe,” or because someone put up posters reminding them of words they said.
    1. Summary 1. SPI-M-O groups now estimate a growth rate of around 0.4 per day for the Omicron variant of SARS-CoV-2, which is consistent with a doubling time of around 2 days. Areas with higher incidence of Omicron cases, for example London and Greater Manchester, are starting to see increases in hospital admissions, however, much of this will still be associated with Delta. The hospital impact of Omicron cases is yet to be seen. 2. SPI-M-O has considered an updated range of scenarios from 2 academic groups who have modelled the impact of Omicron transmission on trajectories of infections, hospitalisations, and deaths. These groups suggest it is almost certain that there will be a very substantial peak of infections (much larger than occurred during January 2021). There are highly likely to be between 1,000 and 2,000 hospital admissions per day in England by the end of the year. Many of these hospitalisations are already ‘in the system’ due to the lags between infection, symptom onset, and the subsequent need for health care. The recently announced expanded and expedited booster vaccination programme will not affect transmission and severe and mild disease in time to mitigate these hospitalisations for the rest of 2021. 3. Scenarios that assume no further restrictions beyond Plan B generally lead to trajectories in daily hospital admissions in England that have a minimum of 3,000 hospital admissions per day at their peaks, with some scenarios having significantly worse outcomes during the first few months of 2022. To prevent such a wave of hospitalisations, more stringent measures would need to be implemented before 2022. 4. Behaviour change (spontaneous, recommended, or mandated) could significantly affect the peak of infections and hospitalisations. Current modelling assumes no change in behaviours beyond those previously seen on imposition of equivalent measures in the past. Non-mandated behaviour change, however, has the potential to make a big difference in either direction – changes in mixing over the festive period, between generations and within different networks, could increase transmission, but rapidly doubling cases may lead to a spontaneous precautionary reduction in mixing patterns. As Omicron is doubling so quickly, it is highly likely that, if behaviour changed or measures were implemented only after noticeable increases in hospital admissions, it would be too late to materially decrease peak hospitalisations. 5. It is not only hospitalisations that will increase substantially, but the number of infections and cases will likely lead to significant levels of milder disease that may have implications for workforce and school absences. 6. As with previous large waves of infection, different settings, such as hospitals, care homes, and prisons, will experience Omicron outbreaks. Healthcare setting-associated (nosocomial) infections, in particular, have already been seen and are widely expected, with the subsequent impacts of high staff absence. 7. Extensive uncertainties in these scenarios remain. The current estimated growth rate of Omicron, the speed and coverage of the booster roll out, and level of protection through vaccine effectiveness estimates (particularly against severe disease) and cross-protection due to previous infection will all impact these trajectories. There currently remains no strong evidence that Omicron infections are either more or less severe than Delta infections.
    1. A long thread on @NYTimes/@washingtonpost/@TheAtlantic's favorite prediction-making expert, Monica Gandhi. Feb 22, 2021: "I need to say variants, shmariants, okay? I'm sorry, I don't know what kind of trouble that's going to get me in..."
    1. First EUL granted by WHO for a protein-based COVID-19 vaccine EUL vaccine manufactured and marketed by SII as COVOVAX™ WHO EUL for Nuvaxovid™ currently under assessment; will be completed following European Medicines Agency (EMA) review
    1. Following decreasing vaccination rates over the last two decades, understanding the roots of vaccine hesitancy has become a public health priority. Vaccine hesitancy is linked to scientifically unfounded fears around the MMR vaccine and autism which are often fuelled by misinformation spread on social media. To counteract the effects of misinformation about vaccines and in particular the falling vaccination rates, much research has focused on identifying the antecedents of vaccine hesitancy. As antecedents of vaccine hesitancy are contextually dependent, a one-size-fits-all approach is unlikely to be successful in non-WEIRD (Western, Educated, Industrialised, Rich, and Democratic) populations, and even in certain (non-typical) WEIRD sub-populations. Successful interventions to reduce vaccine hesitancy must be based on understanding of the specific context. To identify potential contextual differences in the antecedents of vaccine hesitancy, we review research from three non-WEIRD populations in East Asia, and three WEIRD sub-populations. We find that regardless of the context, mistrust seems to be the key factor leading to vaccine hesitancy. However, the object of mistrust varies across WEIRD and non-WEIRD populations, and across WEIRD subgroups suggesting that effective science communication must be mindful of these differences.
    1. The first articles alerting the world to a new variant, later designated Omicron, appeared only three weeks ago. It is now on course to become the world’s dominant variant. Omicron cases have been doubling in England about every 2 days. We are starting to see the consequences in daily case numbers (with record new cases reported today). Unfortunately, very few measures are in place to prevent its further spread and we are still just at the beginning of the Omicron wave as it becomes dominant in England this week.
    1. The past 20 years have witnessed four fatal coronavirus outbreaks: SARS (severe acute respiratory syndrome, 2002 and 2003), MERS (Middle East respiratory syndrome, since 2012), and now Covid-19 (since 2019). Scientific evidence and ecologic reality suggest that coronaviruses will emerge again in the future, potentially posing an existential threat.1 The betacoronaviruses that caused these epidemics are globally distributed in numerous species of bats. The full virologic and geographic extent of this enzootic reservoir is unknown; however, it has been increasingly spilling over into humans and other mammals.2 Because of genetic and structural receptor conservation among mammalian species, many of these animal betacoronaviruses are “preadapted” for infecting humans by binding to angiotensin-converting–enzyme 2 (ACE2) receptors, which facilitates viral spillovers and ongoing transmission.3 Some animal coronaviruses that may have pandemic potential have already been identified, and many more remain to be detected.
    1. Keith Smith, whose wife had gone to court to have his COVID-19 infection treated with ivermectin, died Sunday evening, a week after he received his first dose of the controversial drug.
    1. About 15 per cent of the province’s 1,389 chiropractors are warning they will sue regulatory college directors personally if they back a provincial COVID-9 vaccination mandate.
    1. For hospitalized patients with COVID-19 receiving noninvasive supplemental oxygen, COVID-19 convalescent plasma (CCP) is not efficacious compared with placebo, according to a study published online Dec. 13 in JAMA Internal Medicine.
    1. Due to numerous mutations in the spike protein, the SARS-CoV-2 variant of concern Omicron (B.1.1.529) raises serious concerns since it may significantly limit the antibody-mediated neutralization and increase the risk of reinfections. While a rapid increase in the number of cases is being reported worldwide, until now there has been uncertainty about the efficacy of vaccinations and monoclonal antibodies. Our in vitro findings using authentic SARS-CoV-2 variants indicate that in contrast to the currently circulating Delta variant, the neutralization efficacy of vaccine-elicited sera against Omicron was severely reduced highlighting T-cell mediated immunity as essential barrier to prevent severe COVID-19. Since SARS-CoV-2 Omicron was resistant to casirivimab and imdevimab, genotyping of SARS-CoV-2 may be needed before initiating mAb treatment. Variant-specific vaccines and mAb agents may be required to treat COVID-19 due to Omicron and other emerging variants of concern.
    1. As Paula Zimmerman queued at her gate in Cape Town, a news alert flashed up on her phone, warning about a new variant of COVID-19 that had just been discovered in South Africa.
    1. Coronavirus latest as the UK reports its highest daily caseload ever at 78,610; Study finds Omicron variant multiplies 70 times faster than Delta in human lungs, SAGE expert says it is possible that a million people could be isolating with COVID on Christmas Day.
    1. Despite data showing the safety and effectiveness of the COVID-19 vaccine for pregnant women and numerous recommendations from health organizations around the world, uptake is still lagging.
    1. In the last few days a number of genomes have been uploaded by South Africa, Australia and Canada that whilst having many of the defining mutations of B.1.1.529 (Omicron) do not have the full set and also have a number of their own unique mutations. This was first described in Issue #359
    1. As some intensive care units fill up once again, the patients with covid-19 feel almost familiar. Not all, but many, of them are overweight; similarly, many have diabetes or high blood pressure. The difference this time, however, is that another common factor has been added to our lists: patients who are unvaccinated. Certainly not all, but many. How does it feel to care for someone at the edge of life when you know that it didn’t necessarily have to be this way?Some health professionals may feel angry at having to care for patients who have made unwise decisions. But we all make poor choices at some points in our lives. You may eat too much, you may have texted while driving, or perhaps you drank too much at the office party. And perhaps you got away with it. Through luck rather than judgment, you didn’t crash your car or break your ankle. We are so much more than our worst decisions, and so are the patients who made poor choices and were less fortunate.Many of the people who turned down having the vaccine are thoughtful and intelligent. Yet the world is full of bad ideas and bad incentives, and people are often influenced by them. Untangling the net of influence is difficult, and often the harder other people try to help, the tighter the knots become. Even exposing bad science to help explain the faulty logic behind it can reinforce those very same false beliefs, through quirks of human psychology that are hard to understand.And so, what should we do? How should we feel about it all? For one thing, we should continue to explain how the vaccine is safe. We should say that, even if you accept the vaccine’s potential risks—which may have been inflated through bad science—the vaccine is still far safer than actually having covid.We should also say that choosing a disease filled with risks and uncertainties over a vaccine with far fewer risks and far less uncertainty is still an individual choice, but it’s a choice I find impossible to understand when viewed in this way. However, we should resist continually poking fun or shaming bad science or bad ideas, even if we do so only to expose them. In this increasingly polarised world, repeated exposure only serves to strengthen beliefs, even after they’re dismantled through logic.And yet, I still feel angry and cheated. But not at the patients; rather, at the people promoting, fuelling, and exploiting the bad ideas and bad incentives that influence so many people. I am angry with the liars, not those who have been lied to.
    1. The extraordinary vaccination of more than four billion people, and the lack of access for many others, were major forces this year — while Omicron’s arrival complicated things further.
    1. Recent surveillance has revealed the emergence of the SARS-CoV-2 Omicron variant (BA.1/B.1.1.529) harboring up to 36 mutations in spike protein, the target of vaccine-induced neutralizing antibodies. Given its potential to escape vaccine-induced humoral immunity, we measured neutralization potency of sera from 88 mRNA-1273, 111 BNT162b, and 40 Ad26.COV2.S vaccine recipients against wild type, Delta, and Omicron SARS-CoV-2 pseudoviruses. We included individuals that were vaccinated recently (<3 months), distantly (6-12 months), or recently boosted, and accounted for prior SARS-CoV-2 infection. Remarkably, neutralization of Omicron was undetectable in most vaccinated individuals. However, individuals boosted with mRNA vaccines exhibited potent neutralization of Omicron only 4-6-fold lower than wild type, suggesting that boosters enhance the cross-reactivity of neutralizing antibody responses. In addition, we find Omicron pseudovirus is more infectious than any other variant tested. Overall, this study highlights the importance of boosters to broaden neutralizing antibody responses against highly divergent SARS-CoV-2 variants.
    1. Just how big of a difference will deliberated thinking make in the digital age when judging whether the headline of a digital article is true or fake? Misinformation plagued the Chinese internet space, and fake news, especially related to health tips, often went viral on the internet with rapid speed. A previous study 1 was previously conducted on political articles measuring the influence of partisanship on thinking deliberately. In this paper, we conducted a study on how deliberation influenced the accuracy of Chinese netizens distinguishing real and fake news headlines, using a similar experiment procedure from the above mentioned study. We found that deliberation reduces the possibility of these readers being misguided by fake health-related headlines. A similar trend of accuracy was observed when participants thought deliberately compared to the original study, despite using different topics on a different population of participants.
    1. Researchers are rapidly sequencing the genomes of virus samples worldwide, but shortcomings in the global surveillance system make the task a challenge.
    1. Both clinical trials and studies leveraging real-world data have repeatedly confirmed the three COVID-19 vaccines authorized for use by the Food and Drug Administration are safe and effective at preventing infection, hospitalization, and death due to COVID-19 and a recent observational study of self-reported symptoms provides support that vaccination may also reduce the probability of developing long-COVID. As part of a federated research study with the COVID-19 Patient Recovery Alliance, Arcadia.io performed a retrospective analysis of the medical history of 240,648 COVID-19-infected persons to identity factors influencing the development and progression of long-COVID. This analysis revealed that patients who received at least one dose of any of the three COVID vaccines prior to their diagnosis with COVID-19 were 7-10 times less likely to report two or more long-COVID symptoms compared to unvaccinated patients. Furthermore, unvaccinated patients who received their first COVID-19 vaccination within four weeks of SARS-CoV-2 infection were 4-6 times less likely to report multiple long-COVID symptoms, and those who received their first dose 4-8 weeks after diagnosis were 3 times less likely to report multiple long-COVID symptoms compared to those who remained unvaccinated. This relationship supports the hypothesis that COVID-19 vaccination is protective against long-COVID and that effect persists even if vaccination occurs up to 12 weeks after COVID-19 diagnosis. A critical objective of this study was hypothesis generation, and the authors intend to perform further studies to substantiate the findings and encourage other researchers to as well.
    1. Arcadia, in collaboration with Leavitt Partners’ COVID-19 Patient Recovery Alliance, presents novel findings on patient susceptibility to long-COVID symptoms
    1. The unprecedented, real-life pressures of the COVID-19 pandemic have shone a harsh spotlight onto long held assumptions from medical research, not least in the field of human immunology. Faced with this unprecedented global dataset of human infection and immunity, it has become crucial to appraise and reappraise assumptions about the nature and measures of protective immunity, durability of antiviral immunity, and changes in immunity across the life course. The learning curve has been steep. At the start of the pandemic, there were opposing arguments. Some emphasised building protective herd immunity following natural infection,1 while others argued that immune subversion mechanisms of human coronaviruses (such as those that cause winter colds) make annual, rolling reinfection the norm,2 and tolerance of natural exposure came at an unacceptably high risk with an infection of such high case fatality rate, especially in elderly people. Although it is clear that disease severity and lethality are strongly associated with age,3 the specific immune correlates of differential susceptibility are hard to delineate, since most studies indicate nuanced deficiencies in B cell and T cell immunity across the life course.4
    1. The UK has recorded the highest number of daily Covid-19 cases since the beginning of the pandemic, with 78,610 reported on Wednesday.
    1. A high-profile replication study in cancer biology has obtained disappointing results. Scientists must redouble their efforts to find out why.
    1. Although myocarditis and pericarditis were not observed as adverse events in coronavirus disease 2019 (COVID-19) vaccine trials, there have been numerous reports of suspected cases following vaccination in the general population. We undertook a self-controlled case series study of people aged 16 or older vaccinated for COVID-19 in England between 1 December 2020 and 24 August 2021 to investigate hospital admission or death from myocarditis, pericarditis and cardiac arrhythmias in the 1–28 days following adenovirus (ChAdOx1, n = 20,615,911) or messenger RNA-based (BNT162b2, n = 16,993,389; mRNA-1273, n = 1,006,191) vaccines or a severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) positive test (n = 3,028,867). We found increased risks of myocarditis associated with the first dose of ChAdOx1 and BNT162b2 vaccines and the first and second doses of the mRNA-1273 vaccine over the 1–28 days postvaccination period, and after a SARS-CoV-2 positive test. We estimated an extra two (95% confidence interval (CI) 0, 3), one (95% CI 0, 2) and six (95% CI 2, 8) myocarditis events per 1 million people vaccinated with ChAdOx1, BNT162b2 and mRNA-1273, respectively, in the 28 days following a first dose and an extra ten (95% CI 7, 11) myocarditis events per 1 million vaccinated in the 28 days after a second dose of mRNA-1273. This compares with an extra 40 (95% CI 38, 41) myocarditis events per 1 million patients in the 28 days following a SARS-CoV-2 positive test. We also observed increased risks of pericarditis and cardiac arrhythmias following a positive SARS-CoV-2 test. Similar associations were not observed with any of the COVID-19 vaccines, apart from an increased risk of arrhythmia following a second dose of mRNA-1273. Subgroup analyses by age showed the increased risk of myocarditis associated with the two mRNA vaccines was present only in those younger than 40.
    1. West End hits The Lion King and The Life of Pi are among a number of shows that have been forced to cancel performances due to Covid-19 outbreaks.
    1. Of the 1,360 cases reported, 424 are from the Hunter New England areaAuthorities have warned that the Omicron variant is likely to dominate Newcastle infections  Brad Hazzard said illness caused by the Omicron variant appeared to be less severe
    1. Some politicians, public officials and a handful of physicians are spreading misinformation. It's important for journalists to debunk falsehoods high up in their stories, avoid false balance, and dig into the motives.
    1. The COVID-19 pandemic has been accompanied by an “infodemic” of false information and conspiracy theories since the virus first emerged nearly two years ago. Exposure to misinformation can reduce plans to get vaccinated, and may potentially put more people at risk. This tension between those who are vaccinated and those who reject vaccines or dispute the science can divide families and rip apart friendships especially when loved ones are immersed in conspiracy theories about, for example, the origin of COVID-19 or mask wearing. With Germany hit by a significant fourth wave of COVID infections, several German states are now trying new ways to tackle COVID denial and false information about vaccination. Building on research about disinformation, which refers to incorrect information that is deliberately spread, some states have created centres with free, confidential counselling for people who are either looking for help in dealing with family members who believe false information or just want to check facts.
    1. The political discontent triggered by the COVID-19 pandemic – including public protesting and the airing of anti-elite sentiments – is reminiscent of discontent often associated with populism. Research on populism has highlighted a sense of vulnerability and loss of control as drives of populism. Similarly, health authorities and researchers have highlighted “pandemic fatigue” as a central psychological consequence of the pandemic, which may fuel political discontent. On this basis, we ask how pandemic fatigue developed over the course of the pandemic and whether it fueled populist sentiments. Utilizing longitudinal and panel surveys collected from September 2020 to July 2021 in eight Western democracies, we analyze: (1) fatigue over time at the country level, (2) associations between pandemic fatigue and discontent, and (3) the effect of pandemic fatigue on political discontent using panel data. We find that pandemic fatigue significantly increases with time and the severity of lockdowns but also decreases with COVID-19 deaths. When triggered, fatigue elicits a broad range of discontent, including protest support and conspiratorial thinking. The results demonstrate the importance of distress for the activation of populism and discontent. As discussed, the results also highlight a need for distinguishing between aggressive and submissive aspects of populism.
    1. Schools were closed extensively in 2020-2021 to counter COVID-19 spread, impacting students’ education and well-being. With highly contagious variants expanding in Europe, safe options to maintain schools open are urgently needed. We developed an agent-based model of SARS-CoV-2 transmission in school. We used empirical contact data in a primary and a secondary school, and data from pilot screenings in 683 schools during the 2021 spring Alpha wave in France. We fitted the model to observed school prevalence to estimate the school-specific reproductive number and performed a cost-benefit analysis examining different intervention protocols. We estimated RAlpha=1.40 (95%CI 1.35-1.45) in the primary and RAlpha=1.46 (1.41-1.51) in the secondary school during the wave, higher than Rt estimated from community surveillance. Considering the Delta variant and vaccination coverage in Europe, we estimated RDelta=1.66 (1.60-1.71) and RDelta=1.10 (1.06-1.14) in the two settings, respectively. Under these conditions, weekly screening with 75% adherence would reduce cases by 34% (95%CI 32-36%) in the primary and 36% (35-39%) in the secondary school compared to symptom-based testing. Insufficient adherence was recorded in pilot screening (median ≤53%). Regular screening would also reduce student-days lost up to 80% compared to reactive closure. Moderate vaccination coverage in students would still benefit from regular screening for additional control (23% case reduction with 50% vaccinated children). COVID-19 pandemic will likely continue to pose a risk for school opening. Extending vaccination coverage in students, complemented by regular testing largely incentivizing adherence, are essential steps to keep schools open, especially under the threat of more contagious variants.
    1. The COVID-19 pandemic has made it clear that effective public health messaging is an indispensable component of a robust pandemic response system. In this article, we review decades of research from the interdisciplinary field of communication science and provide evidence-based recommendations for COVID-19 public health messaging. We take a principled approach by systematically examining the communication process, focusing on decisions about what to say in a message (i.e., message content) and how to say it (i.e., message executions), and how these decisions impact message persuasiveness. Following a synthesis of each major line of literature, we discuss how science-based principles of message design can be used in COVID-19 public health messaging. Additionally, we identify emerging challenges for public health messaging during the COVID-19 pandemic and discuss possible remedies. We conclude that communication science offers promising public health messaging strategies for combatting COVID-19 and future pandemics.
    1. COVID science is being both done and circulated at a furious pace. While it is inspiring to see the research community responding so vigorously to the pandemic crisis, all this activity has also created a churning sea of bad data, conflicting results, and exaggerated headlines. With representations of science becoming increasingly polarized, twisted, and hyped, there is growing concern that the relevant science is being represented to the public in a manner that may cause confusion, inappropriate expectations, and the erosion of public trust. Here we explore some of the key issues associated with the representations of science in the context of the COVID-19 pandemic. Many of these issues are not new. But the COVID-19 pandemic has placed a spotlight on the biomedical research process and amplified the adverse ramifications of poor public communication. We need to do better. As such, we conclude with 10 recommendations aimed at key actors involved in the communication of COVID-19 science, including government, funders, universities, publishers, media, and the research communities.
    1. One piece of the puzzle to prosocial behavior is understanding its underlying cognitive and affective processes. We discuss how modeling behavior in social dilemmas can be expanded by integrating cognitive theories and attention-based models of decision processes, and models of affective influences on prosocial decision-making. We review theories speaking to the interconnections of cognition and affect, identifying the need for further theory development regarding modeling moment-by-moment decision-making processes. We discuss how these theoretical perspectives are mirrored in empirical evidence, drawn from classical outcome-oriented as well as contemporary process-tracing research. Finally, we develop perspectives for future research trajectories aiming to further elucidate the processes by which prosocial decisions are formed, by linking process measures to usually unobservable cognitive and affective reactions.
    1. Online platforms experience a tension between decentralisation and incentives to steer user behaviour, which are usually implemented through digital reputation systems. We provide a statistical characterisation of the user behaviour emerging from the interplay of such competing forces in Stack Overflow, a long-standing knowledge sharing platform. Over the 11 years covered by our analysis, we find that the platform's user base consistently self-organise into specialists and generalists, i.e., users who focus their activity on narrow and broad sets of topics, respectively. We relate the emergence of these behaviours to the platform's reputation system with a series of data-driven models, and find specialisation to be statistically associated with a higher ability to post the best answers to a question. Our findings are in stark contrast with observations made in top-down environments - such as firms and corporations - where generalist skills are consistently found to be more successful.
    1. What is scientific knowledge, and how is it created, accumulated, transformed, and used? If we want to know the answers to these questions, we need to be able to uncover the structures and mechanisms of science, in addition to the metrics that are easily collectable and quantifiable. In this review article, we link metrics to mechanisms, by demonstrating how emerging metrics not only offer complementaries to the existing metrics, but also shed light on the underlying mechanisms related to ten key quantities of interest in the Science of Science, including discovery significance, finding replicability, knowledge cumulativeness, and beyond. We classify existing theories and findings into three fundamental properties of science: hot and cold science, soft and hard science, fast and slow science. We suggest that curiosity about structure and mechanisms of science since Derek J. de Solla Price, Eugene Garfield, Robert K. Merton, and many others complement the zeitgeist in pursuing new, complex metrics without understanding the underlying processes.
    1. What’s the vaccine uptake in pregnancy?Some 80 000 pregnant women in England had received two doses of the covid-19 vaccine up to 31 October, up from 65 000 at the end of August, says the UK Health Security Agency.1 It’s not possible to say what proportion this is of all pregnant women, as England doesn’t collect data linking vaccinations, pregnancies, and births. But data from Public Health Scotland2 showed that only 15% (615/4069) of women who gave birth in August 2021 were fully vaccinated. Only 23% (165/704) of women aged 35-39 who delivered their baby in August 2021 had received two vaccine doses, compared with 71% of all adults aged 30-39 in the general population.
    1. Over the coming days and weeks, scientists from around the world will be sharing early information about the new Omicron variant of SARS-CoV-2. We are two researchers who study the evolution of viruses, and we will be keeping a close eye on the data as it becomes public. This new research will range from laboratory studies investigating how the virus interacts with antibodies to observations of patient outcomes to large-scale data on infections and hospitalizations. The data will try to answer three key questions, all of which are important to understanding the risk of Omicron.
    1. A recent modelling study painted a reassuring picture of a post-pandemic future in which SARS-CoV-2 transitions, over “a few years to a few decades”, from dangerous pathogen to just another common-cold coronavirus. This predicted loss of virulence, the authors stress, is based on a specific idiosyncrasy of the virus, namely that it rarely causes serious disease in children. Still, many experts agreed that we should not be in the least surprised by the authors’ conclusion, as all viruses “become more transmissible and less pathogenic over time”. After all, the seductive logic goes, from an evolutionary perspective it makes no sense for a pathogen to harm the host on which it depends for its survival. According to this reasoning, virulence is little more than a temporary evolutionary imbalance.
    1. Reluctance to accept a COVID-19 booster vaccine was reported in 12 percent of young adults, compared to 8 percent of adults aged 30–59 and 3 percent of adults aged over 60, find UCL researchers as part of the COVID-19 Social Study.
    1. Individuals who interact with each other in social networks often exchange ideas and influence eachother’s opinions. A popular approach to studying the dynamics of opinion spread on networks is byexamining bounded-confidence (BC) models, in which the nodes of a network have continuous-valuedstates that encode their opinions and are receptive to other opinions if they lie within some confidencebound of their own opinion. We extend the Deffuant–Weisbuch (DW) model, which is a well-knownBC model, by studying opinion dynamics that coevolve with network structure. We propose an adaptivevariant of the DW model in which the nodes of a network can (1) alter their opinion when they interactwith a neighboring node and (2) break a connection with a neighbor based on an opinion tolerancethreshold and then form a new connection to a node following the principle of homophily. This opiniontolerance threshold acts as a threshold to determine if the opinions of adjacent nodes are sufficientlydifferent to be viewed as discordant. We find that our adaptive BC model requires a larger confidencebound than the standard DW model for the nodes of a network to achieve a consensus. Interestingly,our model includes regions with ‘pseudo-consensus’ steady states, in which there exist two subclusterswithin an opinion-consensus group that deviate from each other by a small amount. We conduct extensivenumerical simulations of our adaptive BC model and examine the importance of early-time dynamics andnodes with initial moderate opinions for achieving consensus. We also examine the effects of coevolutionon the convergence time of the dynamics.
    1. The pairing of SARS-CoV-2 infection and vaccination against it confers powerful protection, but data from Israel show that that protection gradually declines.
    1. BackgroundMandatory COVID-19 certification (showing vaccination, recent negative test, or proof of recovery) has been introduced in some countries. We aimed to investigate the effect of certification on vaccine uptake.MethodsWe designed a synthetic control model comparing six countries (Denmark, Israel, Italy, France, Germany, and Switzerland) that introduced certification (April–August, 2021), with 19 control countries. Using daily data on cases, deaths, vaccinations, and country-specific information, we produced a counterfactual trend estimating what might have happened in similar circumstances if certificates were not introduced. The main outcome was daily COVID-19 vaccine doses.FindingsCOVID-19 certification led to increased vaccinations 20 days before implementation in anticipation, with a lasting effect up to 40 days after. Countries with pre-intervention uptake that was below average had a more pronounced increase in daily vaccinations compared with those where uptake was already average or higher. In France, doses exceeded 55 672 (95% CI 49 668–73 707) vaccines per million population or, in absolute terms, 3 761 440 (3 355 761–4 979 952) doses before mandatory certification and 72 151 (37 940–114 140) per million population after certification (4 874 857 [2 563 396–7 711 769] doses). We found no effect in countries that already had average uptake (Germany), or an unclear effect when certificates were introduced during a period of limited vaccine supply (Denmark). Increase in uptake was highest for people younger than 30 years after the introduction of certification. Access restrictions linked to certain settings (nightclubs and events with >1000 people) were associated with increased uptake in those younger than 20 years. When certification was extended to broader settings, uptake remained high in the youngest group, but increases were also observed in those aged 30–49 years.InterpretationMandatory COVID-19 certification could increase vaccine uptake, but interpretation and transferability of findings need to be considered in the context of pre-existing levels of vaccine uptake and hesitancy, eligibility changes, and the pandemic trajectory.
    1. At least 8.47bn doses of coronavirus vaccines have been administered around the world, data from 233 locations show.
    1. And most of the admissions in young people are *due to* COVID-19 rather than incidentaal:
    1. For many Americans who scrambled to get vaccinated against COVID-19 as soon as their turn came up, the relief of gaining immunity was just one reward. Achieving “fully vaccinated” status conferred a faint halo of virtue as well.Now, both the shots’ biological protection and the satisfaction of contributing to the herd’s immunity are proving short-lived. And with a worrisome new coronavirus variant threatening to erode vaccine-induced immunity further, health officials are debating whether the definition of “fully vaccinated” should be amended to include a booster shot.
    1. The SARS-CoV-2 omicron variant, first detected in South Africa on 24 November, has now been found in 57 countries. Elisabeth Mahase looks at what we know about it so far, including how well treatments and vaccines work
    1. Recently, the severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) variant B.1.1.529 (Omicron) has been described. Here, we analyze titers of neutralizing antibodies of sera from convalescent or vaccinated individuals against the new B.1.1.529 variant and compared them with titers against other Variants of Concern (B.1.1.7, B.1.351, B.1617.2) using replication competent SARS-CoV-2 variants. We found that sera from vaccinated individuals neutralized the B.1.1.529 variant to a much lesser extent than any other variant analyzed. Neutralization capacity against B.1.1.529 was maintained best against sera from super immune individuals (infected and vaccinated or vaccinated and infected).
    1. Although the COVID-19 crisis is a worldwide threat to individuals’ physical health and psychological well-being, not all people are equally susceptible to increased ill-being. One potentially important factor in individuals’ vulnerability (versus resilience) to ill- being in the face of stress is emotion regulation. On the basis of Self-Determination Theory, this study examined the role of three emotion regulation styles in individuals’ mental health during the COVID-19 crisis, that is, integration, suppression, and dysregulation. Participants were 6584 adults (77 % female, M age = 45.16 years) who filled out well-validated measures of emotion regulation, depression, anxiety, life satisfaction, and sleep quality. To examine naturally occurring combinations of emotion regulation strategies, hierarchical k-means clustering was performed, yielding 3 profiles: (a) low scores on all strategies (indicating rather low overall levels of worry; 27%), (b) high scores on integration only (41%), and (c) high scores on suppression and dysregulation (33%). Participants in the profiles scoring high on suppression and dysregulation displayed a less favorable pattern of outcomes (high ill-being, low life satisfaction, and poorer sleep quality) compared to the other two groups. Between- cluster differences remained significant even when taking into account the corona- related worries experienced by people. Overall, the findings underscore the important role of emotion regulation in individuals’ mental health during mentally challenging periods such as the COVID-19 crisis. Practical implications and directions for future research are discussed.
    1. Now, another group argues such small, weak trials of public health measures can do more harm than good. Writing in Trials last month, the group argues such studies waste funding and time, and can give a dangerous appearance of certainty. Much research “does not lead anywhere that is useful,” says co-author Noah Haber, an independent study design specialist. “It’s noise at best, and it’s misinformation at worst, because it looks like information.” Other researchers, however, think any evidence is better than none.
    1. Objective: To estimate associations between COVID-19 vaccination and Long Covid symptoms in adults who were infected with SARS-CoV-2 prior to vaccination. Design: Observational cohort study using individual-level interrupted time series analysis. Setting: Random sample from the community population of the UK. Participants: 28,356 COVID-19 Infection Survey participants (mean age 46 years, 56% female, 89% white) aged 18 to 69 years who received at least their first vaccination after test-confirmed infection. Main outcome measures: Presence of long Covid symptoms at least 12 weeks after infection over the follow-up period 3 February to 5 September 2021. Results: Median follow-up was 141 days from first vaccination (among all participants) and 67 days from second vaccination (84% of participants). First vaccination was associated with an initial 12.8% decrease (95% confidence interval: -18.6% to -6.6%) in the odds of Long Covid, but increasing by 0.3% (-0.6% to +1.2%) per week after the first dose. Second vaccination was associated with an 8.8% decrease (-14.1% to -3.1%) in the odds of Long Covid, with the odds subsequently decreasing by 0.8% (-1.2% to -0.4%) per week. There was no statistical evidence of heterogeneity in associations between vaccination and Long Covid by socio-demographic characteristics, health status, whether hospitalised with acute COVID-19, vaccine type (adenovirus vector or mRNA), or duration from infection to vaccination. Conclusions: The likelihood of Long Covid symptoms reduced after COVID-19 vaccination, and the improvement was sustained over the follow-up period after the second dose. Vaccination may contribute to a reduction in the population health burden of Long Covid, though longer follow-up time is needed.
    1. Since May 2021, people living in counties that voted heavily for Donald Trump during the last presidential election have been nearly three times as likely to die from COVID-19 as those who live in areas that went for now-President Biden. That's according to a new analysis by NPR that examines how political polarization and misinformation are driving a significant share of the deaths in the pandemic.
    1. Nine new COVID cases recorded, six of whom were in the communityPositive cases visit Currumbin bakery and Elanora shopping centre, more exposure sites due to be listed later todayEnd of primary school graduations cancelled at Broadbeach State School after student tests positive
    1. On Nov 24, South Africa alerted the world to the latest SARS-CoV-2 variant, omicron (B.1.1.529). The omicron variant distinguishes itself from previous variants by harbouring in its genomic sequence 49 mutations (30 of which occur within the spike protein)—a jump from the 13 mutations found within the delta variant (B.1.617.2). More mutations does not intrinsically mean that a variant is more dangerous, but almost immediately omicron generated concern within the global health community regarding its transmissibility and ability to evade both vaccine-induced and natural immunity. The report of the new variant has caused national governments to react with the reintroduction of non-pharmaceutical measures and ramped up vaccine booster programmes in the hope of delaying the spread of omicron. Controversially, however, for some governments the immediate response was to issue travel bans against South Africa. The UK was the first to adopt such a proposal, and was swiftly followed by the USA, Israel, and others.
    1. People believe repeated statements more than new ones; a phenomenon called the repetition-induced truth effect. It is prominently explained with processing fluency: The subjective ease when processing repeated as compared to new information, which is used to infer truth. To date, the role of affective processes for the truth effect is rather unclear. From a theoretical perspective, people should rely more on fluency under positive than under negative affect, which is supported by experimental evidence. In the present study, we tested whether an affective picture presented before a statement influences the repetition-induced truth effect. Thirty-five participants took part in two sessions that were a week apart. In session 1, they rated the truth status of 102 statements. These were repeated in session 2 and intermixed with 102 new statements, and again we collected participants’ truth ratings. Furthermore, each statement was preceded by a positive, negative, or neutral affective picture. We expected participants to rely more on fluency as a cue to truth in the positive than in the negative affective condition. However, while we replicated the repetition-induced truth effect, the interaction between affect and repetition was insignificant, but we observed a significant main effect of affect—statements were rated as truer after a positive rather than a negative or neutral picture, which may be due to different processing modes induced by the affective stimuli. In sum, our results suggest two independent mechanisms that enhance the subjective truth of statements: repetition and positive affect.
    1. As immunisation programmes expand globally, more estimates of a third measure of vaccine performance—vaccine impact—are needed.
    1. Immunological memory is a hallmark of adaptive immunity and facilitates an accelerated and enhanced immune response upon re-infection with the same pathogen1,2. Since the outbreak of the ongoing coronavirus disease 19 (COVID-19) pandemic, a key question has focused on which severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2)-specific T cells stimulated during acute infection give rise to long-lived memory T cells3. Using spectral flow cytometry combined with cellular indexing of transcriptomes and T cell receptor (TCR) sequencing we longitudinally characterize individual SARS-CoV-2-specific CD8+ T cells of COVID-19 patients from acute infection to one year into recovery and find a distinct signature identifying long-lived memory CD8+ T cells. SARS-CoV-2-specific memory CD8+ T cells persisting one year after acute infection express CD45RA, interleukin-7 receptor α (CD127), and T cell factor-1 (TCF1), but they maintain low CCR7, thus resembling CD45RA+ effector-memory T (TEMRA) cells. Tracking individual clones of SARS-CoV-2-specific CD8+ T cells, we reveal that an interferon signature marks clones giving rise to long-lived cells, whereas prolonged proliferation and mammalian target of rapamycin (mTOR) signaling are associated with clonal disappearance from the blood. Collectively, we describe a transcriptional signature that marks long-lived, circulating human memory CD8+ T cells following an acute virus infection.
    1. BackgroundThe emergence of the B.1.617.2 (delta) variant of severe acute respiratory syndrome coronavirus 2 and the reduced effectiveness over time of the BNT162b2 vaccine (Pfizer–BioNTech) led to a resurgence of coronavirus disease 2019 (Covid-19) cases in populations that had been vaccinated early. On July 30, 2021, the Israeli Ministry of Health approved the use of a third dose of BNT162b2 (booster) to cope with this resurgence. Evidence regarding the effectiveness of the booster in lowering mortality due to Covid-19 is still needed. MethodsWe obtained data for all members of Clalit Health Services who were 50 years of age or older at the start of the study and had received two doses of BNT162b2 at least 5 months earlier. The mortality due to Covid-19 among participants who received the booster during the study period (booster group) was compared with that among participants who did not receive the booster (nonbooster group). A Cox proportional-hazards regression model with time-dependent covariates was used to estimate the association of booster status with death due to Covid-19, with adjustment for sociodemographic factors and coexisting conditions. ResultsA total of 843,208 participants met the eligibility criteria, of whom 758,118 (90%) received the booster during the 54-day study period. Death due to Covid-19 occurred in 65 participants in the booster group (0.16 per 100,000 persons per day) and in 137 participants in the nonbooster group (2.98 per 100,000 persons per day). The adjusted hazard ratio for death due to Covid-19 in the booster group, as compared with the nonbooster group, was 0.10 (95% confidence interval, 0.07 to 0.14; P<0.001). ConclusionsParticipants who received a booster at least 5 months after a second dose of BNT162b2 had 90% lower mortality due to Covid-19 than participants who did not receive a booster.
    1. One of the most significant differences is that Omicron does not contain the coronavirus S-gene that is present in most other strains which can be detected in widely used PCRs by many laboratories
    1. Research indicated that emotions experienced in relation to the climate crisis are important predictors of environmental attitudes and behaviours. However, the affective milieu is changing rapidly over the years along with the change in societal appraisal. Thus, more research is required to identify the relevant emotional drives and their contextual impact on governance scenarios. Here we presented respondents with three sets of proposed United Kingdom policies which differ by their extent of reformative aspiration. In a cross-sectional online web survey, respondents (n=260) rated their support (or opposition) for the Conservative Government’s manifesto, the Climate and Ecology Bill (CEE Bill) and the Green New Deal. We asked if distinct emotions linked to the emergency predict the type of policy support, if policy support mediates the relationship between emotions and active engagement (i.e., number of advocacy actions), and if the degree of engagement predicts the type of policy support. Using a combination of linear mixed models and mediation analysis, we found that respondents who reported higher levels of anxiety and worry were generally more prone to support environmental policies. Only respondents who reported the greatest intensity of disappointment were more likely to support the CEE bill. The support expressed for the CEE policies mediated the relationship between active engagement and both worry and disappointment, respectively. Finally, greater active engagement accounted for greater CEE bill support. Our findings dovetail with previous literature and provide new insights into the analysis of the complex relationship between emotions, policy support, and environmental advocacy.
    1. Direct persuasion (providing arguments) is usually a less effective influence technique than self-persuasion (self-creation of arguments). As most young adults are unafraid to contract COVID-19, self-persuasion focused on protecting the health of others may be an effective method of increasing vaccination rates in this population. Thus, empathy seems to be a crucial factor affecting vaccination intentions. We conducted two experiments using the theory of planned behavior. Study 1 (N = 366) compared the effectiveness of self-persuasion targeted at others' health versus personal health and direct persuasion in encouraging COVID-19 vaccination intention. Results indicate that among young adults, self-persuasion targeted at others' health (compared to other forms of persuasion) has an indirect effect on vaccination intention through utility and social norms beliefs. Moreover, as empathy increases, utility, social norms, and control beliefs increase, which is associated with a greater COVID-19 vaccination intention. Study 2 (N = 375) investigated the applicability of self-persuasion in health communication through a poster framed as an open-ended question. We found that the poster with self-persuasion targeted at others’ health, enhanced vaccination intention, compared with a direct persuasion poster. Together, our findings demonstrate the potential of self-persuasion targeted at others' health in increasing COVID-19 vaccination uptake among young adults.
    1. We investigated how the transition to remote instruction amidst the COVID-19 pandemic affected students’ engagement, self-appraisals, and learning in advanced placement (AP) Statistics courses. Participants included 681 (Mage=16.7 years, SDage=.90; %female=55.4) students enrolled in the course during 2017-2018 (N=266), 2018-2019 (N=200), and the pandemic-affected 2019-2020 (N=215) year. Students enrolled during the pandemic-affected year reported a greater improvement in affective engagement but a decrease in cognitive engagement in the spring semester relative to a previous year. Females enrolled in the pandemic-affected year experienced a greater negative change in affective and behavioral engagement. Students enrolled during the pandemic-affected year reported a greater decrease in their anticipated AP exam scores and received lower scores on a practice exam aligned with the AP exam compared to a prior year. Though resilient in some respects, students’ self-appraisal and learning appeared negatively affected by pandemic circumstances.
    1. Purpose While lockdowns are essential in fighting the COVID-19 pandemic, school closures may increase risk of loneliness in adolescents. In this paper, we investigate how lockdown affects loneliness in adolescents and potential protective factors. Methods This study examines 768 young people in Scotland age 12 to 17, who took part in TeenCovidLife surveys during and after the first national lockdown in 2020. Survey 1 ran from May to July 2020, during the first school closures period. Survey 2 ran from August to October 2020, after schools reopened for most pupils. Participants reported current loneliness and pre-pandemic loneliness. Participants also completed self-report measures of resilience and social support. Results Loneliness increased from pre-pandemic levels during lockdown and then decreased when restrictions eased. However, loneliness remained significantly higher post-lockdown compared to pre-pandemic. Predictors of loneliness were assessed with ordinal logistic regression. Greater resilience was associated with lower loneliness at all stages of lockdown, but older teens were more likely to be lonely post-lockdown. Greater peer support was associated with lower loneliness before lockdown. However, during lockdown, family support was associated with lower loneliness. After schools re-opened, participants with greater social support from school staff were 15% less likely to be lonely. Conclusion Loneliness was higher during lockdown than before lockdown. Moreover, loneliness remained higher after lockdown than before lockdown. However, resilience and social support in school may protect against this lingering loneliness. Resilience training and school-based social support programmes may reduce the long-term effects of lockdown on well-being in young people.
    1. Despite widespread communication of the health risks associated with the COVID-19 virus, many Americans underestimated its risks and were antagonistic regarding preventative measures. Political partisanship has been linked to diverging attitudes towards the virus, but the cognitive processes underlying this divergence remain unclear. Bayesian models fit to data gathered through two preregistered, online surveys administered before (March 13, 2020, N = 850) and during the first-wave (April-May, 2020, N = 1610) of cases in the United States, reveal two preexisting forms of distrust––distrust in Democratic politicians and in medical scientists––that drove initial skepticism about the virus. During the first-wave of cases, additional factors came into play, suggesting that skeptical attitudes became more deeply embedded within a complex network of auxiliary beliefs. These findings highlight how mechanisms that enhance cognitive coherence can drive anti-science attitudes.
    1. The SARS-CoV-2 pandemic has been the worst infectious disease outbreak in the U.S. in over 100 years and was associated with the deaths of over 500,000 people in the U.S. within its first year alone. This public health challenge is additionally affected by public scepticism over the severity of the disease, or even its existence in many countries, including the U.S. Previous research has shown that this scepticism is politically skewed in the U.S., with conservatives more likely to downplay or deny the risks of the virus. Such polarisation has been led by elite cues, including the President of the U.S. at one point describing the virus as a ‘hoax’. However, the subsequent hospitalisation of President Trump with COVID-19 in October 2020 served as a high-profile exemplar of the reality and risks of the virus, and as such may have influenced opinions, particularly for U.S. conservatives. The current research draws on two studies, both of which serendipitously surveyed independent representative U.S. samples before and shortly after the announcement of Trump’s illness. In Study 1, measuring risk perceptions of the virus, we find that, controlling for sociodemographic factors, participants surveyed before and after the announcement did not differ in their risk perception regardless of political orientation. However, in Study 2, measuring belief that the virus is a hoax, we find that among those on the far right of the political spectrum, such a belief was lower for those surveyed after the announcement, suggesting that Trump’s hospitalisation may have changed the beliefs of those most receptive to the President’s earlier claims of the virus being a hoax.
    1. Background: Since the initial phases of vaccination campaigns, health authorities across the world have recommended vaccination of children between 15 and 18; and since the summer of 2021, vaccinations of children between 12 and 15 have been recommended. Recently, American and European Health Authorities have approved the use of a vaccine against COVID-19 for children between age 5 and 11. In this article, we ask what predicts parents’ intention to vaccinate their children against COVID-19. Methods: We use empirical data from a large-scale survey in Denmark about vaccine intentions. The survey included a subsample of 794 parents to children aged 6-15. For this group of parents, we assess key predictors (including demographics, predispositions, vaccine perceptions, and vaccine barriers) of parents’ acceptance of a vaccine for their child against COVID-19. Results: We propose that the vaccine decision follows a stepwise process: demographic variables shape parents’ predispositions, which again shape their specific perceptions of the safety and effectiveness - both in general and for their children - of the particular vaccine. Moreover, we argue that vaccine barriers will moderate this process. Our results demonstrate that parents’ intention to get their children vaccinated against COVID-19 is not driven by considerations regarding the disease of COVID-19 but by considerations of the safety of vaccines and added benefits of vaccination such as normalizing societal and everyday life. The balance of these considerations shift depending on the child's age, with lower acceptance for younger children. Furthermore, the content of considerations are shaped by trust in the health authorities and factual vaccine knowledge. Conclusion: To increase parents' acceptance of a COVID-19 vaccine for their children, health authorities should focus on establishing and communicating evidence for the safety of vaccines and the impact of vaccination for their everyday lives.
    1. A lot is still unknown around Omicron, but a worrying trend has become clear: This variant sure is spreading fast. In South Africa, the U.K., and Denmark—countries with the best variant surveillance and high immunity against COVID—Omicron cases are growing exponentially. The variant has outcompeted the already highly transmissible Delta in South Africa and may soon do the same elsewhere. According to preliminary estimates, every person with Omicron is infecting 3–3.5 others, which is roughly on par with how fast the coronavirus spread when it first went global in early 2020.
    1. 64 of 150 people tested positive for Omicron after a Christmas lunch, authorities told Insider. More than 1,000 more were potentially exposed after the November 27 event, Danish officials said.  It is not yet clear how transmissible Omicron is or whether it causes more severe symptoms.
    1. The data are growing that booster jabs enhance protection — but their durability, impact and ability to quash the new variant are unknown.
    1. The two hippos at Antwerp Zoo tested positive for the coronavirus after a vet noticed their noses were "expelling snot." The huge animals, who are mother and daughter, are not in great peril.
    1. Halting the spread of the coronavirus will require a high-level counteroffensive against new destructive forces.
    1. Background Saliva is an attractive sample for detecting SARS-CoV-2 because it is easy to collect and minimally invasive. However, contradictory reports exist concerning the sensitivity of saliva versus nasal swabs.Methods We recruited and followed close contacts of COVID-19 cases for up to 14 days from their last exposure and collected self-reported symptoms, mid-turbinate swabs (MTS) and saliva every two or three days. Ct values and frequency of viral detection by MTS and saliva were compared. Logistic regression was used to estimate the probability of detection by days since symptom onset for the two sample types.Results We enrolled 58 contacts who provided a total of 200 saliva and MTS sample pairs; 14 contacts (13 with symptoms) had one or more positive samples. Overall, saliva and MTS had similar rates of viral detection (p=0.78). Although Ct values for saliva were significantly greater than for MTS (p=0.014), Cohen’s Kappa demonstrated substantial agreement (κ=0.83). However, sensitivity varied significantly with time relative to symptom onset. Early in the course of infection (days -3 to 2), saliva had 12 times (95%CI: 1.2, 130) greater likelihood of detecting viral RNA compared to MTS. After day 2, there was a non-significant trend to greater sensitivity using MTS samples.Conclusion Saliva and MTS specimens demonstrated high agreement, making saliva a suitable alternative to MTS nasal swabs for COVID-19 detection. Furthermore, saliva was more sensitive than MTS early in the course of infection, suggesting that it may be a superior and cost-effective screening tool for COVID-19.Key PointsSaliva is more sensitive in detecting symptomatic cases of COVID-19 than MTS early in the course of infection.Saliva performs best in the pre-symptomatic period.Saliva and MTS demonstrated high agreement making saliva a suitable and cost-effective COVID-19 screening tool.
    1. Breakthrough infections with severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) in fully vaccinated individuals are receiving intense scrutiny because of their importance in determining how long restrictions to control virus transmission will need to remain in place in highly vaccinated populations as well as in determining the need for additional vaccine doses or changes to the vaccine formulations and/or dosing intervals. Measurement of breakthrough infections is challenging outside of randomized, placebo-controlled, double-blind field trials. However, laboratory and observational studies are necessary to understand the impact of waning immunity, viral variants and other determinants of changing vaccine effectiveness against various levels of coronavirus disease 2019 (COVID-19) severity. Here, we describe the approaches being used to measure vaccine effectiveness and provide a synthesis of the burgeoning literature on the determinants of vaccine effectiveness and breakthrough rates. We argue that, rather than trying to tease apart the contributions of factors such as age, viral variants and time since vaccination, the rates of breakthrough infection are best seen as a consequence of the level of immunity at any moment in an individual, the variant to which that individual is exposed and the severity of disease being considered. We also address key open questions concerning the transition to endemicity, the potential need for altered vaccine formulations to track viral variants, the need to identify immune correlates of protection, and the public health challenges of using various tools to counter breakthrough infections, including boosters in an era of global vaccine shortages.
    1. “Immune boosting” is a trending topic during the COVID-19 pandemic. The concept of “immune boosting” is scientifically misleading and often used to market unproven products and therapies. This paper presents an analysis of popular immune-boosting posts from Instagram. Of the sampled posts, all promoted “immune boosting” as beneficial, nearly all involved commercial interests, and many used scientific and medical rhetoric in their messaging.
    1. T cell immunity is central for the control of viral infections. CoVac-1 is a peptide-based vaccine candidate, composed of SARS-CoV-2 T cell epitopes derived from various viral proteins1,2, combined with the Toll-like receptor 1/2 agonist XS15 emulsified in Montanide ISA51 VG, aiming to induce profound SARS-CoV-2 T cell immunity to combat COVID-19. We conducted a phase I open-label trial, recruiting 36 participants aged 18 to 80 years, who received one single subcutaneous CoVac-1 vaccination. The primary endpoint was safety analysed until day 56. Immunogenicity in terms of CoVac-1-induced T-cell response was analysed as main secondary endpoint until day 28 and in the follow-up until month 3. No serious adverse events and no grade 4 adverse events were observed. Expected local granuloma formation was observed in all study subjects, while systemic reactogenicity was absent or mild. SARS-CoV-2-specific T cell responses targeting multiple vaccine peptides were induced in all study participants, mediated by multifunctional T-helper 1 CD4+ and CD8+ T cells. CoVac-1-induced interferon-γ T cell responses persisted in the follow-up analyses and surpassed those detected after SARS-CoV-2 infection as well as after vaccination with approved vaccines. Furthermore, vaccine-induced T- cell responses were unaffected by current SARS-CoV-2 variants of concern (VOC). Together, CoVac-1 showed a favourable safety profile and induced broad, potent and VOC-independent T- cell responses, supporting the presently ongoing evaluation in a phase II trial for patients with B cell/antibody deficiency. Download PDF
    1. Although vaccination against SARS-CoV-2 is considered the central strategy against the pandemic, uptake lags behind target rates. To explore whether this rate could be enhanced by a nudging strategy that exploits the status quo bias, we conducted a randomized controlled study in northern Italy comparing vaccination acceptance among 2,000 adults aged 50-59 who were either invited to set an appointment (opt-in group) or assigned an individual appointment (opt-out group). Results indicate an increase in vaccination rate for the opt-out group compared to the opt-in group of 3.2 percentage points — a 32% relative increase. This suggests that a significant portion of those who remain unvaccinated may not hold strong beliefs against vaccination, but rather tend to inaction and may therefore be nudged toward vaccination with a reduction of action required.
    1. THL recommends coronavirus vaccinations for at-risk children aged 5 to 11 years, for the entire age group require more information on safety 3 Dec 2021 Finnish Institute for Health and Welfare (THL) recommends starting coronavirus vaccinations for children aged 5 to 11 years who belong to risk groups as soon as vaccines are available.
    1. There is ample evidence that masking and social distancing are effective in reducing severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) transmission. However, due to the complexity of airborne disease transmission, it is difficult to quantify their effectiveness, especially in the case of one-to-one exposure. Here, we introduce the concept of an upper bound for one-to-one exposure to infectious human respiratory particles and apply it to SARS-CoV-2. To calculate exposure and infection risk, we use a comprehensive database on respiratory particle size distribution; exhalation flow physics; leakage from face masks of various types and fits measured on human subjects; consideration of ambient particle shrinkage due to evaporation; and rehydration, inhalability, and deposition in the susceptible airways. We find, for a typical SARS-CoV-2 viral load and infectious dose, that social distancing alone, even at 3.0 m between two speaking individuals, leads to an upper bound of 90% for risk of infection after a few minutes. If only the susceptible wears a face mask with infectious speaking at a distance of 1.5 m, the upper bound drops very significantly; that is, with a surgical mask, the upper bound reaches 90% after 30 min, and, with an FFP2 mask, it remains at about 20% even after 1 h. When both wear a surgical mask, while the infectious is speaking, the very conservative upper bound remains below 30% after 1 h, but, when both wear a well-fitting FFP2 mask, it is 0.4%. We conclude that wearing appropriate masks in the community provides excellent protection for others and oneself, and makes social distancing less important.