3,732 Matching Annotations
  1. May 2021
    1. 2021-03-22

    2. Sanders, J. G., Tosi, A., Obradovic, S., Miligi, I., & Delaney, L. (2021). Lessons from lockdown: Media discourse on the role of behavioural science in the UK COVID-19 response. Frontiers in Psychology, 12. https://doi.org/10.3389/fpsyg.2021.647348

    3. 10.3389/fpsyg.2021.647348
    4. In recent years behavioural science has quickly become embedded in national level governance. As the contributions of behavioural science to the UK’s COVID-19 response policies in early 2020 became apparent, a debate emerged in the British media about its involvement. This served as a unique opportunity to capture public discourse and representation of behavioural science in this fast-track, high-stake context. Aimed at identifying elements which foster and detract from trust and credibility in emergent scientific contributions to policy making, in Study 1 we use corpus linguistics and network analysis to map the narrative around the key behavioural science actors and concepts which were discussed in the 647 news articles extracted from the 15 most read British newspapers over the 12-week period surrounding the first hard UK lockdown of 2020. We report and discuss 1) the salience of key concepts and actors as the debate unfolded, 2) quantified changes in the polarity of the sentiment expressed toward them and their policy application contexts, and 3) patterns of co-occurrence via network analyses. To establish public discourse surrounding identified themes, in Study 2 we investigate how salience and sentiment of key themes and relations to policy on original Twitter chatter (N = 2,187). In Study 3, we complement these findings with a qualitative analysis of the subset of news articles which contained the most extreme sentiments (N = 111), providing an in-depth perspective of sentiments and discourse developed around keywords, as either promoting or undermining their credibility in, and trust toward behaviourally informed policy. We discuss our findings in light of the integration of behavioural science in national policy making under emergency constraints.
    5. Lessons from lockdown: Media discourse on the role of behavioural science in the UK COVID-19 response
    1. 2021-04-16

    2. Will the UK’s decision to offer an alternative to the Oxford/AstraZeneca covid-19 vaccine for under-30s, following safety signals, impact vaccine up-take, ask Pauline Paterson and Ed Pertwee 
    3. How will covid-19 vaccine safety concerns impact vaccine confidence?
    1. 2021-04-15

    2. Prof. Christina Pagel. (2021, April 15). THREAD on VACCINATION & EQUITY in ENGLAND: I know I’ve tweeted about this before, but now we can look at how gaps by deprivation and ethnicity change with age groups and what that might mean... TLDR: widening gaps but access and communication will be key I suspect 1/5 [Tweet]. @chrischirp. https://twitter.com/chrischirp/status/1382725119773134848

    3. What to do about it? Govt needs to keep communication why vaccines are important and that they are safe. AND we need to make it as easy as possible for people to get them - esp people unable to get during working day or unable to travel far. 5/5
    4. Another general trend - all groups seeing lower coverage at younger ages. Even the highest group (least deprived) is not over 90% for the 50-54 group. Is this trend likely to continue as we vaccinate younger cohorts - particularly with worried about side effects? 4/5
    5. By ethnicity: Much larger gaps for all age groups by ethnicity but less impact by age. Different but overlapping reasons driving ethnicity gaps compared to deprivation gaps? 3/5
    6. By deprivation: Vax coverage gaps *widen* markedly as we move to young ager groups. This is not just a time effect - coverage has flattened off for all these age groups. Access (able to leave work to get vaccinated, travel, internet access) & communication likely issues 2/5
    7. THREAD on VACCINATION & EQUITY in ENGLAND: I know I've tweeted about this before, but now we can look at how gaps by deprivation and ethnicity change with age groups and what that might mean... TLDR: widening gaps but access and communication will be key I suspect 1/5
    8. 2021-04-14

    9. Ben Wakana. (2021, April 14). NEW POLL: The J&J pause makes people more confident in vaccines, not less. M-O-R-E C-O-N-F-I-D-E-N-T https://t.co/bqe6bTBwiR [Tweet]. @benwakana46. https://twitter.com/benwakana46/status/1382436908689657867

    10. NEW POLL: The J&J pause makes people *more confident* in vaccines, not less. M-O-R-E C-O-N-F-I-D-E-N-T
    1. 2021-04-30

    2. Lawrence Gostin. (2021, April 30). Insightful talk by @doctorsoumya @P4HR webinar on #VaccinePassports @WHO is developing smart Int’l Vaccine Certificates Proof of vac Confidential & Secure Open Access Interoperable But @WHO doesn’t support requiring vacs for int’l travel until the world is more equal [Tweet]. @lawrencegostin. https://twitter.com/lawrencegostin/status/1388215713328943104

    3. Insightful talk by @doctorsoumya @P4HR webinar on #VaccinePassports @WHO is developing smart Int'l Vaccine Certificates * Proof of vac * Confidential & Secure * Open Access * Interoperable But @WHO doesn't support requiring vacs for int'l travel until the world is more equal
    1. 2021-04-28

    2. We study how publicity in the science press, in the form of highlighting, affects the citations of research papers. Using multiple linear regression, we quantify the citation advantage associated with several highlighting platforms for papers published in Physical Review Letters (PRL) from 2008-2018. We thus find that the strongest predictor of citation accrual is a Viewpoint in Physics magazine, followed by a Research Highlight in Nature, an Editors' Suggestion in PRL, and a Research Highlight in Nature Physics. A similar hierarchical pattern is found when we search for extreme, not average, citation accrual, in the form a paper being listed among the top-1% cited papers in physics by Clarivate Analytics. The citation advantage of each highlighting platform is stratified according to the degree of vetting for importance that the manuscript received during peer review. This implies that we can view highlighting platforms as predictors of citation accrual, with varying degrees of strength that mirror each platform's vetting level.
    3. Does Publicity in the Science Press Drive Citations?
    1. 2021-05-03

    2. Brains On! (2021, May 3). What does 95% effective mean for a vaccine? We head to a stadium to learn! Warning: There are seagulls overhead! (Big thanks to @mariasundaram for help with this video!) Learn more about the #vaccines find family-friendly #coronavirus explainers at https://t.co/Zo9nORLEdI https://t.co/erPYnoKuZC [Tweet]. @Brains_On. https://twitter.com/Brains_On/status/1389293681669152769

    3. What does 95% effective mean for a vaccine? We head to a stadium to learn! Warning: There are seagulls overhead! (Big thanks to @mariasundaram for help with this video!) Learn more about the #vaccines find family-friendly #coronavirus explainers at http://BrainsOn.org/Coronavirus
    1. 2021-04-28

    2. Facebook announced a community review program in December 2019 and Twitter launched a community-based platform to address misinformation, called Birdwatch, in January 2021. We provide an overview of the potential affordances of such community based approaches to content moderation based on past research. While our analysis generally supports a community-based approach to content moderation, it also warns against potential pitfalls, particularly when the implementation of the new infrastructures does not promote diversity. We call for more multidisciplinary research utilizing methods from complex systems studies, behavioural sociology, and computational social science to advance the research on crowd-based content moderation.
    3. Can the Wikipedia moderation model rescue the social marketplace of ideas?
    1. 2021-05-13

    2. ReconfigBehSci on Twitter: ‘am I the only one discomfited by the fact that US teenagers are being vaccinated while an out of control pandemic rages in India and Nepal? I would have expected more discussion of this!’ / Twitter. (n.d.). Retrieved 14 May 2021, from https://twitter.com/SciBeh/status/1392852883410849796

    3. am I the only one discomfited by the fact that US teenagers are being vaccinated while an out of control pandemic rages in India and Nepal? I would have expected more discussion of this!
    1. 2021-05-07

    2. Pavelka, M., Van-Zandvoort, K., Abbott, S., Sherratt, K., Majdan, M., Group†, C. C.-19 working, Analýz†, I. Z., Jarčuška, P., Krajčí, M., Flasche, S., & Funk, S. (2021). The impact of population-wide rapid antigen testing on SARS-CoV-2 prevalence in Slovakia. Science, 372(6542), 635–641. https://doi.org/10.1126/science.abf9648

    3. 10.1126/science.abf9648
    4. Slovakia conducted multiple rounds of population-wide rapid antigen testing for severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) in late 2020, combined with a period of additional contact restrictions. Observed prevalence decreased by 58% (95% confidence interval: 57 to 58%) within 1 week in the 45 counties that were subject to two rounds of mass testing, an estimate that remained robust when adjusting for multiple potential confounders. Adjusting for epidemic growth of 4.4% (1.1 to 6.9%) per day preceding the mass testing campaign, the estimated decrease in prevalence compared with a scenario of unmitigated growth was 70% (67 to 73%). Modeling indicated that this decrease could not be explained solely by infection control measures but required the addition of the isolation and quarantine of household members of those testing positive.
    5. The impact of population-wide rapid antigen testing on SARS-CoV-2 prevalence in Slovakia
    1. 2021-05-25

    2. Geng, X., Katul, G. G., Gerges, F., Bou-Zeid, E., Nassif, H., & Boufadel, M. C. (2021). A kernel-modulated SIR model for Covid-19 contagious spread from county to continent. Proceedings of the National Academy of Sciences, 118(21). https://doi.org/10.1073/pnas.2023321118

    3. 10.1073/pnas.2023321118
    4. The tempo-spatial patterns of Covid-19 infections are a result of nested personal, societal, and political decisions that involve complicated epidemiological dynamics across overlapping spatial scales. High infection “hotspots” interspersed within regions where infections remained sporadic were ubiquitous early in the outbreak, but the spatial signature of the infection evolved to affect most regions equally, albeit with distinct temporal patterns. The sparseness of Covid-19 infections in the United States was analyzed at scales spanning from 10 to 2,600 km (county to continental scale). Spatial evolution of Covid-19 cases in the United States followed multifractal scaling. A rapid increase in the spatial correlation was identified early in the outbreak (March to April). Then, the increase continued at a slower rate and approached the spatial correlation of human population. Instead of adopting agent-based models that require tracking of individuals, a kernel-modulated approach is developed to characterize the dynamic spreading of disease in a multifractal distributed susceptible population. Multiphase Covid-19 epidemics were reasonably reproduced by the proposed kernel-modulated susceptible–infectious–recovered (SIR) model. The work explained the fact that while the reproduction number was reduced due to nonpharmaceutical interventions (e.g., masks, social distancing, etc.), subsequent multiple epidemic waves still occurred; this was due to an increase in susceptible population flow following a relaxation of travel restrictions and corollary stay-at-home orders. This study provides an original interpretation of Covid-19 spread together with a pragmatic approach that can be imminently used to capture the spatial intermittency at all epidemiologically relevant scales while preserving the “disordered” spatial pattern of infectious cases.
    5. A kernel-modulated SIR model for Covid-19 contagious spread from county to continent
    1. 10.1136/bmj.n1108
    2. 2021-05-06

    3. Journals risk being used in place of regulators when they publish studies of novel vaccines that have not yet been authorised by a major regulator. Chris van Tulleken argues that peer review is inadequate to decide the risk-benefit ratio of new drugsIn August 2020 President Vladimir Putin announced Sputnik V, a vaccine developed by Russia’s Gamaleya National Center of Epidemiology and Microbiology. The president’s claim that it had gone through “all the necessary trials”1 did not seem to be backed up by the information on the Russian language registration certificate, which said that just 38 participants had received the vaccine.2International responses ranged from concern to derision. By granting approval to a vaccine before results from large phase III randomised trials were available, the Russian government seemed to be taking two immense risks. The first was a risk of direct harm to large numbers of people. Bad vaccines don’t just fail to protect, they might have serious adverse effects including making subsequent infection more dangerous through antibody associated disease enhancement, a phenomenon previously seen with SARS and MERS coronaviruses.3 Second, if people were harmed, public confidence in the vaccination programme and future investment in covid-19 vaccine development and uptake might be jeopardised. Trust in vaccines is easily bruised and recovers slowly.In September 2020, the first peer reviewed Sputnik V data were published in the Lancet: two non-randomised, open label studies, each of 38 people. No serious adverse events were reported, and the vaccine seemed to induce robust immune responses in participants.4
    4. Covid-19: Sputnik vaccine rockets, thanks to Lancet boost
    1. 2021-05-11

    2. If you are pregnant, you can receive a COVID-19 vaccine. There is currently no evidence that any vaccines, including COVID-19 vaccines, cause fertility problems. However, data are limited about the safety of COVID-19 vaccines for people who are pregnant. CDC established the v-safe COVID-19 Vaccine Pregnancy Registry to learn more about this issue. The registry is collecting health information from people who received COVID-19 vaccination in the periconception period (within 30 days before last menstrual period) or during pregnancy. The information is critical to helping people and their healthcare providers make informed decisions about COVID-19 vaccination. Participation is voluntary, and participants may opt out at any time.
    3. V-safe COVID-19 Vaccine Pregnancy Registry
    1. Howard, J., Huang, A., Li, Z., Tufekci, Z., Zdimal, V., Westhuizen, H.-M. van der, Delft, A. von, Price, A., Fridman, L., Tang, L.-H., Tang, V., Watson, G. L., Bax, C. E., Shaikh, R., Questier, F., Hernandez, D., Chu, L. F., Ramirez, C. M., & Rimoin, A. W. (2021). An evidence review of face masks against COVID-19. Proceedings of the National Academy of Sciences, 118(4). https://doi.org/10.1073/pnas.2014564118

    1. David Benkeser. (2020, November 9). Another view on uncertainty associated based on Pfizer’s results. Even if you were highly skeptical about MRNA vaccines (many are [were?]) with 50% prior belief that VE ~ 0, based on an 8:86 vax:placebo case split, the posterior probability that VE > 75% is ~ 1. Https://t.co/xtBONtGHmT [Tweet]. @biosbenk. https://twitter.com/biosbenk/status/1325856366225993729

    1. ReconfigBehSci on Twitter: ‘@JAndreen @ErikAngner details about human contact networks matter, as epidemiologists pointed out last spring. Https://t.co/DC5FoW5ChY If you think I am wrong about the relevant parameters for Sweden, I’d love to hear more. One place to start is saying how it differs from other Nordic countries’ / Twitter. (n.d.). Retrieved 21 February 2021, from https://twitter.com/SciBeh/status/1362757183121854466

    1. ReconfigBehSci. (2021, February 18). @ErikAngner I thought I joined the ‘conversation’ at the top- did I miss part of a prior thread? Post I responded to seemed to be the beginning of a thread...ie. ‘regular reminder that...’ [Tweet]. @SciBeh. https://twitter.com/SciBeh/status/1362385973603168257

    1. ReconfigBehSci. (2020, November 18). @danielmabuse yes, we all make mistakes, but a responsible actor also factors the kinds of mistakes she is prone to making into decisions on what actions to take: I’m not that great with my hands, so I never contemplated being a neuro-surgeon. Not everyone should be a public voice on COVID [Tweet]. @SciBeh. https://twitter.com/SciBeh/status/1329002783094296577

    1. Darren Dahly. (2021, February 24). @SciBeh One thought is that we generally don’t ‘press’ strangers or even colleagues in face to face conversations, and when we do, it’s usually perceived as pretty aggressive. Not sure why anyone would expect it to work better on twitter. Https://t.co/r94i22mP9Q [Tweet]. @statsepi. https://twitter.com/statsepi/status/1364482411803906048

    1. Erik Angner. (2021, February 17). One point that the pandemic has brought home to me is just how narrow people’s expertise is. I’m regularly surprised by how a celebrated professor of X can exhibit a sub-college-level understanding of Y, even when X and Y are related. /1 [Tweet]. @ErikAngner. https://twitter.com/ErikAngner/status/1362006859004141570

    1. The Last Crusidual. (2021, February 2). @SciBeh @MichaelPaulEdw1 @ToddHorowitz3 @richarddmorey you can’t have any form of evidence. If you concider any form of evidence, than what is talked about than isn’t anymore what the falacy sais. [Tweet]. @islaut1. https://twitter.com/islaut1/status/1356529266519924736

    1. Jed Kolko. (2021, February 8). Nice healthy jump in @indeed US job postings: +2.4% above pre-pandemic baseline as of Feb 5. Was +0.7% one week earlier, on Jan 29. Accelerating improvement! 1.7 %pt weekly gain is similar to last summer’s recovery pace. (Just a chart this week, no blogpost.) https://t.co/62FENliwdD [Tweet]. @JedKolko. https://twitter.com/JedKolko/status/1358887964697264132

    1. Tanya Hannaford, M.Ed. (2021, February 6). I’ve been teaching face to face all school year, and I’m here to tell you: Face to face instruction doesn’t = better mental health for students. They’re all still struggling. Because it’s a pandemic. [Tweet]. @WritingWoman7. https://twitter.com/WritingWoman7/status/1358052392378507266

    1. Robert Colvile. (2021, February 16). The vaccine passports debate is a perfect illustration of my new working theory: That the most important part of modern government, and its most important limitation, is database management. Please stick with me on this—It’s much more interesting than it sounds. (1/?) [Tweet]. @rcolvile. https://twitter.com/rcolvile/status/1361673425140543490

    1. Eric Topol. (2021, February 17). New reports @NEJM today confirming some immune evasion of the B.1.351 variant (identified in South Africa) to both the mRNA vaccines, in vitro data @BioNTech_Group/@Pfizer and @moderna_tx. Less vaccine efficacy vs B.1.351 has been confirmed in clinical trials for 3 vaccines https://t.co/2N7eKDllso [Tweet]. @EricTopol. https://twitter.com/EricTopol/status/1362160675913568256

    1. ReconfigBehSci on Twitter: ‘@taylorgrayson @skepticscience @ClimateOfGavin @kostas_exarhia I guess this depends on what kind of misinformation/’conspiracy" you are faced with. In the context of climate denial, there is evidence that understanding of expert consensus can impact belief @STWOrg" / Twitter. (n.d.). Retrieved 19 February 2021, from https://twitter.com/SciBeh/status/1361608256486047748

    1. Ashish K. Jha, MD, MPH. (2020, December 1). There is something funny happening with COVID hospitalizations Proportion of COVID pts getting hospitalized falling A lot Just recently My theory? As hospitals fill up, bar for admission rising A patient who might have been admitted 4 weeks ago may get sent home now Thread [Tweet]. @ashishkjha. https://twitter.com/ashishkjha/status/1333636841271078912

    1. ReconfigBehSci on Twitter: ‘German Twitter ablaze with a hashtag battle expressing support for a prominent scientific voice in pandemic public debate (....#TeamDrosten) ....a year ago, I thought the public role of science would be challenging, but that’s not a level a saw coming...’ / Twitter. (n.d.). Retrieved 17 February 2021, from https://twitter.com/SciBeh/status/1361611123129266178

    1. (((Howard Forman))). (2020, November 24). Truly good news out of #Italy. And we can all use it. Cases (23K), positive rate (12.3%), and hospitalizations all DOWN. ICU occupancy with smallest increase in months. Deaths (not surprisingly) the one exception with 3rd highest total. Https://t.co/YFh5nd2AXX [Tweet]. @thehowie. https://twitter.com/thehowie/status/1331311384626388994

    1. ReconfigBehSci on Twitter: ‘the SciBeh initiative is about bringing knowledge to policy makers and the general public, but I have to say this advert I just came across worries me: Where are the preceding data integrity and data analysis classes? Https://t.co/5LwkC1SVyF’ / Twitter. (n.d.). Retrieved 18 February 2021, from https://twitter.com/SciBeh/status/1362344945697308674

    1. Dr Zoë Hyde. (2021, February 23). I don’t like to dwell on negatives, but something important happened recently that I’d like to make public. Shortly before Christmas, @mugecevik made a complaint to my university about me. When asked for details, she didn’t provide any. My employer took a dim view of the matter. [Tweet]. @DrZoeHyde. https://twitter.com/DrZoeHyde/status/1364184623262048259