- Jun 2021
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twitter.com twitter.com
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Madhu Pai, MD, PhD on Twitter: “#COVID19 surge in Uganda looks ominous Vaccine coverage = 1.5% with 1 dose https://t.co/TRAjEVC59U” / Twitter. (n.d.). Retrieved June 7, 2021, from https://twitter.com/paimadhu/status/1401010082884853768
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www.theguardian.com www.theguardian.com
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UK tightens borders and travel rules as variants spark new alarm | Coronavirus | The Guardian. (n.d.). Retrieved June 5, 2021, from https://www.theguardian.com/world/2021/jun/03/concern-over-delta-covid-variant-tightens-borders-of-uk
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- May 2021
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www.eventbrite.com www.eventbrite.com
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Data Collection and Integration to Enhance Public Health Registration, Thu, Jun 10, 2021 at 1:00 PM | Eventbrite. (n.d.). Retrieved May 28, 2021, from https://www.eventbrite.com/e/data-collection-and-integration-to-enhance-public-health-registration-156146370999
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Wang, C. J. (2021). Contact-tracing app curbed the spread of COVID in England and Wales. Nature, d41586-021-01354–01358. https://doi.org/10.1038/d41586-021-01354-8
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arxiv.org arxiv.org
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Mizutaka, S., Mori, K., & Hasegawa, T. (2021). Synergistic epidemic spreading in correlated networks. ArXiv:2105.08992 [Physics, q-Bio]. http://arxiv.org/abs/2105.08992
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www.frontiersin.org www.frontiersin.org
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Gu, T., Wang, L., Xie, N., Meng, X., Li, Z., Postlethwaite, A. E., Aleya, L., Howard, S., Gu, W., & Wang, Y. (2021). Towards a country-based prediction model of COVID-19 infections and deaths between disease apex and end: -Evidence from countries with contained numbers of COVID-19. Frontiers in Medicine, 8. https://doi.org/10.3389/fmed.2021.585115
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twitter.com twitter.com
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Prof. Christina Pagel on Twitter: “SHORT THREAD: I was on Sky News earlier where I explained why I thought test 4 (new variant test) for the next stage of the roadmap had not been met, because of B.1.617.2 (the so called ‘Indian’ variant of concern). 1/5 https://t.co/0O3dL2saOR” / Twitter. (n.d.). Retrieved May 17, 2021, from https://twitter.com/chrischirp/status/1392927819504701441
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www.theguardian.com www.theguardian.com
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the Guardian. “How Good Are We at Predicting the Pandemic? | David Spiegelhalter & Anthony Masters,” May 9, 2021. http://www.theguardian.com/theobserver/commentisfree/2021/may/09/how-good-are-we-at-predicting-pandemic.
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www.nature.com www.nature.com
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Maxmen, A. (2021). Will COVID force public health to confront America’s epic inequality?. Nature, 592(7856), 674-680.
Tags
- agricultural worker
- healthcare
- mortality
- inequality
- Centers for Disease Control and Prevention
- research
- agriculture
- life expectancy
- public health
- income inequality
- intervention
- is:article
- immigration
- COVID-19
- government
- essential worker
- wage gap
- USA
- prediction
- health
- CDC
- health disparity
- lang:en
- economy
- California
- poverty
- COVID-19 Equity Project
Annotators
URL
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www.ncbi.nlm.nih.gov www.ncbi.nlm.nih.gov
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Li, S., Sim, S.-C., Lee, L., Pollack, H. J., Wyatt, L. C., Trinh-Shevrin, C., Pong, P., & Kwon, S. C. (2017). Hepatitis B Screening and Vaccination Behaviors among a Community-based Sample of Chinese and Korean Americans in New York City. American Journal of Health Behavior, 41(2), 204–214. https://doi.org/10.5993/AJHB.41.2.12
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psyarxiv.com psyarxiv.com
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Leblanc-Sirois, Y., Gagnon, M.-È., & Blanchette, I. (2020). Emotions, reasoning, and mental health as predictors of behavior during three phases of the COVID-19 pandemic. PsyArXiv. https://doi.org/10.31234/osf.io/2p39h
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twitter.com twitter.com
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Anthony Costello on Twitter. (n.d.). Twitter. Retrieved 1 March 2021, from https://twitter.com/globalhlthtwit/status/1323747414923202562
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Fisman, D., Greer, A. L., & Tuite, A. (2020). Derivation and Validation of Clinical Prediction Rule for COVID-19 Mortality in Ontario, Canada. MedRxiv, 2020.06.21.20136929. https://doi.org/10.1101/2020.06.21.20136929
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psyarxiv.com psyarxiv.com
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Fluharty, M., Paul, E., & Fancourt, D. (2020). Predictors and patterns of gambling behaviour across the COVID-19 lockdown: Findings from a UK cohort study. PsyArXiv. https://doi.org/10.31234/osf.io/8qthw
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twitter.com twitter.com
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ReconfigBehSci on Twitter: ‘I just had cause to revisit the Friston modelling paper from Sept: Https://t.co/QOTC8fXV0n 1/n’ / Twitter. (n.d.). Retrieved 26 February 2021, from https://twitter.com/SciBeh/status/1336277391233208320
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twitter.com twitter.com
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ReconfigBehSci on Twitter: “this is utterly bizarre: How would one conceptually even begin to determine a number by which the model overestimated unmitigated deaths. What is the comparison unmitigated ‘prediction’ to what actually happened supposed to mean?” / Twitter. (n.d.). Retrieved May 1, 2021, from https://twitter.com/SciBeh/status/1384070393514790918
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- Apr 2021
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twitter.com twitter.com
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Eric Topol on Twitter: “The variants of concern/interest fall into a spectrum of immune evasiveness, w/ B.1.351 being most; B.1.1.7, B.1.429 least. This property pertains to potential for reinfection & some reduction in vaccine efficacy My prelim estimates based on publications/preprints, subject to Δ https://t.co/fQZwBCUEGS” / Twitter. (n.d.). Retrieved April 28, 2021, from https://twitter.com/EricTopol/status/1380203664317456385
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twitter.com twitter.com
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ReconfigBehSci. (2021, January 1). RT @bhrenton: In 91 days, we are 99.71% of the way to President Biden’s goal of 200 million shots in 100 days. We can expect to formally me… [Tweet]. @SciBeh. https://twitter.com/SciBeh/status/1385198744401072136
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twitter.com twitter.com
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ReconfigBehSci. (2021, April 19). @ToddHorowitz3 it could be meaningful only vis a vis certain qualitative constraints: E.g., ‘look, model predicts fewer deaths for unmitigated than observed even with lockdown’ => model underpredicts.... But that’s very much not the scenario here [Tweet]. @SciBeh. https://twitter.com/SciBeh/status/1384146492609372177
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twitter.com twitter.com
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ReconfigBehSci. (2021, April 19). @ToddHorowitz3 so, given that no one can know the ‘unmitigated number’ what they seem to be calculating is in difference deaths given lockdown and model prediction without lockdown and calling that the ‘overestimate’—Which seems truly bizarre [Tweet]. @SciBeh. https://twitter.com/SciBeh/status/1384147188180082692
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www.theguardian.com www.theguardian.com
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Indian expansion of Covid vaccine drive may further strain supplies | India | The Guardian. (n.d.). Retrieved April 19, 2021, from https://www.theguardian.com/world/2021/apr/19/indian-expansion-of-covid-vaccine-drive-may-further-strain-supplies
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Local file Local file
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Taquet, M. (2021, April 15). COVID-19 and cerebral venous thrombosis: a retrospective cohort study of 513,284 confirmed COVID-19 cases. https://doi.org/10.17605/OSF.IO/H2MT7
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twitter.com twitter.com
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Jeremy Faust MD MS (ER physician) on Twitter: “Let’s talk about the background risk of CVST (cerebral venous sinus thrombosis) versus in those who got J&J vaccine. We are going to focus in on women ages 20-50. We are going to compare the same time period and the same disease (CVST). DEEP DIVE🧵 KEY NUMBERS!” / Twitter. (n.d.). Retrieved April 15, 2021, from https://twitter.com/jeremyfaust/status/1382536833863651330
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www.theguardian.com www.theguardian.com
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UCL team’s claim that herd immunity set to be achieved in UK disputed | Coronavirus | The Guardian. (n.d.). Retrieved April 12, 2021, from https://www.theguardian.com/world/2021/apr/09/ucl-team-claim-covid-19-herd-immunity-achieved-uk-disputed-scientists
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www.theguardian.com www.theguardian.com
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UK’s Covid vaccine programme on track despite AstraZeneca problems | Vaccines and immunisation | The Guardian. (n.d.). Retrieved April 12, 2021, from https://www.theguardian.com/society/2021/apr/11/uks-covid-vaccine-programme-on-track-despite-astrazeneca-problems
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link.springer.com link.springer.com
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Bleuler defined schizophrenia with his four ‘A’s’, referring to the blunted Affect (diminished emotional response to stimuli); loosening of Associations (by which he meant a disordered pattern of thought, inferring a cognitive deficit), Ambivalence (an apparent inability to make decisions, again suggesting a deficit of the integration and processing of incident and retrieved information) and Autism (a loss of awareness of external events, and a preoccupation with the self and one’s own thoughts)
I stumbled upon this accidentally. I was going to add to my prediction that schizophrenia might be related to autism, but now that I've found this I need to publish my draft.
Edit: Here was the prediction I wrote. Copied unmodified, ensuring transparency.
March 28, 6:15pm Prediction: Some cases of schizophrenia are being misdiagnosed as autism. I recently took a Coursera.org course on schizophrenia. The negative symptoms look similar to some autism symptoms.
Before I look it up, there are a few other predictions I should make. Do I think schizophrenia and autism will be linked? If there’s cross-diagnosis, will this link be artificial or real? Last time I looked, people with aspergers had (more or less) normal sleep EEGs. In contrast, schizophrenia is associated with disrupted sleep spindles. I already know that schizophrenia and bipolar are genetically linked, but I don’t know what the bipolar sleep EEG looks like. That is to say, I don’t know if the lack of sleep abnormality in autism is evidence against a link to schizophrenia. All in all, I predict that there will be a real link (for example, genetic), but I have a low confidence in this prediction. The reason is that I expect there is little EEG sleep changes in bipolar, implying that there is a supra-mechanism causing all these effects; somewhat like metabolic syndrome, the same cause may manifest in different ways.
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www.bbrfoundation.org www.bbrfoundation.org
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Using this data, a large international team was able to pinpoint 114 specific loci – locations in the human genome – that contribute to risk of both schizophrenia and bipolar disorder, and four genome regions that contribute to differences in the biology of the two disorders.
This is exactly what I expected. In fact, I would have been extremely surprised if this weren't the case. I just google "schizophrenia bipolar genes" expecting this result.
I had the thought a few minutes ago, and google it right away. This means that I wasn't able to write it down as a prediction. Nonetheless, I think this points in favor of my prediction abilities. My confidence was inordinately high (i.e. on the order of 90%) even before collecting any evidence. Compare that to other high confidence beliefs (e.g. CFS is caused partly by blood volume), for which I have confidence on the order of 95%, but I have good evidence for that belief. Thus, this instance provides data that my confidence meter is reliable. I'll continue to make an effort to write down predictions ahead of time (to eliminate publication bias).
There are several reasons I suspected this would be the case. Firstly, personal subjective experience; that's what gave me the first inkling. Secondly, the connection of mania with long periods of sleeplessness. If the sleep deprivation causes the mania, then bipolar may be a sleep disorder. This is backed up by the sleep deprivation therapy for depression. Additionally, the connection of depression to sleep disturbance implies that sleep may also be causal in low mood. Furthermore, given that schizophrenia is associated with disrupted sleep spindles, it follows that the two sleep disorders, namely schizophrenia and bipolar, may be closely related genetically (via sleep regulating genes). Moreover, I knew that schizophrenia and bipolar were two of the most heritable psychological conditions; given that both are highly genetic and both involve sleep, it follows that they would likely be closely linked. Finally, I know mania can be associated with delusions, so there are several symptom crossovers. All in all, it is highly surprising that I have not seen this discussed before. Neither documentaries on schizophrenia nor documentaries on manic depression/bipolar have mentioned a link. Nor have studies I've read (admittedly few on this particular topic) mentioned anything of the sort. I shall have to look through the literature to see if this idea has been around for long.
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www.ncbi.nlm.nih.gov www.ncbi.nlm.nih.gov
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positive
This supports my low confidence prediction.
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- Mar 2021
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twitter.com twitter.com
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Nick Barrowman. (2021, March 26). Throughout the pandemic, a widespread inability to reason counterfactually has been on display. For example, some people apparently think lockdowns don’t work. They seem unable to imagine the situation had there not been a lockdown. Lockdowns are costly, but they work! [Tweet]. @nbarrowman. https://twitter.com/nbarrowman/status/1375240312264740870
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www.frontiersin.org www.frontiersin.org
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Spagnoli, Paola, Carmela Buono, Liliya Scafuri Kovalchuk, Gennaro Cordasco, and Anna Esposito. ‘Perfectionism and Burnout During the COVID-19 Crisis: A Two-Wave Cross-Lagged Study’. Frontiers in Psychology 11 (2021). https://doi.org/10.3389/fpsyg.2020.631994.
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scottbelsky.medium.com scottbelsky.medium.com
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This NFT world is likely the greatest unlock of artist opportunity in 100+ years. This isn't a suboptimal or fringe version of the real-world art economy, it is a vastly improved one.
its fascinating how this may be simulatenously true with the fact that NFTs in their current actual implementation are a scam.. eg regarding copyright, minting on other chains, NFT frozen to a specific URL, NFTs can be trasnferred off chain / OTC such that the 10% royalty doesnt happen, etc etc)
what ive come to see is that the reality is it doesnt matter - people making decisions on their career or specific investments, this matters a lot
.. but before people thinking of diving into this cuz it may be the next big thing for the next 20 years, then ya that's probably correct
this is massive cuz a lot of the problems will be solved one by one methodically even if its crappy today, itll be improved steadily cuz we are good at developing, what were bad at is blank sheet
cant believe im agreeing with this belsky guy
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link.springer.com link.springer.com
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Brewer, N. T., Cuite, C. L., Herrington, J. E., & Weinstein, N. D. (2007). Risk compensation and vaccination: Can getting vaccinated cause people to engage in risky behaviors? Annals of Behavioral Medicine, 34(1), 95. https://doi.org/10.1007/BF02879925
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bmcpublichealth.biomedcentral.com bmcpublichealth.biomedcentral.com
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Myers, L. B., & Goodwin, R. (2011). Determinants of adults’ intention to vaccinate against pandemic swine flu. BMC Public Health, 11(1), 15. https://doi.org/10.1186/1471-2458-11-15
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journals.sagepub.com journals.sagepub.com
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Hoogeveen, S., Sarafoglou, A., & Wagenmakers, E.-J. (2020). Laypeople Can Predict Which Social-Science Studies Will Be Replicated Successfully: Advances in Methods and Practices in Psychological Science. https://doi.org/10.1177/2515245920919667
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Bouffanais, R., & Lim, S. S. (2020). Cities—Try to predict superspreading hotspots for COVID-19. Nature, 583(7816), 352–355. https://doi.org/10.1038/d41586-020-02072-3
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onlinelibrary.wiley.com onlinelibrary.wiley.com
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Traczyk, J., Fulawka, K., Lenda, D., & Zaleskiewicz, T. (n.d.). Consistency in probability processing as a function of affective context and numeracy. Journal of Behavioral Decision Making, n/a(n/a). https://doi.org/10.1002/bdm.2206
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twitter.com twitter.com
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Jeff Mason. (2021, March 15). .@POTUS says local doctors would be more effective at getting the message across about vaccines to Trump supporters than the former president would be [Tweet]. @jeffmason1. https://twitter.com/jeffmason1/status/1371524627067981830
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www.nature.com www.nature.com
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Sridhar, Devi. ‘COVID-19: What Health Experts Could and Could Not Predict’. Nature Medicine 26, no. 12 (December 2020): 1812–1812. https://doi.org/10.1038/s41591-020-01170-z.
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academic.oup.com academic.oup.com
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Blakely, Tony, John Lynch, Koen Simons, Rebecca Bentley, and Sherri Rose. ‘Reflection on Modern Methods: When Worlds Collide—Prediction, Machine Learning and Causal Inference’. International Journal of Epidemiology 49, no. 6 (1 December 2020): 2058–64. https://doi.org/10.1093/ije/dyz132.
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crosscut.com crosscut.com
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In King County, pollution makes ZIP codes predictors of your health | Crosscut. (n.d.). Retrieved 5 March 2021, from https://crosscut.com/video/new-normal/king-county-pollution-makes-zip-codes-predictors-your-health
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‘Fact Check: Claim about Neil Ferguson’s Covid-19 Predictions’. Accessed 5 March 2021. https://theferret.scot/fact-check-neil-ferguson-covid-19-predictions/.
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vimeo.com vimeo.com
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COVID-19: What does the end look like? On Vimeo. (n.d.). Retrieved March 5, 2021, from https://vimeo.com/401637808
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twitter.com twitter.com
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Stefan Simanowitz. (2020, November 14). “Sweden hoped herd immunity would curb #COVID19. Don’t do what we did” write 25 leading Swedish scientists “Sweden’s approach to COVID has led to death, grief & suffering. The only example we’re setting is how not to deal with a deadly infectious disease” https://t.co/azOg6AxSYH https://t.co/u2IqU5iwEn [Tweet]. @StefSimanowitz. https://twitter.com/StefSimanowitz/status/1327670787617198087
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www.thelancet.com www.thelancet.com
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Biggs, A. T., & Littlejohn, L. F. (2021). Revisiting the initial COVID-19 pandemic projections. The Lancet Microbe, 2(3), e91–e92. https://doi.org/10.1016/S2666-5247(21)00029-X
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twitter.com twitter.com
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ReconfigBehSci. (2020, December 8). I’ve been pondering failed predictions today. A spectacular error of mine: In the early media rush to listen to scientists and doctors, I actually thought Western societies might be seeing the end of the “influencer” and a renewed interest in people who did stuff 1/2 [Tweet]. @SciBeh. https://twitter.com/SciBeh/status/1336383952232308736
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www.youtube.com www.youtube.com
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JAMA Network. (2020, November 6). Herd Immunity as a Coronavirus Pandemic Strategy. https://www.youtube.com/watch?v=2tsUTAWBJ9M
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- Feb 2021
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twitter.com twitter.com
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Catherine Rampell. (2020, December 4). The jobs hole remains very, very deep. Today, the U.S. economy still has a greater jobs deficit than was the case at the very worst point of every previous postwar recession, including the Great Recession https://t.co/jYH1AUqBsV [Tweet]. @crampell. https://twitter.com/crampell/status/1334856009207189507
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behavioralscientist.org behavioralscientist.org
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Imagining the Next Decade of Behavioral Science. (2020, January 20). Behavioral Scientist. https://behavioralscientist.org/imagining-the-next-decade-future-of-behavioral-science/
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Witte, E. H., Stanciu, A., & Zenker, F. (2020, October 28). A simple measure for the empirical adequacy of a theoretical construct. https://doi.org/10.31234/osf.io/gdm
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Hanea, A., Wilkinson, D. P., McBride, M., Lyon, A., Ravenzwaaij, D. van, Thorn, F. S., Gray, C. T., Mandel, D. R., Willcox, A., Gould, E., Smith, E., Mody, F., Bush, M., Fidler, F., Fraser, H., & Wintle, B. (2021). Mathematically aggregating experts’ predictions of possible futures. MetaArXiv. https://doi.org/10.31222/osf.io/rxmh7
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psyarxiv.com psyarxiv.com
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Sinclair, A. H., Hakimi, S., Stanley, M., Adcock, R. A., & Samanez-Larkin, G. (2021). Pairing Facts with Imagined Consequences Improves Pandemic-Related Risk Perception. PsyArXiv. https://doi.org/10.31234/osf.io/53a9f
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- Jan 2021
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psyarxiv.com psyarxiv.com
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Singh, M., Richie, R., & Bhatia, S. (2020, October 7). Representing and Predicting Everyday Behavior. https://doi.org/10.31234/osf.io/kb53h
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journals.plos.org journals.plos.org
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Parag. K. V., Donnelly. C. A., (2020) Using information theory to optimise epidemic models for real-time prediction and estimation. PLOS. Retrieved from https://journals.plos.org/ploscompbiol/article?id=10.1371/journal.pcbi.1007990
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- Dec 2020
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blogs.bmj.com blogs.bmj.com
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Karl Friston and Anthony Costello: What we have learned from the second covid-19 surge? (2020, December 8). The BMJ. https://blogs.bmj.com/bmj/2020/12/08/karl-friston-and-anthony-costello-what-we-have-learned-from-the-second-covid-19-surge/
Tags
- inaccuracy
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- Bayesian
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- vaccine
- lang:en
- criticism
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- COVID-19
- is:blog
- case number
- modeling
- second wave
Annotators
URL
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psyarxiv.com psyarxiv.com
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Rocca, R., & Yarkoni, T. (2020). Putting psychology to the test: Rethinking model evaluation through benchmarking and prediction. PsyArXiv. https://doi.org/10.31234/osf.io/e437b
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- Nov 2020
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psyarxiv.com psyarxiv.com
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Fischer, R., & Karl, J. (2020). Predicting behavioral intentions to prevent or mitigate COVID-19: A meta-analysis. PsyArXiv. https://doi.org/10.31234/osf.io/ek69g
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arxiv.org arxiv.org
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Wunderling, N., Krönke, J., Wohlfarth, V., Kohler, J., Heitzig, J., Staal, A., Willner, S., Winkelmann, R., & Donges, J. F. (2020). Modelling nonlinear dynamics of interacting tipping elements on complex networks: The PyCascades package. ArXiv:2011.02031 [Nlin, Physics:Physics]. http://arxiv.org/abs/2011.02031
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- Oct 2020
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twitter.com twitter.com
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Maarten van Smeden on Twitter. (n.d.). Twitter. Retrieved October 18, 2020, from https://twitter.com/MaartenvSmeden/status/1316423658106216454
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erj.ersjournals.com erj.ersjournals.com
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Martin, G. P., Sperrin, M., & Sotgiu, G. (2020). Performance of Prediction Models for Covid-19: The Caudine Forks of the External Validation. European Respiratory Journal. https://doi.org/10.1183/13993003.03728-2020
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github.com github.com
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Complexity, interconnectivity, novelty, & creation is beyond any single entity's ability to effectively forecast.
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covid-19.iza.org covid-19.iza.org
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COVID-19 and the Labor Market. (n.d.). IZA – Institute of Labor Economics. Retrieved October 11, 2020, from https://covid-19.iza.org/publications/dp13753/
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www.bloomberg.com www.bloomberg.com
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Goldman Offers Less-Dire View of Pandemic’s U.S. Economic Damage. (2020, October 7). Bloomberg.Com. https://www.bloomberg.com/news/articles/2020-10-07/goldman-offers-less-dire-view-of-pandemic-s-u-s-economic-damage
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Thomas, K., & Rabin, R. C. (2020, October 4). Trump’s Treatment Suggests Severe Covid-19, Medical Experts Say. The New York Times. https://www.nytimes.com/2020/10/04/health/trump-covid-treatment.html
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- Sep 2020
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www.thelancet.com www.thelancet.com
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Wilkinson, Jack, Kellyn F. Arnold, Eleanor J. Murray, Maarten van Smeden, Kareem Carr, Rachel Sippy, Marc de Kamps, et al. ‘Time to Reality Check the Promises of Machine Learning-Powered Precision Medicine’. The Lancet Digital Health 0, no. 0 (16 September 2020). https://doi.org/10.1016/S2589-7500(20)30200-4.
Tags
- challenges
- clinical practice
- lang:en
- machine learning powered precision medicine
- improved diagnosis
- revolution
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- personalised medical approach
- electronic health database
- algorithmic complexity
- collaboration
- prediction of individual responses
Annotators
URL
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www.nature.com www.nature.com
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A pandemic is no time to cut the European Research Council’s funding. (2020). Nature, 585(7825), 323–324. https://doi.org/10.1038/d41586-020-02620-x
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www.bbc.co.uk www.bbc.co.uk
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BBC Radio 4—The Life Scientific, Neil Ferguson on modelling Covid-19. (n.d.). BBC. Retrieved September 26, 2020, from https://www.bbc.co.uk/programmes/m000mt0h
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www.scotsman.com www.scotsman.com
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Beware comforting lies about a “herd immunity” Covid-19 strategy. Here’s why it’s dangerous – Professor Devi Sridhar. (n.d.). Retrieved September 25, 2020, from https://www.scotsman.com/news/opinion/columnists/covid-19-herd-immunity-strategy-flawed-until-we-have-coronavirus-vaccine-professor-devi-sridhar-2981017
Tags
- is:news
- strategy
- prediction
- antibody
- vaccine
- lang:en
- uncertainty
- herd immunity
- epidemiology
- COVID-19
- safety
- government response
- protection
Annotators
URL
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science.sciencemag.org science.sciencemag.org
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Saad-Roy, C. M., Wagner, C. E., Baker, R. E., Morris, S. E., Farrar, J., Graham, A. L., Levin, S. A., Mina, M. J., Metcalf, C. J. E., & Grenfell, B. T. (2020). Immune life history, vaccination, and the dynamics of SARS-CoV-2 over the next 5 years. Science. https://doi.org/10.1126/science.abd7343
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twitter.com twitter.com
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Adam Kucharski on Twitter. (n.d.). Twitter. Retrieved September 22, 2020, from https://twitter.com/AdamJKucharski/status/1307231588732764161
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- post-pandemic
- lang:en
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