The Takeaway: The combination of closing borders, tightly regulating travel, effective quarantine of all exposed people using cell phone data for enforcement, and universal mask wearing contributed to effectively keeping COVID-19 from infecting most of Taiwan's population.

The claim: Closing borders early, tightly regulating travel, contact tracing, technology-enforced quarantine, universal mask wearing, and Taiwan's previous deadly experience with SARS resulted in control of SARS-CoV-2 in Taiwan.

The evidence: The earlier COVID-19 cases are stopped from entering a country, the fewer cases will be present to spread the disease to others. To illustrate, it is easier to stop a trickle of water than to try to dam up a flood and easier to extinguish a candle than a forest fire. Taiwan closed its borders on January 23rd, 2020 (1). The Philippines closed their borders on February 2nd, 2020 (2). Tightly regulating travel will help to stop cases before they enter the country. Effective quarantining the few cases and contacts of the cases which do enter a country is critical to preventing the spread of the disease within the country. Taiwan used mobile telephone data to enforce quarantine (1). Without quarantine, each infected person will spread COVID-19 to 2-6 additional people based on the R0 (3, 4). Universal masking will help slow the spread of disease (5). Previous experience with controlling a deadly disease will most likely increase compliance to methods to control the disease.

Per Our World in Data website, Taiwan had one of the least stringent government responses to COVID-19 (6). The biweekly number of COVID-19 cases in Taiwan was 23 on October 29, 2020 (7). Neighboring countries had biweekly COVID-19 cases of 372 (China), 28,644 (Philippines), 11,871 (Malaysia), 51 (Vietnam), and 8,142 (Japan). These neighboring countries had more stringent government responses to COVID-19 (6).

Sources:

1) https://focustaiwan.tw/society/202001230011

2)https://www.pharmaceutical-technology.com/features/coronavirus-affected-countries-philippines-measures-impact-tourism-economy/#:~:text=The%20government%20announced%20earlier%20on,barred%20from%20entering%20the%20country.

3) https://pubmed.ncbi.nlm.nih.gov/32234343/

4) https://pubmed.ncbi.nlm.nih.gov/32097725/

5) https://www.nature.com/articles/s41591-020-1132-9#annotations:7jRWRheWEeuY8x_rXDuRjg

6) https://ourworldindata.org/grapher/covid-stringency-index

7) https://ourworldindata.org/grapher/biweekly-confirmed-covid-19-cases

Brous, P., & Janssen, M. (2020). Trusted Decision-Making: Data Governance for Creating Trust in Data Science Decision Outcomes. Administrative Sciences, 10(4), 81. https://doi.org/10.3390/admsci10040081

Ferraro, P. J., Miranda, J. J., & Price, M. K. (2011). The Persistence of Treatment Effects with Norm-Based Policy Instruments: Evidence from a Randomized Environmental Policy Experiment. American Economic Review, 101(3), 318–322. https://doi.org/10.1257/aer.101.3.318

What you need to know about Sweden’s new local coronavirus recommendations. (2020, October 19). https://www.thelocal.se/20201019/what-you-need-to-know-about-swedens-new-local-coronavirus-recommendations

Shepherd, D. (2020, October 18). People will be “afraid” to report symptoms due to huge fines. BristolLive. https://www.bristolpost.co.uk/news/bristol-news/bristol-university-professor-fears-people-4617695

Brown, R. C. H., Kelly, D., Wilkinson, D., & Savulescu, J. (2020). The scientific and ethical feasibility of immunity passports. The Lancet Infectious Diseases, 0(0). https://doi.org/10.1016/S1473-3099(20)30766-0

Royal Statistical Society on Twitter. (n.d.). Twitter. Retrieved October 25, 2020, from https://twitter.com/RoyalStatSoc/status/1317133702183456769

Raimondo, S., Benigni, B., & De Domenico, M. (2020). Environmental conditions and human activity nexus. The case of Northern Italy during COVID-19 lockdown. ArXiv:2010.07721 [Physics]. http://arxiv.org/abs/2010.07721

Take away: Cloth face masks filter approximately 50% of bacteriophage five times smaller than one SARS-CoV-2 virus. Therefore it is reasonable to assume that masks, including cloth masks, are 50% effective.

The claim: Masks are assumed to be 50% effective.

The evidence: Face masks, including home made face masks, were shown to reduce aerosol exposure (1). Masks made from various materials were shown to filter 50-68% of Bacteriophage CS2 which is 20 nm (2). When NaCl aerosols were used instead of a bacteriophage, penetration by NaCl occurred 9-98% of the time depending on the size of the particles (3). Two well written reviews detail the efficacy of facemasks (4, 5). SARS-CoV-2 virus is ~100 nm in size (6).

Sources: 1 https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2440799/

2 https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7108646/

3 https://academic.oup.com/annweh/article/54/7/789/202744

4 https://www.preprints.org/manuscript/202004.0203/v1

5 https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7497125/#ref23

6 https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7224694/#:~:text=SARS%2DCoV%2D2%20is%20an,they%20do%20more%20than%20that.

IJzerman, H., Lewis, N. A., Przybylski, A. K., Weinstein, N., DeBruine, L., Ritchie, S. J., Vazire, S., Forscher, P. S., Morey, R. D., Ivory, J. D., & Anvari, F. (2020). Use caution when applying behavioural science to policy. Nature Human Behaviour, 1–3. https://doi.org/10.1038/s41562-020-00990-w

ReconfigBehSci on Twitter. (n.d.). Twitter. Retrieved October 15, 2020, from https://twitter.com/SciBeh/status/1316293486224838661

Howard, M. C. (2021). Gender, face mask perceptions, and face mask wearing: Are men being dangerous during the COVID-19 pandemic? Personality and Individual Differences, 170, 110417. https://doi.org/10.1016/j.paid.2020.110417

Letters. (2020, October 11). Resistance to lockdown rules is not just ‘fatigue’ | Letters. The Guardian. http://www.theguardian.com/world/2020/oct/11/resistance-to-lockdown-rules-is-not-just-fatigue

The HOPE-project (http://hope-project.dk ) tracks public opinion during #covid19, sharing findings with the public & authorities. This graph is the most concerning yet: The # willing to use an approved COVID-vaccine recommended for them

Feldman, J. (2020, October 11). The “herd immunity strategy” isn’t part of a scientific debate about COVID-19. Medium. https://medium.com/@jmfeldman/the-herd-immunity-strategy-isnt-part-of-a-scientific-debate-about-covid-19-abddf6bc7c13

Abraar Karan: Politics and public health in America—taking a stand for what is right. (2020, October 9). The BMJ. https://blogs.bmj.com/bmj/2020/10/09/abraar-karan-politics-and-public-health-in-america-taking-a-stand-for-what-is-right/

Take away:

If correct numerators and denominators are used, COVID-19 is at least 10 times as deadly as seasonal influenza.

The claim:

The Infection Fatality Ratio for COVID-19 is “approximately 2.5 times higher than the estimated IFR for seasonal influenza.”

The evidence:

Blackburn et al. report an infection fatality ratio among community-living adults of 0.26% (1). If institutionalized adults had been included the ratio would be higher, likely approximating the 0.6% mortality rate among exposed individuals readily calculated by combining official death tolls, the known 30% undercount (2), and a definitive CDC study that found 10 times as many people have been exposed to the novel coronavirus than are reported as cases (3). Among the elderly, Blackburn et al. calculate COVID-19 is 2.5 times deadlier than seasonal flu. This is clearly an underestimate:

1) Blackburn et al. use CDC estimates of case-fatality rates calculated on the basis of all Americans, including the institutionalized, not limited to much healthier community-dwellers.

2) The seasonal influenza case fatality rates reported by the CDC, including the often cited 0.1% overall, are for symptomatic cases. Their denominators are estimated by using the reported number of influenza hospitalizations to guess the burden of clinical illness (4). But antibody studies show that 65%-85% of people infected with influenza never develop symptoms (5). The 0.6% mortality rate calculated here for SARS-CoV-2-exposed individuals is 6 times higher than the 0.1% usually cited for seasonal influenza. Given the overestimation of commonly accepted influenza mortality rates due to failure to take asymptomatic infections into account, SARS-CoV-2 can be seen to be not 2.5 times, or even 6 times, but at least 10 times as lethal as seasonal flu.

Sources:

1 http://www.acpjournals.org/doi/10.7326/M20-5352

2 https://jamanetwork.com/journals/jamainternalmedicine/fullarticle/2767980

3 https://jamanetwork.com/journals/jamainternalmedicine/fullarticle/2768834

4 https://www.cdc.gov/flu/about/burden/how-cdc-estimates.htm

5 https://pubmed.ncbi.nlm.nih.gov/26133025/

Kavanagh, M. M. (2020). US elections and a foreign policy for pandemics. The Lancet Public Health, 5(10), e517–e518. https://doi.org/10.1016/S2468-2667(20)30211-5

COVID-19 and the Labor Market. (n.d.). IZA – Institute of Labor Economics. Retrieved October 11, 2020, from https://covid-19.iza.org/publications/dp13622/

COVID-19 and the Labor Market. (n.d.). IZA – Institute of Labor Economics. Retrieved October 11, 2020, from https://covid-19.iza.org/publications/dp13640/

COVID-19 and the Labor Market. (n.d.). IZA – Institute of Labor Economics. Retrieved October 11, 2020, from https://covid-19.iza.org/publications/dp13757/

COVID-19 and the Law Colloquium Series | Elections. (2020, September 30). https://www.youtube.com/watch?v=uKInisfa60o

Covid-19: Is Behavioural Science The Key To Handle The Pandemic? (n.d.). Retrieved October 10, 2020, from https://www.psychologs.com/article/covid-19-is-behavioral-science-the-key-to-handle-the-pandemic

I'll have to add this book to my to read stack.

It's all about the value of links!

Take Away: The new scientific paper confirms earlier modeling work and should not be interpreted as a detailed prediction for future deaths due to the ongoing pandemic.

The Claim: "A scientific review of the science behind lockdown concludes the policy was a MISTAKE & will have caused MORE deaths from Covid-19"

The Evidence: The scientific process involves replication and confirmation of experiments and studies. A new paper replicates and expands on an early modeling study of the COVID-19 pandemic in England (1). Their findings support the earlier results. However, there are limitations to the replication paper, which does not accurately reflect the current state of the pandemic response and does not make detailed predictions for a second wave of infections and deaths.

A recent expert response to the paper further explains (2):

"It needs to be stressed that all the simulations assume that interventions are only in place for 3 months (18th April – 18th July) and then completely relaxed. This gives rise to a strange set of scenarios where a second wave is allowed to progress in an uncontrolled manner."

“It is this that leads to the counter-intuitive headline finding “that school closures would result in more overall covid-19 deaths than no school closures” – actually what the authors find is that a short period of intense lock-down (including the closure of schools) leads to a large second wave if it is allowed to run with no controls. To be fair the authors do highlight this in the paper, but it is not in the reported press release." -Prof Matt Keeling, Professor of Populations and Disease, University of Warwick

Sources:

(1) https://www.bmj.com/content/371/bmj.m3588

(2) https://www.sciencemediacentre.org/expert-reaction-to-reanalysis-of-model-used-for-imperial-report-9-and-impact-of-school-closures/

Building an Online Community for Behavioural Science COVID-19 Response – Prof. Ulrike Hahn. (2020, August 8). https://www.youtube.com/watch?v=noWjiDQSD14

Take away: This model excludes the possibility of vaccination. As many vaccines are in stage three clinical trials, the conclusion that more people will die from closing schools, etc. will most likely not be realized.

The claim: School closures and isolation of younger people will increase total number of deaths from second and subsequent waves of COVID-19 when restrictions are lifted.

The evidence: This model predicts more deaths from the combination of place closures such as schools, case isolations, household quarantine, and social distancing of over 70s than for the combination of case isolation, household quarantine, and social distancing for over 70s. The majority of the deaths for the combination of place closures, case isolations, household quarantine, and social distancing of over 70s occur once the restrictions are lifted. This model excludes the possibility of a vaccine reducing the size of the second wave.

At least ten companies have a COVID-19 vaccine in the final stage (Phase III) of clinical trials (1). Therefore a model which excludes vaccination will most likely not be accurate to reality once a vaccine is widely administered.

Source:

1 https://www.who.int/publications/m/item/draft-landscape-of-covid-19-candidate-vaccines

Bozorgmehr, K. (2020). Power of and power over COVID-19 response guidelines. The Lancet, 0(0). https://doi.org/10.1016/S0140-6736(20)32081-X

IZA – Institute of Labor Economics. ‘COVID-19 and the Labor Market’. Accessed 6 October 2020. https://covid-19.iza.org/publications/dp13707/.

IZA – Institute of Labor Economics. ‘COVID-19 and the Labor Market’. Accessed 6 October 2020. https://covid-19.iza.org/publications/dp13690/.

IZA – Institute of Labor Economics. ‘COVID-19 and the Labor Market’. Accessed 6 October 2020. https://covid-19.iza.org/publications/dp13683/.

IZA – Institute of Labor Economics. ‘COVID-19 and the Labor Market’. Accessed 6 October 2020. https://covid-19.iza.org/publications/dp13650/.

Adam Kucharski on Twitter. (n.d.). Twitter. Retrieved October 5, 2020, from https://twitter.com/AdamJKucharski/status/1312749950028189697

Another place where markets are failing us. We need better regulation for this sort of behavior.

Pfattheicher, Stefan, Michael Bang Petersen, and Robert Böhm. ‘Information about Herd Immunity and Empathy Promote COVID-19 Vaccination Intentions’, 30 September 2020. https://doi.org/10.31234/osf.io/wzu6k.

Kaplan, Edward H, Dennis Wang, Mike Wang, Amyn A Malik, Alessandro Zulli, and Jordan H Peccia. ‘Aligning SARS-CoV-2 Indicators via an Epidemic Model: Application to Hospital Admissions and RNA Detection in Sewage Sludge’. Preprint. Infectious Diseases (except HIV/AIDS), 29 June 2020. https://doi.org/10.1101/2020.06.27.20141739.

COVID-19 and the Politics of Reproductive Health: Global Perspectives. (2020, August 18). https://www.youtube.com/watch?v=Kex9O_cwMwo

Behavioral Scientist. ‘Creating Citizen Choice Architects - By Ralph Hertwig & Samuli Reijula’, 28 September 2020. https://behavioralscientist.org/creating-citizen-choice-architects/.

Covid: Cardiff and Swansea go into local lockdown—BBC News. (n.d.). Retrieved September 29, 2020, from https://www.bbc.co.uk/news/uk-wales-54310400

Learning lessons before launching an inquiry—IfG LIVE 2020 Labour Fringe Programme—YouTube. (n.d.). Retrieved September 29, 2020, from https://www.youtube.com/watch?v=cCZl-naQ6UM

Haas, I. J., Baker, M., & Gonzalez, F. (2020). Political Uncertainty Moderates Neural Evaluation of Incongruent Policy Positions. https://doi.org/10.31234/osf.io/bmr59

Computational Social Science to Address the (Post) COVID-19 Reality. (2020, June 27). https://www.youtube.com/watch?v=7d-Dq0e1JJ0&list=PL9UNgBC7ODr6eZkwB6W0QSzpDs46E8WPN&index=4

SciBeh 2020 Workshop on “Building an online information environment for policy relevant science.” (2020, September 23). SciBeh. https://scibeh.org/events/workshop2020/

COVID-19: Open, reasoned, detailed, discussion of the options is overdue and welcome. (2020). https://www.bmj.com/content/370/bmj.m3702/rr-2

Hennessy, E. A., Acabchuk, R., Arnold, P. A., Dunn, A. G., Foo, Y. Z., Johnson, B. T., Geange, S. R., Haddaway, N. R., Nakagawa, S., Mapanga, W., Mengersen, K., Page, M. J., Sánchez-Tójar, A., Welch, V., & McGuinness, L. A. (2020). Ensuring Prevention Science Research is Synthesis-Ready for Immediate and Lasting Scientific Impact [Preprint]. MetaArXiv. https://doi.org/10.31222/osf.io/ptg9j

ReconfigBehSci on Twitter: “having spent a few days looking at ‘debate’ about COVID policy on lay twitter (not the conspiracy stuff, just the ‘we should all be Sweden’ discussions), the single most jarring (and worrying) thing I noticed is that posters seem completely undeterred by self contradiction 1/3” / Twitter. (n.d.). Retrieved September 23, 2020, from https://twitter.com/SciBeh/status/1308340430170456064

Webinar series DAY 1 - Insights into COVID-19 modelling & evidence-based policy making. Retrieved from on 21/09/2020 from https://www.youtube.com/playlist?list=PLNzrUckV9eSJAybOPMPxPulI0bciy8HXf

Webinar series DAY 2 - Insights into COVID-19 modelling & evidence-based policy making. Retrieved on 21/09/2020 from https://www.youtube.com/playlist?list=PLNzrUckV9eSJIF41YCUaUWHOg_CTxmc99

Take away: Mass infection without vaccination to achieve herd immunity will result in millions of deaths based on the observed death rate and may not result in herd immunity due to virus mutation. Historically, vaccination results in less deaths than the disease.

The claim: Herd immunity from widespread disease instead of vaccination will lead to many people dying.

The evidence: Approximately 50-67% of a given population is estimated to need to be infected for herd immunity to COVID-19 to exist which will result in millions of deaths. This is supported by additional publications (1, 2). This number assumes that the virus will not mutate to the point where re-infection is possible. If mutation occurs, COVID could become established in the general population similar to influenza or the common cold (3). A third publication estimates a needed infected percentage of 29-74% (4). These publications support the statement that millions will die if herd immunity is achieved via infection without vaccination. Historically, vaccination results in fewer deaths/disease on a population level than the disease for which the vaccine is designed to prevent (5-7).

Sources:

1 https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7314002/

2 https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7262166/pdf/JMV-9999-na.pdf

3 https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7164482/

4 https://www.cambridge.org/core/services/aop-cambridge-core/content/view/A1480DAE803D4CD4A3E9F79B82309584/S1935789320001913a.pdf/covid19_reflections.pdf

5 https://pubmed.ncbi.nlm.nih.gov/28708957/

6 https://pubmed.ncbi.nlm.nih.gov/29668817/

7 https://pubmed.ncbi.nlm.nih.gov/12531323/

The Behaviour Change Wheel Book—A Guide To Designing Interventions. (n.d.). Retrieved September 17, 2020, from http://www.behaviourchangewheel.com/

SAYAS Webinar 2: What Science will look like after COVID-19? (2020, July 23). https://www.youtube.com/watch?v=LA8zwwVpKJ8&feature=emb_logo

Jr, N. L. (2020, September 14). Why Coming Up With Effective Interventions To Address COVID-19 Is So Hard. FiveThirtyEight. https://fivethirtyeight.com/features/why-coming-up-with-effective-interventions-to-address-covid-19-is-so-hard/

Prescott, K. (2020, September 11). Lockdown again: “It can’t get any worse.” BBC News. https://www.bbc.com/news/business-54117668

Why can't we project additional places like this and begin investing in infrastructure and growth in those places?

This is an interesting and telling example.

Here's a place were those who cry capitalism will save us should be shouting the loudest!

We definitely need to quit putting good money after bad.

Natalie Savona: Who is responsible for health behaviour? (2020, September 11). The BMJ. https://blogs.bmj.com/bmj/2020/09/11/natalie-savona-who-is-responsible-for-health-behaviour/

Take away: People are infectious for only part of the time they test positive. The tests for COVID-19 were granted emergency status by the FDA so some debate concerning the most ideal number of cycles is to be expected. It is worth noting that the FDA has the disclaimer "Negative results do not preclude 2019-nCoV infection and should not be used as the sole basis for treatment or other patient management decisions. Negative results must be combined with clinical observations, patient history, and epidemiological information (2)."

The claim: Up to 90 percent of people diagnosed with coronavirus may not be carrying enough of it to infect anyone else

The evidence: Per Walsh et al. (1), SARS-CoV-2 virus (COVID-19) is most likely infectious if the number of PCR cycles is <24 and the symptom onset to test is <8 days. RT-PCR detects the RNA, not the infectious virus. Therefore, setting the cycle threshold at 37-40 cycles will most likely result in detecting some samples with virus which is not infectious. As the PCR tests were granted emergency use by the FDA (samples include 2-9), it is not surprising that some debate exists currently about where the cycle threshold should be. Thresholds need to be set and validated for dozens of PCR tests currently in use. If identifying only infectious individuals is the goal, a lower cycle number may be justified. If detection of as many cases as possible to get closer to the most accurate death rate is the goal, setting the cycle threshold at 37-40 makes sense. A lower threshold will result in fewer COVID-19 positive samples being identified. It is worth noting that the emergency use approval granted by the FDA includes the disclaimer that a negative test does not guarantee that a person is not infected with COVID-19. RNA degrades easily. If samples are not kept cold or properly processed, the virus can degrade and result in a false negative result.

Source: 1 https://academic.oup.com/cid/advance-article/doi/10.1093/cid/ciaa638/5842165

2 https://www.fda.gov/media/134922/download

3 https://www.fda.gov/media/138150/download

4 https://www.fda.gov/media/137120/download

5 https://www.fda.gov/media/136231/download

6 https://www.fda.gov/media/136472/download

7 https://www.fda.gov/media/139279/download

8 https://www.fda.gov/media/136314/download

9 https://www.fda.gov/media/140776/download

r/BehSciAsk - Behavioural Policy challenge: How well do people understand trade-offs and accept them? (n.d.). Reddit. Retrieved 9 September 2020, from https://www.reddit.com/r/BehSciAsk/comments/ii3n2x/behavioural_policy_challenge_how_well_do_people/

Susan Athey, July 22, 2020. (2020, August 2). https://www.youtube.com/watch?v=hqTOPrUxDzM

Casoria, F., Galeotti, F., & Villeval, M. C. (2020). Perceived Social Norm and Behavior Quickly Adjusted to Legal Changes During the COVID-19 Pandemic (SSRN Scholarly Paper ID 3681204). Social Science Research Network. https://doi.org/10.2139/ssrn.3681204

Clifford, S., Quilty, B. J., Russell, T. W., Liu, Y., Chan, Y.-W. D., Pearson, C. A. B., Eggo, R. M., Endo, A., Group, C. C.-19 W., Flasche, S., & Edmunds, W. J. (2020). Strategies to reduce the risk of SARS-CoV-2 re-introduction from international travellers. MedRxiv, 2020.07.24.20161281. https://doi.org/10.1101/2020.07.24.20161281

Jason Furman on Twitter. (n.d.). Twitter. Retrieved September 7, 2020, from https://twitter.com/jasonfurman/status/1301871401226338305

Lewandowsky, Stephan, Simon Dennis, Amy Perfors, Yoshihisa Kashima, Joshua White, Paul Michael Garrett, Daniel R. Little, and Muhsin Yesilada. ‘Public Acceptance of Privacy-Encroaching Policies to Address the COVID-19 Pandemic in the United Kingdom’. Preprint. PsyArXiv, 4 September 2020. https://doi.org/10.31234/osf.io/njwmp.

Peter Slattery on Twitter: “Are you, or is anyone you know, researching how COVID-19 has affected behaviour and behavioural drivers in Victoria and Australia, in particular behaviours that related to topics such as ‘active transport’, ‘service provision’, ‘working from home’ and ‘car usage’?” / Twitter. (n.d.). Twitter. Retrieved June 23, 2020, from https://twitter.com/peterslattery1/status/1274874801174179840

Tea & Talk Podcast. (2020, June 5). The Royal Society of Edinburgh. https://www.rse.org.uk/publication/tea-talk-podcast/

Nuzzo, J. B., & Sharfstein, J. M. (2020, July 1). Opinion | We Have to Focus on Opening Schools, Not Bars. The New York Times. https://www.nytimes.com/2020/07/01/opinion/coronavirus-schools.html

Sorokanich, L., Sorokanich, L., & Sorokanich, L. (2020, June 16). Six experts on how we’ll live, work, and play in cities after COVID-19. Fast Company. https://www.fastcompany.com/90506247/six-experts-on-how-well-live-work-and-play-in-cities-after-covid

Admin. (2020, June 8). Institutional Vandalism: The University & Covid-19. Critical Legal Thinking. https://criticallegalthinking.com/2020/06/08/institutional-vandalism-the-university-covid-19/

Spinney, L. (2020, May 31). Covid-19 expert Karl Friston: “Germany may have more immunological ‘dark matter.’” The Observer. https://www.theguardian.com/world/2020/may/31/covid-19-expert-karl-friston-germany-may-have-more-immunological-dark-matter

Covid-19 is far more widespread than we think. (n.d.). Retrieved June 22, 2020, from https://www.spiked-online.com/2020/06/19/covid-19-is-far-more-widespread-than-we-think/

Jr, C., & De, K. R. (2020). Trying to make sense out of chaos: Science, politics and the COVID-19 pandemic. Cadernos de Saúde Pública, 36, e00088120. https://doi.org/10.1590/0102-311x00088120

Benvenisti, E. (2020). The WHO – Destined to Fail?: Political Cooperation and the COVID-19 Pandemic (SSRN Scholarly Paper ID 3638948). Social Science Research Network. https://papers.ssrn.com/abstract=3638948

Obradovich, K. (n.d.). Reynolds says COVID-19 immunity strikes a “balance.” It’s not even close. - Iowa Capital Dispatch. Retrieved July 1, 2020, from https://iowacapitaldispatch.com/2020/06/29/reynolds-says-covid-19-immunity-strikes-a-balance-its-not-even-close/

Building the New Economy · Works in Progress. (n.d.). Works in Progress. Retrieved June 16, 2020, from https://wip.mitpress.mit.edu/new-economy

What Happens to Public Space When Everything Moves Outside. (2020, June 29). Bloomberg.Com. https://www.bloomberg.com/news/features/2020-06-29/what-happens-to-public-space-when-everything-moves-outside