- Jul 2020
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www.nationalgeographic.com www.nationalgeographic.com
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How scientists know COVID-19 is way deadlier than the flu. (2020, July 2). Science. https://www.nationalgeographic.com/science/2020/07/coronavirus-deadlier-than-many-believed-infection-fatality-rate-cvd/
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- potential
- case increase
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twitter.com twitter.com
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Carl T. Bergstrom on Twitter: “1. In short, no. This is going to take a detailed thread to unpack.” / Twitter. (n.d.). Twitter. Retrieved July 18, 2020, from https://twitter.com/CT_Bergstrom/status/1270226183485976584
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www.wired.com www.wired.com
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Larry Brilliant on How Well We Are Fighting Covid-19. (n.d.). Wired. Retrieved July 18, 2020, from https://www.wired.com/story/larry-brilliant-on-how-well-are-we-fighting-covid-19/
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www.nytimes.com www.nytimes.com
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Zimmer, C. (2020, June 30). Most People With Coronavirus Won’t Spread It. Why Do a Few Infect Many? The New York Times. https://www.nytimes.com/2020/06/30/science/how-coronavirus-spreads.html
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Grabar, H. (2020, April 17). Nothing About New York’s Outbreak Was Inevitable. Slate Magazine. https://slate.com/business/2020/04/coronavirus-new-york-city-outbreak-blame.html
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www.blogto.com www.blogto.com
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Toronto to remain in Stage 2 of reopening while much of the province moves on to Stage 3. (n.d.). Retrieved July 17, 2020, from https://www.blogto.com/city/2020/07/toronto-stage-2-reopening-province-stage-3/
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www.youtube.com www.youtube.com
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UCL-Lancet Lecture 2020: Global Health Preparedness in the Face of Emerging Epidemics. (2020, July 13). https://www.youtube.com/watch?v=pqE48fmyRkw&feature=youtu.be
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osf.io osf.io
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Kulu, H., & Dorey, P. (2020). Infection Rates from Covid-19 in Great Britain by Geographical Units: A Model-based Estimation from Mortality Data [Preprint]. SocArXiv. https://doi.org/10.31235/osf.io/84f3e
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www.thelancet.com www.thelancet.com
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Behrmann, Ole, and Martin Spiegel. ‘COVID-19: From Rapid Genome Sequencing to Fast Decisions’. The Lancet Infectious Diseases 0, no. 0 (14 July 2020). https://doi.org/10.1016/S1473-3099(20)30580-6.
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Hossain, M. M., Mazumder, H., Tasnim, S., Nuzhath, T., & Sultana, A. (2020). Geriatric health in Bangladesh during COVID-19: Challenges and recommendations [Preprint]. SocArXiv. https://doi.org/10.31235/osf.io/x2b8w
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osf.io osf.io
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Cohen, P. N. (2020). The COVID-19 epidemic in rural U.S. counties. https://doi.org/10.31235/osf.io/pnqrd
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Song, S. (2020). China Experience in Controlling COVID-19. https://doi.org/10.31235/osf.io/gfnep
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osf.io osf.io
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Aksoy, C. G., Eichengreen, B., & Saka, O. (2020). The Political Scar of Epidemics [Preprint]. SocArXiv. https://doi.org/10.31235/osf.io/p25nh
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Laliotis, I., & Minos, D. (2020). Spreading the disease: The role of culture [Preprint]. SocArXiv. https://doi.org/10.31235/osf.io/z4ndc
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www.youtube.com www.youtube.com
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Pre conference—WHO first infodemiology conference. (2020, June 29). https://www.youtube.com/watch?v=OmuqK8Drzbg
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www.youtube.com www.youtube.com
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Q&A: Modelling COVID-19. (n.d.). Retrieved June 25, 2020, from https://www.youtube.com/watch?v=HUKC8Wq2a0k
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www.youtube.com www.youtube.com
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Modelling the Spread of the Virus. (n.d.). Retrieved June 20, 2020, from https://www.youtube.com/watch?v=H0smYXTa31g&feature=youtu.be
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www.youtube.com www.youtube.com
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Net-COVID Session3A: Human mobility and control measures in the COVID-19 epidemic by Sam Scarpino. (n.d.). Retrieved June 14, 2020, from https://www.youtube.com/watch?v=BrrGxJT6-iA
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osf.io osf.io
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Weeden, K. A., & Cornwell, B. (2020). The Small World Network of College Classes: Implications for Epidemic Spread on a University Campus [Preprint]. SocArXiv. https://doi.org/10.31235/osf.io/n5gw4
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twitter.com twitter.com
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Howard Forman (2020, June 14) RT @thehowie. Overnight, https://covidexitstrategy.org updated their map to reflect #Mississippi deterioration -Southeast now a solid block of red. Retrieved from https://twitter.com/SciBeh/status/1272174367057862657
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osf.io osf.io
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Boertien, D., Esteve, A., & Permanyer, I. (2020). Age Structure and Living Arrangements Shape the Vulnerability of Spanish Provinces to Outbreaks of Covid-19 [Preprint]. SocArXiv. https://doi.org/10.31235/osf.io/ug2c8
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twitter.com twitter.com
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Maarten van Smeden on Twitter: “Let’s talk about the ‘risk factors’ for COVID-19 for a moment 1/n” / Twitter. (n.d.). Twitter. Retrieved July 11, 2020, from https://twitter.com/maartenvsmeden/status/1249702560442785794
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www.bmj.com www.bmj.com
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Huitfeldt, A. (2016). Is caviar a risk factor for being a millionaire? BMJ, 355. https://doi.org/10.1136/bmj.i6536
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www.youtube.com www.youtube.com
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Net-COVID Session2A: Network Epidemiology Tutorial by YY Ahn. (2020, April 16). https://www.youtube.com/watch?v=8XHBYdHBhDI&list=PLVWaQYnj_BZVQal-KQ0rf8CcZJPIhpuO3&index=2
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www.youtube.com www.youtube.com
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Net-COVID Session4A: Math Models of Epidemic Spreading in the Time of COVID-19 by Ginestra Bianconi. (2020, May 1). https://www.youtube.com/watch?v=vZ2Ezsffkqs&list=PLVWaQYnj_BZVQal-KQ0rf8CcZJPIhpuO3&index=4
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www.nytimes.com www.nytimes.com
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Jena, A. B., & Worsham, C. M. (2020, June 30). What Coronavirus Researchers Can Learn From Economists. The New York Times. https://www.nytimes.com/2020/06/30/upshot/coronavirus-economists-dexamethasone.html
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www.nature.com www.nature.com
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Block, P., Hoffman, M., Raabe, I. J., Dowd, J. B., Rahal, C., Kashyap, R., & Mills, M. C. (2020). Social network-based distancing strategies to flatten the COVID-19 curve in a post-lockdown world. Nature Human Behaviour, 4(6), 588–596. https://doi.org/10.1038/s41562-020-0898-6
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www.orfonline.org www.orfonline.org
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Jha, R. (n.d.). Sweden’s ‘Soft’ COVID19 Strategy: An Appraisal. ORF. Retrieved July 9, 2020, from https://www.orfonline.org/research/swedens-soft-covid19-strategy-an-appraisal-69291/
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www.newscientist.com www.newscientist.com
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Liverpool, C. W., Jessica Hamzelou, Adam Vaughan, Conrad Quilty-Harper and Layal. (n.d.). Covid-19 news: UK could eliminate coronavirus entirely, say scientists. New Scientist. Retrieved July 9, 2020, from https://www.newscientist.com/article/2237475-covid-19-news-uk-could-eliminate-coronavirus-entirely-say-scientists/
Tags
- WHO
- travel
- UK
- transmission
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- is:news
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- COVID-19
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- lang:en
- public health
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- strategy
Annotators
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Mann, P., Smith, V. A., Mitchell, J. B. O., & Dobson, S. (2020). Two-pathogen model with competition on clustered networks. ArXiv:2007.03287 [Physics, q-Bio]. http://arxiv.org/abs/2007.03287
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twitter.com twitter.com
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Dr. Angela Rasmussen on Twitter: “@jan7681 If I was asked to comment on the intricacies of the luxury electric car market or how to secure NASA contracts, I’d defer to him.” / Twitter. (n.d.). Twitter. Retrieved July 7, 2020, from https://twitter.com/angie_rasmussen/status/1278346632254259200
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www.healthline.com www.healthline.com
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Why Hanging Out at a Bar During the Pandemic Is a Terrible Idea. (2020, July 4). Healthline. https://www.healthline.com/health-news/why-hanging-out-at-a-bar-during-the-pandemic-is-a-terrible-idea
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www.theguardian.com www.theguardian.com
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Spiegelhalter, D. (2020, July 5). Risks, R numbers and raw data: How to interpret coronavirus statistics. The Observer. https://www.theguardian.com/world/2020/jul/05/risks-r-numbers-and-raw-data-how-to-interpret-coronavirus-statistics
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www.newscientist.com www.newscientist.com
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Taylor, L. (n.d.). How Cuba and Uruguay are quashing coronavirus as neighbours struggle. New Scientist. Retrieved July 6, 2020, from https://www.newscientist.com/article/2247740-how-cuba-and-uruguay-are-quashing-coronavirus-as-neighbours-struggle/
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www.nytimes.com www.nytimes.com
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Mandavilli, A. (2020, July 4). 239 Experts With One Big Claim: The Coronavirus Is Airborne. The New York Times. https://www.nytimes.com/2020/07/04/health/239-experts-with-one-big-claim-the-coronavirus-is-airborne.html
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www.biorxiv.org www.biorxiv.org
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Corbett, K. S., Edwards, D., Leist, S. R., Abiona, O. M., Boyoglu-Barnum, S., Gillespie, R. A., Himansu, S., Schäfer, A., Ziwawo, C. T., DiPiazza, A. T., Dinnon, K. H., Elbashir, S. M., Shaw, C. A., Woods, A., Fritch, E. J., Martinez, D. R., Bock, K. W., Minai, M., Nagata, B. M., … Graham, B. S. (2020). SARS-CoV-2 mRNA Vaccine Development Enabled by Prototype Pathogen Preparedness. BioRxiv, 2020.06.11.145920. https://doi.org/10.1101/2020.06.11.145920
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www.frontiersin.org www.frontiersin.org
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Cai, X., Ma, Y., Li, S., Chen, Y., Rong, Z., & Li, W. (2020). Clinical Characteristics of 5 COVID-19 Cases With Non-respiratory Symptoms as the First Manifestation in Children. Frontiers in Pediatrics, 8. https://doi.org/10.3389/fped.2020.00258
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www.biorxiv.org www.biorxiv.org
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Zhang, L., Jackson, C. B., Mou, H., Ojha, A., Rangarajan, E. S., Izard, T., Farzan, M., & Choe, H. (2020). The D614G mutation in the SARS-CoV-2 spike protein reduces S1 shedding and increases infectivity. BioRxiv, 2020.06.12.148726. https://doi.org/10.1101/2020.06.12.148726
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Su, Q., Hu, J., Lin, H., Zhang, Z., Zhu, E. C., Zhang, C., Wang, D., Gao, Z., & Cao, B. (2020). Prevalence and risks of severe events for cancer patients with COVID-19 infection: A systematic review and meta-analysis. MedRxiv, 2020.06.23.20136200. https://doi.org/10.1101/2020.06.23.20136200
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These Canadians say they suffered COVID-19 symptoms for months. (n.d.). Global News. Retrieved July 5, 2020, from https://globalnews.ca/news/7107137/coronavirus-long-term-symptoms/
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SARS-CoV-2 circulating in Italy in December 2019. (2020, June 29). News-Medical.Net. https://www.news-medical.net/news/20200629/SARS-CoV-2-circulating-in-Italy-in-December-2019.aspx
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Stickings, T. (2020, June 10). Secondary schools resume in Spain, Netherlands and South Africa. Mail Online. https://www.dailymail.co.uk/news/article-8406723/Secondary-schools-resume-Spain-Netherlands-South-Africa.html
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staff, T. O. I. (n.d.). Over 20 more schools closed as Israel sees largest daily virus rise in a month. Retrieved July 4, 2020, from https://www.timesofisrael.com/over-20-more-schools-closed-as-israel-sees-largest-daily-virus-rise-in-a-month/
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Heavey, L., Casey, G., Kelly, C., Kelly, D., & McDarby, G. (2020). No evidence of secondary transmission of COVID-19 from children attending school in Ireland, 2020. Eurosurveillance, 25(21), 2000903. https://doi.org/10.2807/1560-7917.ES.2020.25.21.2000903
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www.medrxiv.org www.medrxiv.org
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Fontanet, A., Tondeur, L., Madec, Y., Grant, R., Besombes, C., Jolly, N., Pellerin, S. F., Ungeheuer, M.-N., Cailleau, I., Kuhmel, L., Temmam, S., Huon, C., Chen, K.-Y., Crescenzo, B., Munier, S., Demeret, C., Grzelak, L., Staropoli, I., Bruel, T., … Hoen, B. (2020). Cluster of COVID-19 in northern France: A retrospective closed cohort study. MedRxiv, 2020.04.18.20071134. https://doi.org/10.1101/2020.04.18.20071134
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www.ncirs.org.au www.ncirs.org.au
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Report: COVID-19 in schools – the experience in NSW | NCIRS. (n.d.). Retrieved July 4, 2020, from http://www.ncirs.org.au/covid-19-in-schools
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www.jclinepi.com www.jclinepi.com
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Sperrin, M., Martin, G. P., Sisk, R., & Peek, N. (2020). Missing data should be handled differently for prediction than for description or causal explanation. Journal of Clinical Epidemiology, 0(0). https://doi.org/10.1016/j.jclinepi.2020.03.028
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twitter.com twitter.com
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Natalie E. Dean, PhD on Twitter: “THINK LIKE AN EPIDEMIOLOGIST: There are more new confirmed cases each day in the US than at any time during the earlier April peak. But is it really meaningful to compare those numbers? How do epidemiologists decide when to sound the alarm? A thread. 1/11 https://t.co/rPelzIvcxs” / Twitter. (n.d.). Twitter. Retrieved July 3, 2020, from https://twitter.com/nataliexdean/status/1278868210385915904
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COVID-19: Data Summary—NYC Health. (n.d.). Retrieved July 3, 2020, from https://www1.nyc.gov/site/doh/covid/covid-19-data.page
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www.newscientist.com www.newscientist.com
Tags
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assets.publishing.service.gov.uk assets.publishing.service.gov.uk
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Shah, C., Dehmamy, N., Perra, N., Chinazzi, M., Barabási, A.-L., Vespignani, A., & Yu, R. (2020). Finding Patient Zero: Learning Contagion Source with Graph Neural Networks. ArXiv:2006.11913 [Cs]. http://arxiv.org/abs/2006.11913
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www.nature.com www.nature.com
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Lavezzo, E., Franchin, E., Ciavarella, C., Cuomo-Dannenburg, G., Barzon, L., Del Vecchio, C., Rossi, L., Manganelli, R., Loregian, A., Navarin, N., Abate, D., Sciro, M., Merigliano, S., De Canale, E., Vanuzzo, M. C., Besutti, V., Saluzzo, F., Onelia, F., Pacenti, M., … Crisanti, A. (2020). Suppression of a SARS-CoV-2 outbreak in the Italian municipality of Vo’. Nature, 1–1. https://doi.org/10.1038/s41586-020-2488-1
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twitter.com twitter.com
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William Waites on Twitter: “(1/n) A rule-based experiment of coupling a social decision-making model with an infectious disease model to explore mask wearing. A thread. (H/T @davidmanheim @vee3my) #epitwitter #MaskUp #COVID19 https://t.co/ZxiyLAhxVn” / Twitter. (n.d.). Twitter. Retrieved July 1, 2020, from https://twitter.com/ve3hw/status/1277166708575424513
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covidtti.com covidtti.com
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KaSim in browser. (n.d.). Retrieved July 1, 2020, from https://covidtti.com/kasim/?model=https%3A//raw.githubusercontent.com/ptti/rule-based-models/master/models/masks.ka
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- Jun 2020
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twitter.com twitter.com
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Natalie E. Dean, PhD on Twitter: “Current mood of infectious disease epidemiologists in the US? Stressed. https://t.co/tmP9YUId2y” / Twitter. (n.d.). Twitter. Retrieved June 30, 2020, from https://twitter.com/nataliexdean/status/1277645905588559872
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zoom.us zoom.us
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Stanford, ©Copyright Stanford University, & California 94305. (n.d.). Webinar Registration—Zoom. Zoom Video. Retrieved June 24, 2020, from https://stanford.zoom.us/webinar/register/8915871539767/WN_hdE6KclXTAe3jJ4ouVXBQQ
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Younger Adults Are Increasingly Testing Positive For The Coronavirus. (n.d.). Retrieved June 28, 2020, from https://www.keranews.org/post/younger-adults-are-increasingly-testing-positive-coronavirus
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Landler, M., & Castle, S. (2020, June 26). For Boris Johnson’s Science Advisers, Pressure, Anxieties and ‘Pastoral Support.’ The New York Times. https://www.nytimes.com/2020/06/26/world/europe/sage-britain-coronavirus-ferguson.html
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Institute for Global Pandemic Planning Webinar. (n.d.). Retrieved June 27, 2020, from https://warwick.ac.uk/giving/projects/igpp/webinar/
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twitter.com twitter.com
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A Marm Kilpatrick on Twitter: “What is #herdimmunity threshold for #COVID19? A topic of much discussion due to large uncertainty & huge consequences for long term impact. New paper illustrates 1 key aspect that can reduce it substantially (spoiler: we still don’t know value). Thread. https://t.co/Sgrg1yrlOq” / Twitter. (n.d.). Twitter. Retrieved June 27, 2020, from https://twitter.com/diseaseecology/status/1275595167936868352
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www.medrxiv.org www.medrxiv.org
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Gomes, M. G. M., Corder, R. M., King, J. G., Langwig, K. E., Souto-Maior, C., Carneiro, J., Goncalves, G., Penha-Goncalves, C., Ferreira, M. U., & Aguas, R. (2020). Individual variation in susceptibility or exposure to SARS-CoV-2 lowers the herd immunity threshold. MedRxiv, 2020.04.27.20081893. https://doi.org/10.1101/2020.04.27.20081893
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England in danger of following same route as US on coronavirus, leading epidemiologist warns. (2020, June 24). The Independent. https://www.independent.co.uk/news/uk/politics/coronavirus-england-cases-uk-us-covid-19-peak-boris-johnson-a9584186.html
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Ranabothu, S., Onteddu, S., Nalleballe, K., Dandu, V., Veerapaneni, K., & Veerapandiyan, A. (2020). Spectrum of COVID-19 in Children. Acta Paediatrica (Oslo, Norway: 1992). https://doi.org/10.1111/apa.15412
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doi.org doi.org
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Willem, L., Hoang, T. V., Funk, S., Coletti, P., Beutels, P., & Hens, N. (2020). SOCRATES: An online tool leveraging a social contact data sharing initiative to assess mitigation strategies for COVID-19 [Preprint]. Epidemiology. https://doi.org/10.1101/2020.03.03.20030627
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Tufekci, Z. (2020, April 2). Don’t Believe the COVID-19 Models. The Atlantic. https://www.theatlantic.com/technology/archive/2020/04/coronavirus-models-arent-supposed-be-right/609271/
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Affairs, C., Economics, Medicine, & Science, P. (2020, May 15). How to think about uni-disciplinary advice. Marginal REVOLUTION. https://marginalrevolution.com/marginalrevolution/2020/05/how-to-think-about-uni-disciplinary-advice.html
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Kucharski, A. (n.d.). The pandemic playbook: A step-by-step guide to containing an outbreak. New Scientist. Retrieved June 17, 2020, from https://www.newscientist.com/article/mg24632871-500-the-pandemic-playbook-a-step-by-step-guide-to-containing-an-outbreak/
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☣️ Michael Ç̸̠͎͉̹̼̠͔̗̓̐̐̓̓̀͝͝. Bazaco ☣️ on Twitter: “The amount of experts who used to cry foul about people acting like experts in their field that have now chased the COVID story pretending to be virologists, ID epidemiologists, ID physicians, and/or infection control specialists to try and brand build is creepy and ghoulish. 😑” / Twitter. (n.d.). Twitter. Retrieved June 15, 2020, from https://twitter.com/mcbazacophd/status/1271597829065187328
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Li, Z., Chen, Q., Feng, L., Rodewald, L., Xia, Y., Yu, H., Zhang, R., An, Z., Yin, W., Chen, W., Qin, Y., Peng, Z., Zhang, T., Ni, D., Cui, J., Wang, Q., Yang, X., Zhang, M., Ren, X., … Li, S. (2020). Active case finding with case management: The key to tackling the COVID-19 pandemic. The Lancet, 0(0). https://doi.org/10.1016/S0140-6736(20)31278-2
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- economics
- is:article
- social distincing
- epidemic spreading
- GDP
- inventory dynamics
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- work from home
- demand
- consumption
- economic growth
- industry
- production
- reopening industry
- input-output constraints
- unemployment
- production network
- COVID-19
- United Kingdom
- epidemiology
Annotators
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Rader, B., Scarpino, S., Nande, A., Hill, A., Reiner, R., Pigott, D., Gutierrez, B., Shrestha, M., Brownstein, J., Castro, M., Tian, H., Pybus, O., & Kraemer, M. U. G. (2020). Crowding and the epidemic intensity of COVID-19 transmission [Preprint]. Epidemiology. https://doi.org/10.1101/2020.04.15.20064980
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Yong, S. E. F., Anderson, D. E., Wei, W. E., Pang, J., Chia, W. N., Tan, C. W., Teoh, Y. L., Rajendram, P., Toh, M. P. H. S., Poh, C., Koh, V. T. J., Lum, J., Suhaimi, N.-A. M., Chia, P. Y., Chen, M. I.-C., Vasoo, S., Ong, B., Leo, Y. S., Wang, L., & Lee, V. J. M. (2020). Connecting clusters of COVID-19: An epidemiological and serological investigation. The Lancet Infectious Diseases, S1473309920302735. https://doi.org/10.1016/S1473-3099(20)30273-5
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Bi, Q., Wu, Y., Mei, S., Ye, C., Zou, X., Zhang, Z., Liu, X., Wei, L., Truelove, S. A., Zhang, T., Gao, W., Cheng, C., Tang, X., Wu, X., Wu, Y., Sun, B., Huang, S., Sun, Y., Zhang, J., … Feng, T. (2020). Epidemiology and transmission of COVID-19 in 391 cases and 1286 of their close contacts in Shenzhen, China: A retrospective cohort study. The Lancet Infectious Diseases, S1473309920302875. https://doi.org/10.1016/S1473-3099(20)30287-5
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pubmed.ncbi.nlm.nih.gov pubmed.ncbi.nlm.nih.gov
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Yi, C., Aihong, W., Keqin, D., Haibo, W., Jianmei, W., Hongbo, S., Sijia,W., & Guozhang, X. (2020) The epidemiological characteristics of infection in close contacts of COVID-19 in Ningbo city. Chinese Journal of Epidemiology. Vol. 41 Issue (0):0-0. http://dx.doi.org/10.3760/cma.j.cn112338-20200304-00251
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Vespignani, A., Tian, H., Dye, C. et al. Modelling COVID-19. Nat Rev Phys (2020). https://doi.org/10.1038/s42254-020-0178-4
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- pharmaceutical
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- COVID-19
- policy
- isolation
- forecast
- epidemiology
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Annotators
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Fast Science and Philosophy of Science | Jacob Stegenga. (2020, May 11). BSPS. http://www.thebsps.org/auxhyp/fast-science-stegenga/
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Ebrahimi, O. V., Hoffart, A., & Johnson, S. U. (2020). The mental health impact of non-pharmacological interventions aimed at impeding viral transmission during the COVID-19 pandemic in a general adult population and the factors associated with adherence to these mitigation strategies [Preprint]. PsyArXiv. https://doi.org/10.31234/osf.io/kjzsp
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Drew, D. A., Nguyen, L. H., Steves, C. J., Menni, C., Freydin, M., Varsavsky, T., Sudre, C. H., Cardoso, M. J., Ourselin, S., Wolf, J., Spector, T. D., Chan, A. T., & Consortium§, C. (2020). Rapid implementation of mobile technology for real-time epidemiology of COVID-19. Science. https://doi.org/10.1126/science.abc0473
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Friston, K. J., Parr, T., Zeidman, P., Razi, A., Flandin, G., Daunizeau, J., Hulme, O. J., Billig, A. J., Litvak, V., Moran, R. J., Price, C. J., & Lambert, C. (2020). Dynamic causal modelling of COVID-19. ArXiv:2004.04463 [q-Bio]. http://arxiv.org/abs/2004.04463
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Zhang, J. et al. (2020, April 2). Evolving epidemiology and transmission dynamics of coronavirus disease 2019 outside Hubei province, China: a descriptive and modelling study. The Lancet: Infectious Diseases. https://doi.org/10.1016/S1473-3099(20)30230-9.
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Leon, D. A., Shkolnikov, V. M., Smeeth, L., Magnus, P., Pechholdová, M., & Jarvis, C. I. (2020). COVID-19: A need for real-time monitoring of weekly excess deaths. The Lancet, 395(10234), e81. https://doi.org/10.1016/S0140-6736(20)30933-8
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Hart, O. E., & Halden, R. U. (2020). Computational analysis of SARS-CoV-2/COVID-19 surveillance by wastewater-based epidemiology locally and globally: Feasibility, economy, opportunities and challenges. Science of The Total Environment, 730, 138875. https://doi.org/10.1016/j.scitotenv.2020.138875
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on the topic of working with sewage to detect viruses, there are new guidelines from the US CDC that require BSL-3 PPE.
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wastewater monitoring in Israel, for example, picked up a polio outbreak before any clinical cases appeared at all, according to a 2018 study.
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Viruses have a direct connection to wastewater and drinking water purification when they are excreted in feces or urine
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Thunstrom, L., Newbold, S., Finnoff, D., Ashworth, M., & Shogren, J. F. (2020). The Benefits and Costs of Using Social Distancing to Flatten the Curve for COVID-19 (SSRN Scholarly Paper ID 3561934). Social Science Research Network. https://doi.org/10.2139/ssrn.3561934
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www.ukri.org www.ukri.org
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COVID-19 therapy, vaccine, epidemiology and policy development research boosted by twenty-one new projects—UK Research and Innovation. (n.d.). Retrieved April 21, 2020, from https://www.ukri.org/news/covid-19-research-boosted-by-new-projects/
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speakerdeck.com speakerdeck.com
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Introduction & Tutorial to Network Epidemiology. (n.d.). Speaker Deck. Retrieved April 21, 2020, from https://speakerdeck.com/laurenthebert/introduction-and-tutorial-to-network-epidemiology
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Local file Local file
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wastewater treatment disease transmission studies from that time did not usually consider respiratory pathogens.
During the 1980s, there were few pathogens that were both known to initiate infection in the lungs and frequently occur in wastewater (U.S. Environmental Protection Agency, 1980). It was viewed as an anomaly if an enteric pathogen was “uniquely infectious by the aerosol route”, with the noted exception of the respiratory bacterium Mycobacterium tuberculosis
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rocs.hu-berlin.de rocs.hu-berlin.de
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6-day forecasts of COVID-19 case counts by country based on a novel epidemiological model that integrates the effect of population behavior changes due to government measures and social distancing.The SIR-X model is described in detail here: Effective containment explains sub-exponential growth in confirmed cases of recent COVID-19 outbreak in Mainland China, B. F. Maier & D. Brockmann, medRxiv, https://doi.org/10.1101/2020.02.18.20024414, (2020)The containment measures implemented in response to the growing pandemic vary drastically by country. Classical epidemiological models fail to capture the impact of such efforts on the spread of the outbreak. Under unconstrained conditions, we would see exponential growth in the number of confirmed cases. However, several graphs below indicate that this is not the case. These insights can be used to evaluate the effectiveness of containment strategies in order to inform further courses of action and future policies.Click a country below to view the forecasts for that country. Move the pointer to display the number of confirmed cases by date.The open dots indicate the total number of confirmed cases over time. The blue bars represent the new confirmed cases per day. The solid line depict the model's fit and subsequent predictions of case count numbers for the next 6 days as well as the expected new cases per day. The grey and red shaded regions represent the 98% and 68% confidence intervals, respectively.
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- Mar 2020
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www.medrxiv.org www.medrxiv.org
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www.thelancet.com www.thelancet.com
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www.ncbi.nlm.nih.gov www.ncbi.nlm.nih.gov
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www.nejm.org www.nejm.org
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unidad_COVID2019
DOI: 10.1056/NEJMoa2005412
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academic.oup.com academic.oup.com
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unidad_COVID2019
PMID: 32176772 DOI: 10.1093/cid/ciaa272
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annals.org annals.org
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unidad_COVID2019
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www.nejm.org www.nejm.org
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jamanetwork.com jamanetwork.com
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www-ncbi-nlm-nih-gov.pbidi.unam.mx:2443 www-ncbi-nlm-nih-gov.pbidi.unam.mx:2443
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www.nejm.org www.nejm.org
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unidad_COVID2019
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www.eurosurveillance.org www.eurosurveillance.org
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ghrp.biomedcentral.com ghrp.biomedcentral.com
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wwwnc.cdc.gov wwwnc.cdc.gov
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wwwnc.cdc.gov wwwnc.cdc.gov
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stm-sciencemag-org.pbidi.unam.mx:2443 stm-sciencemag-org.pbidi.unam.mx:2443
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www-nature-com.pbidi.unam.mx:2443 www-nature-com.pbidi.unam.mx:2443
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www.nature.com www.nature.com
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www.thelancet.com www.thelancet.com
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pubmed.ncbi.nlm.nih.gov pubmed.ncbi.nlm.nih.gov
- Nov 2019
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www.biorxiv.org www.biorxiv.org
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Transparent Peer Review
Download the complete Review Process [PDF] including:
- reviews
- authors' reply
- editorial decisions
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- Sep 2019
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www.theanalysisfactor.com www.theanalysisfactor.com
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The numerator is the same as that of a probability, but the denominator here is different. It’s not a measure of events out of all possible events. It’s a ratio of events to non-events. You can switch back and forth between probability and odds—both give you the same information, just on different scales. If O1 is the odds of event in the Treatment group and O2 is the odds of event in the control group then the odds ratio is O1/O2. Just like the risk ratio, it’s a way of measuring the effect of the tutoring program on the odds of an event.
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- Mar 2017
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www.defendingscience.org www.defendingscience.org
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“sufficient cause,” whichmeans a complete causal mechanism, can bedefined as a set of minimal conditions andevents that inevitably produce disease; “mini-mal” implies that all of the conditions orevents are necessary to that occurrence
Set of minimal conditions together define the sufficient cause or complete causal mechanism.
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