- Apr 2021
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twitter.com twitter.com
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Dr Lea Merone MBChB (hons) MPH&TM MSc FAFPHM Ⓥ. ‘I’m an Introvert and Being Thrust into the Centre of This Controversy Has Been Quite Confronting. I’ve Had a Little Processing Time Right Now and I Have a Few Things to Say. I Won’t Repeat @GidMK and His Wonderful Thread but I Will Say 1 This Slander of Us Both Has Been 1/n’. Tweet. @LeaMerone (blog), 29 March 2021. https://twitter.com/LeaMerone/status/1376365651892166658.
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twitter.com twitter.com
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Atomsk’s Sanakan. (2021, March 27). 1/J John Ioannidis published an article defending his low estimate of COVID-19’s fatality rate. It contains so many distortions that I’ll try something I’ve never done on Twitter for a paper: Go thru distortions page-by-page. This will take awhile. 😑 https://t.co/4wonxc6MFg https://t.co/AyV5RiwQnh [Tweet]. @AtomsksSanakan. https://twitter.com/AtomsksSanakan/status/1375935382139834373
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twitter.com twitter.com
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Health Nerd. (2021, March 28). Recently, Professor John Ioannidis, most famous for his meta-science and more recently COVID-19 work, published this article in the European Journal of Clinical Investigation It included, among other things, a lengthy personal attack on me Some thoughts 1/n https://t.co/JGfUrpJXh2 [Tweet]. @GidMK. https://twitter.com/GidMK/status/1376304539897237508
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Carl T. Bergstrom. (2021, March 28). In his latest paper about COVID infection fatality rates, John Ioannidis does not address the critiques from @GidMK, but instead engages in the most egregious gatekeeping that I have ever seen in a scientific paper. Https://t.co/P08sFIovD6 [Tweet]. @CT_Bergstrom. https://twitter.com/CT_Bergstrom/status/1376080062131269634
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onlinelibrary.wiley.com onlinelibrary.wiley.com
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Ioannidis, J. P. A. (n.d.). Reconciling estimates of global spread and infection fatality rates of COVID-19: An overview of systematic evaluations. European Journal of Clinical Investigation, n/a(n/a), e13554. https://doi.org/10.1111/eci.13554
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- Mar 2021
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www.medrxiv.org www.medrxiv.org
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Ioannidis, John P. A. (2020) ‘The Infection Fatality Rate of COVID-19 Inferred from Seroprevalence Data’. MedRxiv. https://doi.org/10.1101/2020.05.13.20101253.
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Poletti, P., Tirani, M., Cereda, D., Trentini, F., Guzzetta, G., Marziano, V., Buoro, S., Riboli, S., Crottogini, L., Piccarreta, R., Piatti, A., Grasselli, G., Melegaro, A., Gramegna, M., Ajelli, M., & Merler, S. (2020). Infection fatality ratio of SARS-CoV-2 in Italy. ArXiv:2007.04381 [q-Bio]. http://arxiv.org/abs/2007.04381
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www.medrxiv.org www.medrxiv.org
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O’Driscoll, M., Santos, G. R. D., Wang, L., Cummings, D. A. T., Azman, A. S., Paireau, J., Fontanet, A., Cauchemez, S., & Salje, H. (2020). Age-specific mortality and immunity patterns of SARS-CoV-2 infection in 45 countries. MedRxiv, 2020.08.24.20180851. https://doi.org/10.1101/2020.08.24.20180851
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www.washingtonpost.com www.washingtonpost.com
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Florida, N. E. D. E. D. is an assistant professor of biostatistics at the U. of. (n.d.). Perspective | Trump loves the ‘low’ daily death rate for covid. It won’t last. Washington Post. Retrieved July 22, 2020, from https://www.washingtonpost.com/outlook/trump-loves-the-low-daily-death-rate-for-covid-it-wont-last/2020/07/17/1cdfe752-c79d-11ea-b037-f9711f89ee46_story.html
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www.thelancet.com www.thelancet.com
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Mantha, S. (2020). Ratio, rate, or risk? The Lancet Infectious Diseases, 0(0). https://doi.org/10.1016/S1473-3099(20)30439-4
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www.theatlantic.com www.theatlantic.com
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Thompson, D. (2020, September 7). What Young, Healthy People Have to Fear From COVID-19. The Atlantic. https://www.theatlantic.com/ideas/archive/2020/09/what-young-healthy-people-have-fear-covid-19/616087/
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ourworldindata.org ourworldindata.org
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Coronavirus Pandemic Data Explorer. (n.d.). Our World in Data. Retrieved March 3, 2021, from https://ourworldindata.org/coronavirus-data-explorer
Tags
- Azerbaijan
- United Arab Emirates
- Isle of Man
- Singapore
- Somalia
- Belarus
- Madagascar
- Zambia
- Guinea
- Equatorial Guinea
- Cape Verde
- Chile
- Guatemala
- Japan
- Qatar
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- Bolivia
- Venezuela
- Europe
- Vatican
- Cambodia
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- Togo
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- Malawi
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Annotators
URL
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www.imperial.ac.uk www.imperial.ac.uk
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Imperial College London. ‘Report 34 - COVID-19 Infection Fatality Ratio Estimates from Seroprevalence’. Accessed 12 March 2021. http://www.imperial.ac.uk/medicine/departments/school-public-health/infectious-disease-epidemiology/mrc-global-infectious-disease-analysis/covid-19/report-34-ifr/.
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twitter.com twitter.com
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ReconfigBehSci on Twitter: ‘RT @AdamJKucharski: Summary of NERVTAG view on new SARS-CoV-2 variant, from 18 Dec (full document here: Https://t.co/yll9beVI9A) https://t.…’ / Twitter. (n.d.). Retrieved 2 March 2021, from https://twitter.com/SciBeh/status/1341034652082036739
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- Feb 2021
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www.bmj.com www.bmj.com
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Pastor-Barriuso, R., Pérez-Gómez, B., Hernán, M. A., Pérez-Olmeda, M., Yotti, R., Oteo-Iglesias, J., Sanmartín, J. L., León-Gómez, I., Fernández-García, A., Fernández-Navarro, P., Cruz, I., Martín, M., Delgado-Sanz, C., Larrea, N. F. de, Paniagua, J. L., Muñoz-Montalvo, J. F., Blanco, F., Larrauri, A., & Pollán, M. (2020). Infection fatality risk for SARS-CoV-2 in community dwelling population of Spain: Nationwide seroepidemiological study. BMJ, 371, m4509. https://doi.org/10.1136/bmj.m4509
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www.newstatesman.com www.newstatesman.com
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“The Eight Biggest Covid-Sceptic Myths – and Why They’re Wrong.” Accessed February 24, 2021. https://www.newstatesman.com/science-tech/coronavirus/2021/01/eight-biggest-covid-sceptic-myths-and-why-they-re-wrong.
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- Jan 2021
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Corral. A., (2020). Scientific comment on "Tail risk of contagious diseases" Cornell University Physics and Society. Retrieved from: https://arxiv.org/abs/2007.06876
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- Aug 2020
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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 25 July 2020, from https://covid-19.iza.org/publications/dp13521/
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www.nber.org www.nber.org
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Levin, A. T., Cochran, K. B., & Walsh, S. P. (2020). Assessing the Age Specificity of Infection Fatality Rates for COVID-19: Meta-Analysis & Public Policy Implications (Working Paper No. 27597; Working Paper Series). National Bureau of Economic Research. https://doi.org/10.3386/w27597
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www.nber.org www.nber.org
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Alvarez, F. E., Argente, D., & Lippi, F. (2020). A Simple Planning Problem for COVID-19 Lockdown (Working Paper No. 26981; Working Paper Series). National Bureau of Economic Research. https://doi.org/10.3386/w26981
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Manski, C. F., & Molinari, F. (2020). Estimating the COVID-19 Infection Rate: Anatomy of an Inference Problem (Working Paper No. 27023; Working Paper Series). National Bureau of Economic Research. https://doi.org/10.3386/w27023
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www.thelancet.com www.thelancet.com
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Arora, Rahul K., Abel Joseph, Jordan Van Wyk, Simona Rocco, Austin Atmaja, Ewan May, Tingting Yan, et al. ‘SeroTracker: A Global SARS-CoV-2 Seroprevalence Dashboard’. The Lancet Infectious Diseases 0, no. 0 (4 August 2020). https://doi.org/10.1016/S1473-3099(20)30631-9.
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- Jul 2020
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www.nber.org www.nber.org
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Atkeson, A. (2020). How Deadly Is COVID-19? Understanding The Difficulties With Estimation Of Its Fatality Rate (Working Paper No. 26965; Working Paper Series). National Bureau of Economic Research. https://doi.org/10.3386/w26965
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www.medrxiv.org www.medrxiv.org
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Golding, N., Russell, T. W., Abbott, S., Hellewell, J., Pearson, C. A. B., Zandvoort, K. van, Jarvis, C. I., Gibbs, H., Liu, Y., Eggo, R. M., Edmunds, J. W., & Kucharski, A. J. (2020). Reconstructing the global dynamics of under-ascertained COVID-19 cases and infections. MedRxiv, 2020.07.07.20148460. https://doi.org/10.1101/2020.07.07.20148460
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osf.io osf.io
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Dudel, C., Riffe, T., Acosta, E., van Raalte, A. A., Strozza, C., & Myrskylä, M. (2020). Monitoring trends and differences in COVID-19 case fatality rates using decomposition methods: Contributions of age structure and age-specific fatality [Preprint]. SocArXiv. https://doi.org/10.31235/osf.io/j4a3d
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twitter.com twitter.com
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New Scientist on Twitter: “Thread on #covid19 trends in the US: Coronavirus infections have surged since the start of June from around 20,000 new cases a day to over 60,000. (1/4) https://t.co/wVFwHWczYR” / Twitter. (n.d.). Twitter. Retrieved July 19, 2020, from https://twitter.com/newscientist/status/1283387188391149571
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- Jun 2020
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medium.com medium.com
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Spiegelhalter, D. (2020, June 15). What have been the fatal risks of Covid, particularly to children and younger adults? Medium. https://medium.com/wintoncentre/what-have-been-the-fatal-risks-of-covid-particularly-to-children-and-younger-adults-a5cbf7060c49
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twitter.com twitter.com
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Bergstrom, C. T. (2020, June 14). "1. Another day, another blog post of #COVID19 misinformation making the rounds." Twitter. https://twitter.com/CT_Bergstrom/status/1272007583222513664
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www.thelancet.com www.thelancet.com
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Okell, L. C., Verity, R., Watson, O. J., Mishra, S., Walker, P., Whittaker, C., Katzourakis, A., Donnelly, C. A., Riley, S., Ghani, A. C., Gandy, A., Flaxman, S., Ferguson, N. M., & Bhatt, S. (2020). Have deaths from COVID-19 in Europe plateaued due to herd immunity? The Lancet, 0(0). https://doi.org/10.1016/S0140-6736(20)31357-X
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fivethirtyeight.com fivethirtyeight.com
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Koerth, M. (2020, March 31). Why It’s So Freaking Hard To Make A Good COVID-19 Model. FiveThirtyEight. https://fivethirtyeight.com/features/why-its-so-freaking-hard-to-make-a-good-covid-19-model/
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- May 2020
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www.thelancet.com www.thelancet.com
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Verity, R., Okell, L., Dorigatti, I., Winskill, P., Whittaker, C., Walker, P., Donnelly, C., Ferguson, N., & Ghani, A. (2020). COVID-19 and the difficulty of inferring epidemiological parameters from clinical data – Authors’ reply. The Lancet Infectious Diseases, 0(0). https://doi.org/10.1016/S1473-3099(20)30443-6
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www.thelancet.com www.thelancet.com
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Wood, S. N., Wit, E. C., Fasiolo, M., & Green, P. J. (2020). COVID-19 and the difficulty of inferring epidemiological parameters from clinical data. The Lancet Infectious Diseases, 0(0). https://doi.org/10.1016/S1473-3099(20)30437-0
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www.thelancet.com www.thelancet.com
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Glynn, J. R. (2020). Protecting workers aged 60–69 years from COVID-19. The Lancet Infectious Diseases, 0(0). https://doi.org/10.1016/S1473-3099(20)30311-X
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- Apr 2020
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cmmid.github.io cmmid.github.io
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Russell, T.W., Hellewell, J., Abbott, S., Golding, N.,Gibbs, H., Jarvis, C.I., van Zandvoort, K., Flasche, S., Eggo, R., Edmunds, W.J., Kucharski., A.J. (2020, March 22). Using a delay-adjusted case fatality ratio to estimate under-reporting. CMMID Repository. https://cmmid.github.io/topics/covid19/global_cfr_estimates.html
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cmmid.github.io cmmid.github.io
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Russel, T.W., Hellewell, J., Abbott, S., Golding, N., Gibbs, H., Jarvis, C.I., van Zandvoort, K., Flasche, S., Eggo, R., Edmunds, W.J., Kucharski, A.J., (2020). Using a delay-adjusted case fatality ratio to estimate under-reporting. CMMID. https://cmmid.github.io/topics/covid19/severity/global_cfr_estimates.html
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www.thelancet.com www.thelancet.com
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Verity, R., Okell, L. C., Dorigatti, I., Winskill, P., Whittaker, C., Imai, N., Cuomo-Dannenburg, G., Thompson, H., Walker, P. G. T., Fu, H., Dighe, A., Griffin, J. T., Baguelin, M., Bhatia, S., Boonyasiri, A., Cori, A., Cucunubá, Z., FitzJohn, R., Gaythorpe, K., … Ferguson, N. M. (2020). Estimates of the severity of coronavirus disease 2019: A model-based analysis. The Lancet Infectious Diseases, S1473309920302437. https://doi.org/10.1016/S1473-3099(20)30243-7
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onlinelibrary.wiley.com onlinelibrary.wiley.com
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Giangreco, G. (n.d.). Case fatality rate analysis of Italian COVID-19 outbreak. Journal of Medical Virology, n/a(n/a). https://doi.org/10.1002/jmv.25894
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