Estimating the COVID-19 infection fatality ratio accounting for seroreversion using statistical modelling
oleh: Nicholas F. Brazeau, Robert Verity, Sara Jenks, Han Fu, Charles Whittaker, Peter Winskill, Ilaria Dorigatti, Patrick G. T. Walker, Steven Riley, Ricardo P. Schnekenberg, Henrique Hoeltgebaum, Thomas A. Mellan, Swapnil Mishra, H. Juliette T. Unwin, Oliver J. Watson, Zulma M. Cucunubá, Marc Baguelin, Lilith Whittles, Samir Bhatt, Azra C. Ghani, Neil M. Ferguson, Lucy C. Okell
| Format: | Article |
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| Diterbitkan: | Nature Portfolio 2022-05-01 |
Deskripsi
Brazeau et al. use a statistical modelling approach to estimate COVID-19 infection fatality ratios from seroprevalence data. The authors’ model accounts for seroreversion over the course of the pandemic, as well as other important uncertainties such as serologic test characteristics.