Communications Medicine (May 2022)

Estimating the COVID-19 infection fatality ratio accounting for seroreversion using statistical modelling

  • 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

DOI
https://doi.org/10.1038/s43856-022-00106-7
Journal volume & issue
Vol. 2, no. 1
pp. 1 – 13

Abstract

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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.