reviewBulletin of the World Health OrganizationOct 14, 2020DIAMOND OA

Infection fatality rate of COVID-19 inferred from seroprevalence data

Stanford University

PubMed
Indexed incrossrefdoajpubmed

Abstract

Objective

To estimate the infection fatality rate of coronavirus disease 2019 (COVID-19) from seroprevalence data.

Methods

I searched PubMed and preprint servers for COVID-19 seroprevalence studies with a sample size ≥ 500 as of 9 September 2020. I also retrieved additional results of national studies from preliminary press releases and reports. I assessed the studies for design features and seroprevalence estimates. I estimated the infection fatality rate for each study by dividing the cumulative number of COVID-19 deaths by the number of people estimated to be infected in each region. I corrected for the number of immunoglobin (Ig) types tested (IgG, IgM, IgA).

Citation impact

595
total citations
FWCI
13.79
Percentile
100%
References
87
Citations per year

Authors

1

Topics & keywords

Keywords
  • Seroprevalence
  • Case fatality rate
  • Medicine
  • Coronavirus disease 2019 (COVID-19)
  • Population
  • Demography
  • Mortality rate
  • Environmental health
UN Sustainable Development Goals
  • Good health and well-being
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