Infection fatality rate of COVID-19 inferred from seroprevalence data
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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
1Topics & keywords
Topics
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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