Selected article for: "infection fatality rate and SARS death"

Author: Banaji, M.
Title: Estimating COVID-19 infection fatality rate in Mumbai during 2020
  • Cord-id: p2heqjpg
  • Document date: 2021_4_10
  • ID: p2heqjpg
    Snippet: The aim of this piece is to estimate the infection fatality rate (IFR) of COVID-19 in Mumbai during 2020, namely the fraction of SARS-CoV-2 infections which resulted in death. The estimates are based on the city's seroprevalence and fatality data. This task runs into difficulties connected with obtaining reliable estimates of both the numerator (fatalities) and the denominator (infections). In the light of the many uncertainties, it makes most sense to present a range of values with transparent
    Document: The aim of this piece is to estimate the infection fatality rate (IFR) of COVID-19 in Mumbai during 2020, namely the fraction of SARS-CoV-2 infections which resulted in death. The estimates are based on the city's seroprevalence and fatality data. This task runs into difficulties connected with obtaining reliable estimates of both the numerator (fatalities) and the denominator (infections). In the light of the many uncertainties, it makes most sense to present a range of values with transparent discussion of assumptions and possible biases. We find that the estimates are consistent with meta-analyses of COVID-19 age-stratified IFR.

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