SARS-CoV-2 infections in 165 countries over time

https://doi.org/10.1016/j.ijid.2021.08.067Get rights and content
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Highlights

  • Understanding severe acute respiratory syndrome coronavirus(SARS-CoV-2) dynamics requires knowledge of the true number of infections.

  • Reported case counts alone often poorly reflect the pandemic’s actual dynamics.

  • The actual number of SARS-CoV-2 infections is estimated for 165 countries.

  • These weekly resolved estimates span from early 2020 until June 25, 2021.

  • These estimates are a valuable resource for further epidemiological analyses.

Abstract

Background: Understanding the dynamics of the COVID-19 pandemic and evaluating the efficacy of control measures requires knowledge of the number of infections over time. This number, however, often differs from the number of confirmed cases because of a large fraction of asymptomatic infections and different testing strategies.

Methods: This study uses death count statistics, age-dependent infection fatality risks, and stochastic modeling to estimate the prevalence of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) infections among adults (aged 20 years or older) in 165 countries over time, from early 2020 until June 25, 2021. The accuracy of the approach is confirmed through comparison with previous nationwide seroprevalence surveys.

Results: The estimates presented reveal that the fraction of infections that are detected vary widely over time and between countries, and hence confirmed cases alone often yield a false picture of the pandemic. As of June 25, 2021, the nationwide cumulative fraction of SARS-CoV-2 infections (cumulative infections relative to population size) was estimated as 98% (95% confidence interval [CI] 93–100%) for Peru, 83% (95% CI 61–94%) for Brazil, and 36% (95% CI 23–61%) for the United States.

Conclusions: The time-resolved estimates presented expand the possibilities to study the factors that influenced and still influence the pandemic’s progression in 165 countries.

Keywords

COVID-19
SARS-CoV-2
Prevalence
Time series
Infection fatality risk
Exponential growth rate

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