Agreement between seroprevalence- and model-based estimates of COVID-19 burden

The severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) pandemic caused significant global harm. Seroprevalence studies detected antibody increases from SARS-CoV-2 infection, assessing transmission and risk from infection. These studies and epidemiological modeling informed public health policy and behavior. Biases in early seroprevalence analyses caused underestimation of fatality risk, including the risk posed to pediatric populations and to those in lower-income nations. The scope of the pandemic was clarified by seroprevalence studies that better assessed at-risk groups and by adjustment of seroprevalence data for known data biases. Reassessment of seroprevalence data confirms the accuracy of early modeling. Public health authorities should inform the public of this modeling success and of the limitations of early seroprevalence analyses. This will prepare the public to better assess global health risk during future pandemics.

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Publication Details

Journal
Global Health Action
Published
2026-06-09
DOI
https://doi.org/10.1080/16549716.2026.2683286
Primary Topic
COVID-19 epidemiological studies
Type
article
Field-Weighted Citation Impact
0.00
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article

Agreement between seroprevalence- and model-based estimates of COVID-19 burden

Nana Owusu‐Boaitey, Jonathan Howard, David H. Gorski, Gideon Meyerowitz‐Katz et al.
Global Health Action
COVID-19 epidemiological studies
article

Agreement between seroprevalence- and model-based estimates of COVID-19 burden

Nana Owusu‐Boaitey, Jonathan Howard, David H. Gorski, Gideon Meyerowitz‐Katz, Антон Барчук, Lonni Besançon, Lucas Böttcher
article en

Abstract

The severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) pandemic caused significant global harm. Seroprevalence studies detected antibody increases from SARS-CoV-2 infection, assessing transmission and risk from infection. These studies and epidemiological modeling informed public health policy and behavior. Biases in early seroprevalence analyses caused underestimation of fatality risk, including the risk posed to pediatric populations and to those in lower-income nations. The scope of the pandemic was clarified by seroprevalence studies that better assessed at-risk groups and by adjustment of seroprevalence data for known data biases. Reassessment of seroprevalence data confirms the accuracy of early modeling. Public health authorities should inform the public of this modeling success and of the limitations of early seroprevalence analyses. This will prepare the public to better assess global health risk during future pandemics.

Global Health ActionVol. 19(1)
Linköping University (SE), ITMO University (RU), European University at Saint Petersburg (RU), Wayne State University (US), University of Wollongong (AU), University of Florida (US), NYU Langone Health (US), University of Maryland, College Park (US), Frankfurt School of Finance & Management (DE)
Good health and well-being
Openalex Percentile: Top 7%
COVID-19 epidemiological studies
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Agreement between seroprevalence- and model-based estimates of COVID-19 burden — Nana Owusu‐Boaitey, Jonathan Howard, et al. · Global Health Action (2026) | TGRS Research Map | TGRS