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Widespread COVID death underreporting around the world raises broader questions (opens in a new tab)

medicalxpress.com · 2026-09-09

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  • 5 supported
  • 2 not covered

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Every claim we could check holds up. Five of seven claims match the study. This overall rating is based only on the claims we could check. Two claims the study doesn't address.

  • 5 supported
  • 2 not covered
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What the story carried across

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7 things the story did carry across
  • The paper constructs comparable country-level estimates of Covid mortality misreporting for 2020–2021 across 134 countries using hand-collected multi-source data and excess-mortality-based estimates.
  • The paper reports major aggregate undercounting: 5.08 million officially reported deaths versus 12.47 million estimated actual Covid mortality in 2020–2021.
  • The paper reports that 45%–55% of governments misreported Covid deaths and that misreporting primarily took the form of downplaying rather than exaggerating mortality.
  • The paper assesses whether misreporting can be explained by administrative/statistical capacity and concludes that the majority cannot be attributed to capacity to diagnose and report deaths.
  • The paper analyzes political and institutional correlates of misreporting, including social/institutional constraints, elections during the pandemic period, and communist legacy.
  • The paper’s correlational design and abstract-level profile do not establish causation for institutional, election, communist-legacy, or audience-sophistication relationships.
  • The estimates depend on excess-mortality-based inference and the coverage, quality, and harmonization of hand-collected mortality data.
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1Lead resultsecondary dataProduce comparable country-level estimates of governmental misreporting of Covid mortality in 2020–2021 (extent, direction, and magnitude) using excess mortality and other sources across 134 countries.secondary dataExpand

In plain English

Paper constructs comparable country-level estimates of governmental misreporting of Covid mortality for 2020–2021 across 134 countries by hand-collecting multi-source data and estimating ‘actual’ Covid mortality via excess-mortality-based methods, then comparing those estimates to officially reported Covid deaths to quantify prevalence, magnitude, and direction of misreporting.

Key findings

  • Prevalence of misreporting: between 45%–55% of governments misreport the number of Covid deaths (2020–2021).45%–55%
  • Magnitude (aggregate): the countries in the study reported 5.08 million Covid deaths during 2020–2021, whereas estimated actual Covid mortality was 12.47 million (more than double the reported total).Reported 5.08 million vs estimated 12.47 million (2020–2021)
“We hand-collect data from a variety of sources in 134 countries to estimate misreporting of Covid mortality in 2020-2021.”
What this piece can’t prove
  • Results cover the period 2020–2021 and a sample of 134 countries; findings may not generalize beyond this timeframe or sample.
  • Estimates rely on excess-mortality-based inference of 'actual' Covid deaths and on the quality and harmonization of hand-collected multi-source data.

1 further detail could not be confirmed from the summary.

2secondary dataAssess whether observed misreporting can be explained by countries’ administrative/statistical capacity to diagnose and report deaths versus deliberate information manipulation.Cross-country regression/decomposition using capacity proxiesExpand

In plain English

The paper evaluates whether observed cross-country misreporting of COVID-19 mortality in 2020–2021 can be explained by countries' administrative/statistical capacity to diagnose and report deaths versus deliberate information manipulation. Using hand-collected data covering 134 countries, the authors construct a country-level misreporting measure and apply cross-country analytical methods (regression/decomposition with capacity proxies) to assess how much misreporting is attributable to reporting capacity. They report that the majority of misreporting cannot be explained by capacity constraints, implying deliberate downplaying of mortality in many countries.

Key findings

  • The majority of observed misreporting of COVID-19 mortality across countries cannot be explained by limitations in administrative or statistical capacity to diagnose and report deaths.
  • When misreporting is present, it typically reflects downplaying the severity of the crisis rather than exaggeration.
“The lion’s share of misreporting cannot be attributed to a country’s capacity to accurately diagnose and report deaths.”
What this piece can’t prove
  • No abstract details on causal identification strategy or the quantitative contribution (percentage) of capacity-related factors versus residual misreporting.

1 further detail could not be confirmed from the summary.

3secondary dataTest correlates/predictors of misreporting consistent with incentive/constraint theories (macroeconomic incentives, culture, audience sophistication, institutions; elections; communist legacy).Cross-country regression analysisExpand

In plain English

Cross-country correlational analysis testing political and institutional predictors of country-level misreporting of Covid mortality (2020–2021). Using a hand-collected misreporting measure across countries, the paper tests associations with macroeconomic incentives, culture, audience sophistication, and institutional/political variables (notably elections during 2020–2021 and communist legacy) and reports higher misreporting where social and institutional constraints are weaker, in countries holding elections during the period, and in countries with a communist legacy.

Key findings

  • Misreporting of Covid mortality is higher in countries with fewer social and institutional constraints on governments.
  • Countries that held elections during 2020–2021 exhibit higher levels of misreporting.
“What characterizes governments that manipulate information? We examine the role of macroeconomic incentives, culture, audience sophistication, and institutions.”
What this piece can’t prove
  • Cross-country correlational design limits causal inference; unobserved confounding and measurement error in covariates may affect estimates.
  • Abstract does not report effect sizes, confidence intervals, or model fit statistics for the reported associations.

1 further detail could not be confirmed from the summary.

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Open the paper in Tessa

Manipulation of information in times of crisis: evidence from Covid excess mortality

Journal of Economic Growth · 2026

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