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. 2023 Feb 9;401(10375):432–433. doi: 10.1016/S0140-6736(23)00115-0

Conflicting COVID-19 excess mortality estimates

Peter Bager a, Jens Nielsen a, Samir Bhatt b,c, Lise Birk Nielsen a, Tyra Grove Krause a, Lasse Skafte Vestergaard a; The EuroMOMO Network, on behalf of
PMCID: PMC9910844  PMID: 36774151

Excess mortality is an important metric summarising COVID-19 disease burden, informing public health policy and future preparedness needs.1 However, separating the deaths that occurred from COVID-19 versus those from all other causes is challenging. Essentially, the unknowns are the counterfactual, should an infection wave not have happened. A solution to this challenge is to estimate expected number of individuals who would have died and compare this with the observed number of deaths. The estimation of expected number of deaths must consider changes in population and seasonal dynamics and be based on an appropriate reference period. The COVID-19 Excess Mortality Collaborators2 present an important study that estimates 18·2 million excess deaths spread across 191 countries and territories in the first 2 years of the COVID-19 pandemic, 2020 and 2021. The authors use an ensemble-based approach to estimate global excess mortality due to data paucity in many countries. Although this global estimate might be broadly correct and serves as an important reminder of the effect of COVID-19, we strongly caution against the over-interpretation of the constituent country estimates. For European countries, we instead recommend the use of EuroMOMO—a standard and coordinated approach for mortality monitoring in Europe. EuroMOMO estimates expected excess mortality, correcting for delay in registration and changes in population and seasonality during a 5-year reference period.3 EuroMOMO excess mortality estimates include both surplus and deficit mortality, with deficit mortality expected under stringent control restrictions. Whether the COVID-19 Excess Mortality Collaborators2 consider both surplus and deficit mortality is unclear.

We find conflicting estimates of excess mortality for several countries with reliable and near complete mortality reporting. For example, for Denmark, the authors2 predicted an excess mortality of 203% higher than the estimate from EuroMOMO. The trend in increasing excess mortality in the later part of 2021 estimated by the study2 is inconsistent with trends reported from the Danish health authorities, the total mortality, and the EuroMOMO excess mortality. The COVID-19 Excess Mortality Collaborators2 do not provide details on these discrepancies and do not provide their weights and background estimates for all countries. Because of the inconsistencies shown in our table (appendix p 1), we caution both the use and over-interpretation of individual country estimates from the study.2 Although the estimates from this study2 are important in a global perspective, for individual countries with good health-care reporting, nationally reported estimates (eg, from EuroMOMO) are probably more reliable.

For more on EuroMOMO see: https://www.euromomo.eu/]

We declare no competing interests.

Supplementary Material

Supplementary appendix
mmc1.pdf (770.5KB, pdf)

References

  • 1.Vestergaard LS, Mølbak K. Timely monitoring of total mortality associated with COVID-19: informing public health and the public. Euro Surveill. 2020;25:2001591. doi: 10.2807/1560-7917.ES.2020.25.34.2001591. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 2.COVID-19 Excess Mortality Collaborators Estimating excess mortality due to the COVID-19 pandemic: a systematic analysis of COVID-19-related mortality, 2020-21. Lancet. 2022;399:1513–1536. doi: 10.1016/S0140-6736(21)02796-3. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 3.Nielsen J, Mazick A, Andrews N, et al. Pooling European all-cause mortality: methodology and findings for the seasons 2008/2009 to 2010/2011. Epidemiol Infect. 2013;141:1996–2010. doi: 10.1017/S0950268812002580. [DOI] [PMC free article] [PubMed] [Google Scholar]

Associated Data

This section collects any data citations, data availability statements, or supplementary materials included in this article.

Supplementary Materials

Supplementary appendix
mmc1.pdf (770.5KB, pdf)

Articles from Lancet (London, England) are provided here courtesy of Elsevier

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