Estimating excess mortality due to the COVID-19 pandemic: a systematic analysis of COVID-19-related mortality, 2020-21

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art_WANG_Estimating_excess_mortality_due_to_the_COVID19_pandemic_2022.PDF (5.33 MB)
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885
Tipo de produção
article
Data de publicação
2022
DOI
Scopus
Web of Science
PubMed
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Editora
ELSEVIER SCIENCE INC
Autores
WANG, Haidong
PAULSON, Katherine R.
PEASE, Spencer A.
WATSON, Stefanie
COMFORT, Haley
ZHENG, Peng
ARAVKIN, Aleksandr Y.
BISIGNANO, Catherine
BARBER, Ryan M.
ALAM, Tahiya
Citação
LANCET, v.399, n.10334, p.1513-1536, 2022
Projetos de Pesquisa
Unidades Organizacionais
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Resumo
Background Mortality statistics are fundamental to public health decision making. Mortality varies by time and location, and its measurement is affected by well known biases that have been exacerbated during the COVID-19 pandemic. This paper aims to estimate excess mortality from the COVID-19 pandemic in 191 countries and territories, and 252 subnational units for selected countries, from Jan 1, 2020, to Dec 31, 2021. Methods All-cause mortality reports were collected for 74 countries and territories and 266 subnational locations (including 31 locations in low-income and middle-income countries) that had reported either weekly or monthly deaths from all causes during the pandemic in 2020 and 2021, and for up to 11 year previously. In addition, we obtained excess mortality data for 12 states in India. Excess mortality over time was calculated as observed mortality, after excluding data from periods affected by late registration and anomalies such as heat waves, minus expected mortality. Six models were used to estimate expected mortality; final estimates of expected mortality were based on an ensemble of these models. Ensemble weights were based on root mean squared errors derived from an out-of-sample predictive validity test. As mortality records are incomplete worldwide, we built a statistical model that predicted the excess mortality rate for locations and periods where all-cause mortality data were not available. We used least absolute shrinkage and selection operator (LASSO) regression as a variable selection mechanism and selected 15 covariates, including both covariates pertaining to the COVID-19 pandemic, such as seroprevalence, and to background population health metrics, such as the Healthcare Access and Quality Index, with direction of effects on excess mortality concordant with a meta-analysis by the US Centers for Disease Control and Prevention. With the selected best model, we ran a prediction process using 100 draws for each covariate and 100 draws of estimated coefficients and residuals, estimated from the regressions run at the draw level using draw-level input data on both excess mortality and covariates. Mean values and 95% uncertainty intervals were then generated at national, regional, and global levels. Out-of-sample predictive validity testing was done on the basis of our final model specification. Findings Although reported COVID-19 deaths between Jan 1, 2020, and Dec 31, 2021, totalled 5 center dot 94 million worldwide, we estimate that 18 center dot 2 million (95% uncertainty interval 17 center dot 1-19 center dot 6) people died worldwide because of the COVID-19 pandemic (as measured by excess mortality) over that period. The global all-age rate of excess mortality due to the COVID-19 pandemic was 120 center dot 3 deaths (113 center dot 1-129 center dot 3) per 100 000 of the population, and excess mortality rate exceeded 300 deaths per 100 000 of the population in 21 countries. The number of excess deaths due to COVID-19 was largest in the regions of south Asia, north Africa and the Middle East, and eastern Europe. At the country level, the highest numbers of cumulative excess deaths due to COVID-19 were estimated in India (4 center dot 07 million [3 center dot 71-4 center dot 36]), the USA (1 center dot 13 million [1 center dot 08-1 center dot 18]), Russia (1 center dot 07 million [1 center dot 06-1 center dot 08]), Mexico (798 000 [741 000-867 000]), Brazil (792 000 [730 000-847 000]), Indonesia (736 000 [594 000-955 000]), and Pakistan (664 000 [498 000-847 000]). Among these countries, the excess mortality rate was highest in Russia (374 center dot 6 deaths [369 center dot 7-378 center dot 4] per 100 000) and Mexico (325 center dot 1 [301 center dot 6-353 center dot 3] per 100 000), and was similar in Brazil (186 center dot 9 [172 center dot 2-199 center dot 8] per 100 000) and the USA (179 center dot 3 [170 center dot 7-187 center dot 5] per 100 000). Interpretation The full impact of the pandemic has been much greater than what is indicated by reported deaths due to COVID-19 alone. Strengthening death registration systems around the world, long understood to be crucial to global public health strategy, is necessary for improved monitoring of this pandemic and future pandemics. In addition, further research is warranted to help distinguish the proportion of excess mortality that was directly caused by SARS-CoV-2 infection and the changes in causes of death as an indirect consequence of the pandemic. Funding Bill & Melinda Gates Foundation, J Stanton, T Gillespie, and J and E Nordstrom
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https://observatorio.fm.usp.br/handle/OPI/48298
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Coleções
Artigos e Materiais de Revistas Científicas - FM/MCM
Artigos e Materiais de Revistas Científicas - COVID-19
Artigos e Materiais de Revistas Científicas - LIM/20
Artigos e Materiais de Revistas Científicas - ODS/03
Artigos e Materiais de Revistas Científicas - ODS/10