To analyze how patterns of excess mortality varied by sex and age groups across countries during the COVID-19 pandemic and their association with country income level.
We used World Health Organization excess mortality estimates by sex and age groups for 75 countries in 2020 and 62 countries in 2021, restricting the sample to estimates based on recorded all-cause mortality data. We examined patterns across countries using country-specific Poisson regressions with observations consisting of the number of excess deaths by groups defined by sex and age.
Men die at higher rates in nearly all places and at all ages beyond age 45. In 2020, the pandemic amplified this gender mortality gap for the world, but with variation across countries and by country income level. In high-income countries, rates of excess mortality were much higher for men than women. In contrast, in middle-income countries, the sex ratio of excess mortality was similar to the sex ratio of expected all-cause mortality. The exacerbation of the sex ratio of excess mortality observed in 2020 in high-income countries, however, declined in 2021. The COVID-19 pandemic has killed men at much higher rates than women, as has been well documented, but these gender differences have varied by country income. These differences were the result of some combination of variation in gender patterns of infection rates and infection fatality rates across countries. The gender gap in mortality declined in high-income countries in 2021, likely as a result of the faster rollout of vaccination against COVID-19.
Repository name | Type | URI |
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Reproducible Research Repository (World Bank) | https://reproducibility.worldbank.org | |
covidmort-who-sexage | Github | https://github.com/pgubb/covidmort-who-sexage |
The code was reproduced on a computer with the following specifications:
– OS: Windows 11 Enterprise
– Processor: Intel(R) Core(TM) i5-1145G7 CPU @ 2.60GHz
– Memory available: 15.7 GB
– Software version: R version 4.3
~15 minutes runtime
To run the package a new user should download this package, restore the renv environment with renv::restore(), and render the file covidmort-who-sexage-results.qmd
All the data used in this study are available to the public. It's important to point out that, after an update in late 2023, the primary data used in this study from the World Health Organization's Technical Advisory Group on COVID-19 mortality assessment, is no longer available disaggregated by sex. Despite this, such specific data is contained in the package, guaranteeing full access to all the datasets employed in our research.
Author | Affiliation | |
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Kathleen Beegle | World Bank | kbeegle@worldbank.org |
Gabriel Demombynes | World Bank | gdemombynes@worldbank.org |
Damien de Walque | World Bank | ddewalque@worldbank.org |
Paul Gubbins | Independent consultant | paul.gubbins@gmail.com |
Jeremy Veillard | World Bank | jveillard@worldbank.org |
2024-03
Location | Code |
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World | WLD |
The materials in the reproducibility packages are distributed as they were prepared by the staff of the International Bank for Reconstruction and Development/The World Bank. The findings, interpretations, and conclusions expressed in this event do not necessarily reflect the views of the World Bank, the Executive Directors of the World Bank, or the governments they represent. The World Bank does not guarantee the accuracy of the materials included in the reproducibility package.
Name | URI |
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Modified BSD3 | https://opensource.org/license/bsd-3-clause/ |
Name | Affiliation | |
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Damien de Walque | World Bank | ddewalque@worldbank.org |
Reproducibility WBG | World Bank | reproducibility@worldbank.org |
Name | Abbreviation | Affiliation | Role |
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Reproducibility WBG | DIME | World Bank - Development Impact Department | Verification and preparation of metadata |
2024-03-21
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