Tracking excess mortality across countries during the COVID-19 pandemic with the World Mortality Dataset

Author:

Karlinsky Ariel1ORCID,Kobak Dmitry2ORCID

Affiliation:

1. Hebrew University, Jerusalem, Israel

2. Institute for Ophthalmic Research, University of Tübingen, Tübingen, Germany

Abstract

Comparing the impact of the COVID-19 pandemic between countries or across time is difficult because the reported numbers of cases and deaths can be strongly affected by testing capacity and reporting policy. Excess mortality, defined as the increase in all-cause mortality relative to the expected mortality, is widely considered as a more objective indicator of the COVID-19 death toll. However, there has been no global, frequently updated repository of the all-cause mortality data across countries. To fill this gap, we have collected weekly, monthly, or quarterly all-cause mortality data from 103 countries and territories, openly available as the regularly updated World Mortality Dataset. We used this dataset to compute the excess mortality in each country during the COVID-19 pandemic. We found that in several worst-affected countries (Peru, Ecuador, Bolivia, Mexico) the excess mortality was above 50% of the expected annual mortality (Peru, Ecuador, Bolivia, Mexico) or above 400 excess deaths per 100,000 population (Peru, Bulgaria, North Macedonia, Serbia). At the same time, in several other countries (e.g. Australia and New Zealand) mortality during the pandemic was below the usual level, presumably due to social distancing measures decreasing the non-COVID infectious mortality. Furthermore, we found that while many countries have been reporting the COVID-19 deaths very accurately, some countries have been substantially underreporting their COVID-19 deaths (e.g. Nicaragua, Russia, Uzbekistan), by up to two orders of magnitude (Tajikistan). Our results highlight the importance of open and rapid all-cause mortality reporting for pandemic monitoring.

Funder

Deutsche Forschungsgemeinschaft

Federal Ministry of Education and Research

National Institutes of Health

Publisher

eLife Sciences Publications, Ltd

Subject

General Immunology and Microbiology,General Biochemistry, Genetics and Molecular Biology,General Medicine,General Neuroscience

Reference74 articles.

1. Statistical Theory

2. The leading causes of death in the US for 2020;Ahmad;JAMA,2021

3. The Texas Winter Storm and Power Outages Killed Hundreds More People Than the State Says;Aldhous,2021

4. Italy's first wave of the COVID-19 pandemic has ended: no excess mortality in May, 2020;Alicandro;The Lancet,2020

5. Seroprevalence of anti-SARS-CoV-2 antibodies in Iquitos, Peru in July and August, 2020: a population-based study;Álvarez-Antonio;The Lancet Global Health,2021

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