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Cited by 496

The DOI matches its Crossref record; 4 of the 4 references it cites were found in a registry or an index.

Reductions in 2020 US life expectancy due to COVID-19 and the disproportionate impact on the Black and Latino populations

Open access
Andrasfay, Theresa, Goldman, Noreen·2021·Proceedings of the National Academy of Sciences

Abstract

Significance: COVID-19 has generated a huge mortality toll in the United States, with a disproportionate number of deaths occurring among the Black and Latino populations. Measures of life expectancy quantify these disparities in an easily interpretable way. We project that COVID-19 will reduce US life expectancy in 2020 by 1.13 y. Estimated reductions for the Black and Latino populations are 3 to 4 times that for Whites. Consequently, COVID-19 is expected to reverse over 10 y of progress made in closing the Black−White gap in life expectancy and reduce the previous Latino mortality advantage by over 70%. Some reduction in life expectancy may persist beyond 2020 because of continued COVID-19 mortality and long-term health, social, and economic impacts of the pandemic.

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Crossref · 10.1073/pnas.2014746118

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Metadata

Authors
Andrasfay, T., & Goldman, N.
Venue
Proceedings of the National Academy of Sciences
Published
2021-01-14
Volume
118
Issue
5
ISSN
  • 0027-8424 (ISSN-L)
  • 1091-6490
OpenAlex
W3119418071
Cited by
496
References
4
FWCI
173.40
Type
journal article
Language
en
Open access
green

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CoChat. (2026). Citation check: Reductions in 2020 US life expectancy due to COVID-19 and the disproportionate impact on the Black and Latino populations. https://app.cochat.ai/papers/10.1073/pnas.2014746118
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Andrasfay, T., & Goldman, N. (2021). Reductions in 2020 US life expectancy due to COVID-19 and the disproportionate impact on the Black and Latino populations. Proceedings of the National Academy of Sciences. https://doi.org/10.1073/pnas.2014746118

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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.