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Racial and Ethnic Disparities in Population-Level Covid-19 Mortality
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“Our ability to observe more specific geographic and demographic disparities is constrained by the limitations of available data, but we can infer from other analyses that caregiver loss is even more heavily concentrated in vulnerable populations than shown in our results.”
From Parental and Other Caregiver Loss Due to COVID-19 in the United States: Prevalence by Race, State, Relationship, and Child Age (2023) · cites this paper as [11]
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“Low-income individuals are at highest risk of death from COVID-19 and low-income counties faced disproportionately large shares of COVID-19 deaths, even after controlling for other indicators of wellbeing in two studies focused on individual and communitylevel associations with COVID-19 mortality rates of all persons [11, 28].”
From Parental and Other Caregiver Loss Due to COVID-19 in the United States: Prevalence by Race, State, Relationship, and Child Age (2023) · cites this paper as [11]
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- APM Research Lab Staff. The color of Coronovirus: Covid-19 deaths by race and ethnicity in the U.S. Associated Press News. 2020.
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Metadata
- Authors
- Gross, C. P., Essien, U. R., Pasha, S., Gross, J. R., Wang, S.-Y., & Nunez-Smith, M.
- Affiliations
- Yale Cancer Center (US)
- University of Pittsburgh (US)
- Tufts University (US)
- Corresponding author
- Gross, Cary P.
- Venue
- Journal of General Internal Medicine
- Published
- 2020-08-04
- Volume
- 35
- Issue
- 10
- Pages
- 3097-3099
- ISSN
- 0884-8734 (ISSN-L)
- 1525-1497
- PMC
- PMC7402388
- OpenAlex
- W3046980818
- Cited by
- 410
- References
- 2
- Citations by year
- 2026: 9 · 2025: 16 · 2024: 26 · 2023: 65 · 2022: 106 · 2021: 136 · 2020: 51
- FWCI
- 14.23
- Type
- journal article
- Language
- en
- Open access
- bronze
- doi.org
- Locations
- Journal of General Internal Medicine (publishedVersion)
- medRxiv (acceptedVersion)
- PubMed Central (publishedVersion)
- PubMed (publishedVersion)
- Funders
- Pfizer
- Yale University
- National Comprehensive Cancer Network
- Flatiron Health
- National Institutes of Health (UL1TR001863)
- National Center for Advancing Translational Sciences
- Topics
- Physical Sciences › Mathematics › Modeling and Simulation › COVID-19 epidemiological studies
- Health Sciences › Medicine › Infectious Diseases › COVID-19 Clinical Research Studies
- Health Sciences › Health Professions › General Health Professions › Healthcare Systems and Challenges
- Keywords
- COVID-19 mortality, racial and ethnic disparities, African Americans, Hispanic Americans, age-adjusted mortality, indirect standardization, standardized mortality ratio, racial disparities in health, COVID-19 pandemic, United States states, New York City, New Jersey, New York, California, Texas
- MeSH terms
- Data Accuracy, Betacoronavirus, COVID-19, SARS-CoV-2, Adult, Aged, Aged, 80 and over, Black or African American, Cross-Sectional Studies, Female, Hispanic or Latino, Humans, Male, Middle Aged, Pneumonia, Viral, United States, Coronavirus Infections, White People, Health Status Disparities, Pandemics
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
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