<HashMap><database>biostudies-literature</database><scores/><additional><omics_type>Unknown</omics_type><volume>66</volume><submitter>Im C</submitter><pubmed_abstract>&lt;b>Objectives:&lt;/b> To quantify the Black/Hispanic disparity in COVID-19 mortality in the United States (US). &lt;b>Methods:&lt;/b> COVID-19 deaths in all US counties nationwide were analyzed to estimate COVID-19 mortality rate ratios by county-level proportions of Black/Hispanic residents, using mixed-effects Poisson regression. Excess COVID-19 mortality counts, relative to predicted under a counterfactual scenario of no racial/ethnic disparity gradient, were estimated. &lt;b>Results:&lt;/b> County-level COVID-19 mortality rates increased monotonically with county-level proportions of Black and Hispanic residents, up to 5.4-fold (≥43% Black) and 11.6-fold (≥55% Hispanic) higher compared to counties with &lt;5% Black and &lt;15% Hispanic residents, respectively, controlling for county-level poverty, age, and urbanization level. Had this disparity gradient not existed, the US COVID-19 death count would have been 92.1% lower (177,672 fewer deaths), making the rate comparable to other high-income countries with substantially lower COVID-19 death counts. &lt;b>Conclusion:&lt;/b> During the first 8 months of the SARS-CoV-2 pandemic, the US experienced the highest number of COVID-19 deaths. This COVID-19 mortality burden is strongly associated with county-level racial/ethnic diversity, explaining most US COVID-19 deaths.</pubmed_abstract><journal>International journal of public health</journal><pagination>1604004</pagination><full_dataset_link>https://www.ebi.ac.uk/biostudies/studies/S-EPMC8493931</full_dataset_link><repository>biostudies-literature</repository><pubmed_title>The Magnitude of Black/Hispanic Disparity in COVID-19 Mortality Across United States Counties During the First Waves of the COVID-19 Pandemic.</pubmed_title><pmcid>PMC8493931</pmcid><pubmed_authors>Bagherzadeh-Khiabani F</pubmed_authors><pubmed_authors>Yasui Y</pubmed_authors><pubmed_authors>Im C</pubmed_authors><pubmed_authors>Martinez JM</pubmed_authors><pubmed_authors>Marin S</pubmed_authors><pubmed_authors>Letsou W</pubmed_authors><pubmed_authors>Munasinghe LL</pubmed_authors></additional><is_claimable>false</is_claimable><name>The Magnitude of Black/Hispanic Disparity in COVID-19 Mortality Across United States Counties During the First Waves of the COVID-19 Pandemic.</name><description>&lt;b>Objectives:&lt;/b> To quantify the Black/Hispanic disparity in COVID-19 mortality in the United States (US). &lt;b>Methods:&lt;/b> COVID-19 deaths in all US counties nationwide were analyzed to estimate COVID-19 mortality rate ratios by county-level proportions of Black/Hispanic residents, using mixed-effects Poisson regression. Excess COVID-19 mortality counts, relative to predicted under a counterfactual scenario of no racial/ethnic disparity gradient, were estimated. &lt;b>Results:&lt;/b> County-level COVID-19 mortality rates increased monotonically with county-level proportions of Black and Hispanic residents, up to 5.4-fold (≥43% Black) and 11.6-fold (≥55% Hispanic) higher compared to counties with &lt;5% Black and &lt;15% Hispanic residents, respectively, controlling for county-level poverty, age, and urbanization level. Had this disparity gradient not existed, the US COVID-19 death count would have been 92.1% lower (177,672 fewer deaths), making the rate comparable to other high-income countries with substantially lower COVID-19 death counts. &lt;b>Conclusion:&lt;/b> During the first 8 months of the SARS-CoV-2 pandemic, the US experienced the highest number of COVID-19 deaths. This COVID-19 mortality burden is strongly associated with county-level racial/ethnic diversity, explaining most US COVID-19 deaths.</description><dates><release>2021-01-01T00:00:00Z</release><publication>2021</publication><modification>2022-02-11T14:51:10.844Z</modification><creation>2022-02-11T14:51:10.844Z</creation></dates><accession>S-EPMC8493931</accession><cross_references><pubmed>34630005</pubmed><doi>10.3389/ijph.2021.1604004</doi></cross_references></HashMap>