Marked Disparities in COVID-19 Prevalence by Racial/Ethnic, Socioeconomic, Geographic, and Health Care Characteristics, United States, January – April, 2021
DOI:
https://doi.org/10.21106/ijtmrph.345Keywords:
COVID-19, Social Determinants, Prevalence, Race, Socioeconomic Status, Metropolitan, Disparities, Job LossAbstract
Background: Since the start of the coronavirus disease (COVID-19) pandemic in March 2020, racial/ethnic minorities and socially-disadvantaged populations in the United States (US) have experienced disproportionately higher rates of COVID-19 incidence, mortality and hospitalization. However, the extent of disparities in the prevalence of COVID-19 diagnosis have not been well-documented. Using nationally representative data, this study examines racial/ethnic, socioeconomic, and geographic inequalities in COVID-19 prevalence among US adults aged ≥18 years.
Methods: Using the Census Bureau’s Household Pulse Survey from January 6-April 26, 2021 (N=521,203), social inequalities in COVID-19 prevalence were analyzed by multivariate logistic regression.
Results: During January-April 2021, 34.7 million or 14.2% of US adults reported ever being diagnosed with COVID-19. Those aged 18-24 and 45-54 were two times more likely to be diagnosed with COVID-19 than those aged ≥75. Disease prevalence ranged from 10.0% for Asians to 14.2% for Black/African Americans and 23.0% for Hispanics. Controlling for covariates, non-Hispanic Whites, Black/African Americans, and Hispanics had, respectively, 23%, 31%, and 134% higher odds of being diagnosed with COVID-19 than Asians. Educational gradients were marked; adults with less than a high school education had twice the prevalence of COVID-19 than those with a graduate degree (19.0% vs. 9.4%). Controlling for covariates, those with less than high school and high school education had, respectively, 66% and 48% higher odds of being diagnosed with COVID-19 than those with a graduate degree. Those experiencing job/income losses during the pandemic had a significantly increased risk of COVID-19 diagnosis, adjusting for other factors. Prevalence of COVID-19 ranged from a low of 7.4% in Seattle-Tacoma Metropolitan Statistical Area (MSA) to a high of 30.0% in Riverside-San Bernardino MSA.
Conclusions and Implications for Translational Research: Black/African Americans, Hispanics, NonHispanic Whites, socially-disadvantaged adults, and those living in Riverside-San Bernardino, Phoenix, Dallas-Fort Worth, and Los Angeles-Long Beach MSAs had substantially higher likelihood of being diagnosed with COVID-19.
Copyright © 2021 Singh and Lee. Published by Global Health and Education Projects, Inc. This is an open-access article distributed under the terms of the Creative Commons Attribution License CC BY 4.0.
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This work is licensed under a Creative Commons Attribution 4.0 International License.