Racial and ethnic disparities in SARS-CoV-2 pandemic: analysis of a COVID-19 observational registry for a diverse US metropolitan population

Author:

Vahidy Farhaan SORCID,Nicolas Juan Carlos,Meeks Jennifer R,Khan Osman,Pan Alan,Jones Stephen L,Masud Faisal,Sostman H Dirk,Phillips Robert,Andrieni Julia D,Kash Bita A,Nasir Khurram

Abstract

IntroductionData on race and ethnic disparities for severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) infection are limited. We analysed sociodemographic factors associated with higher likelihood of SARS-CoV-2 infection and explore mediating pathways for race and ethnic disparities in the SARS-CoV-2 pandemic.MethodsThis is a cross-sectional analysis of the COVID-19 Surveillance and Outcomes Registry, which captures data for a large healthcare system, comprising one central tertiary care hospital, seven large community hospitals and an expansive ambulatory/emergency care network in the Greater Houston area. Nasopharyngeal samples for individuals inclusive of all ages, races, ethnicities and sex were tested for SARS-CoV-2. We analysed sociodemographic (age, sex, race, ethnicity, household income, residence population density) and comorbidity (Charlson Comorbidity Index, hypertension, diabetes, obesity) factors. Multivariable logistic regression models were fitted to provide adjusted OR (aOR) and 95% CI for likelihood of a positive SARS-CoV-2 test. Structural equation modelling (SEM) framework was used to explore three mediation pathways (low income, high population density, high comorbidity burden) for the association between non-Hispanic black (NHB) race, Hispanic ethnicity and SARS-CoV-2 infection.ResultsAmong 20 228 tested individuals, 1551 (7.7%) tested positive. The overall mean (SD) age was 51.1 (19.0) years, 62% were females, 22% were black and 18% were Hispanic. NHB and Hispanic ethnicity were associated with lower socioeconomic status and higher population density residence. In the fully adjusted model, NHB (vs non-Hispanic white; aOR, 2.23, CI 1.90 to 2.60) and Hispanic ethnicity (vs non-Hispanic; aOR, 1.95, CI 1.72 to 2.20) had a higher likelihood of infection. Older individuals and males were also at higher risk of infection. The SEM framework demonstrated a significant indirect effect of NHB and Hispanic ethnicity on SARS-CoV-2 infection mediated via a pathway including residence in densely populated zip code.ConclusionsThere is strong evidence of race and ethnic disparities in the SARS-CoV-2 pandemic that are potentially mediated through unique social determinants of health.

Publisher

BMJ

Subject

General Medicine

Reference26 articles.

1. World Health Organization . Who COVID-19 dashboard., 2020. Available: https://covid19.who.int/. [Accessed 6 Apr 2020].

2. Center for Systems Science and Engineering (CSSE) at Johns Hopkins University . COVID-19 map. Johns Hopkins coronavirus resource center, 2020. Available: https://coronavirus.jhu.edu/map.html. [Accessed 6 Apr 2020].

3. Centers for Disease Control and Prevention . Coronavirus disease 2019 (COVID-19) in the U.S. cdc.gov, 2020. Available: https://www.cdc.gov/coronavirus/2019-ncov/cases-updates/cases-in-us.html. [Accessed 14 Apr 2020].

4. Texas Health and Human Services . COVID-19 in Texas (dashboard), 2020. Available: https://txdshs.maps.arcgis.com/apps/opsdashboard/index.html#/ed483ecd702b4298ab01e8b9cafc8b83 [Accessed 18 Apr 2020].

5. McCann A . Most diverse cities in the U.S. Wallethub, 2019. Available: https://wallethub.com/edu/most-diverse-cities/12690/ [Accessed 29 Jun 2020].

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