The Implications of Health Disparities: A COVID-19 Risk Assessment of the Hispanic Community in El Paso.

Int J Environ Res Public Health

Department of Sociology, Center for Latin American and Latino Studies, Immigration Lab, Center for Health, Risk, and Society, American University, Washington, DC 20016, USA.

Published: January 2023

Since the outbreak of the COVID-19 pandemic in the United States, Latinos have suffered from disproportionately high rates of hospitalization and death related to the virus. Health disparities based on race and ethnicity are directly associated with heightened mortality and burden of illness and act as underlying causes for the staggering impacts of COVID-19 in Latin communities in the United States. This is especially true in the city of El Paso, Texas, where over 82% of the population is Hispanic. To ascertain the level of danger that COVID-19 poses in El Paso, we constructed a point-in-time risk assessment of its Latin population and assessed a Latin individual's likelihood of hospitalization or death related to COVID-19 by comparing relevant health profiles with high-risk co-morbidities that the Centers for Disease Control (CDC) identified in 2020. Data for this risk assessment come from 1152 surveys conducted in El Paso. The assessment included comprehensive demographic, socioeconomic, and health data to analyze disparities across Hispanic sub-populations in the city. Results revealed that around 49.3% of Hispanics in the study had been previously diagnosed with a high-risk co-morbidity and therefore have an increased likelihood of hospitalization or death related to COVID-19. Additional factors that led to increased risk included low income, homelessness, lack of U.S. citizenship, and being insured. The findings from this study additionally demonstrate that structural inequality in the U.S. must be addressed, and preventive measures must be taken at local and state levels to decrease the mortality of pandemics. Baseline population health data can help with both of these goals.

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Source
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC9859471PMC
http://dx.doi.org/10.3390/ijerph20020975DOI Listing

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