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Disparities of COVID-19 and HIV Occurrence Based on Neighborhood Infection Incidence in Philadelphia, Pennsylvania
Journal article   Open access   Peer reviewed

Disparities of COVID-19 and HIV Occurrence Based on Neighborhood Infection Incidence in Philadelphia, Pennsylvania

Neal D Goldstein, Jessica L Webster, Lucy F Robinson and Seth L Welles
American journal of public health (1971), v 112(3), pp 408-416
Mar 2022
DOI: https://doi.org/10.2105/AJPH.2021.306538
PMID: 35196028
Featured in Collection :   UN Sustainable Development Goals @ Drexel
url
https://doi.org/10.2105/ajph.2021.306538View
Published, Version of Record (VoR)Open Access (License Unspecified),  Open

Abstract

Adolescent Adult African Americans - statistics & numerical data Aged Child COVID-19 - epidemiology COVID-19 - ethnology Cross-Sectional Studies Female HIV Infections - epidemiology HIV Infections - ethnology Humans Incidence Male Middle Aged Philadelphia - epidemiology Residence Characteristics SARS-CoV-2 Sociodemographic Factors Spatial Analysis Young Adult
To evaluate the occurrence of HIV and COVID-19 infections in Philadelphia, Pennsylvania, through July 2020 and identify ecological correlates driving racial disparities in infection incidence. For each zip code tabulation area, we created citywide comparison -score measures of COVID-19 cases, new cases of HIV, and the difference between the scores. Choropleth maps were used to identify areas that were similar or dissimilar in terms of disease patterning, and weighted linear regression models helped identify independent ecological predictors of these patterns. Relative to COVID-19, HIV represented a greater burden in Center City Philadelphia, whereas COVID-19 was more apparent in Northeast Philadelphia. Areas with a greater proportion of Black or African American residents were overrepresented in terms of both diseases. Although race is a shared nominal upstream factor that conveys increased risk for both infections, an understanding of separate structural, demographic, and economic risk factors that drive the overrepresentation of COVID-19 cases in racial/ethnic communities across Philadelphia is critical. Difference-based measures are useful in identifying areas that are underrepresented or overrepresented with respect to disease occurrence and may be able to elucidate effective or ineffective mitigation strategies. ( . 2022;112(3):408-416. https://doi.org/10.2105/AJPH.2021.306538).

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#3 Good Health and Well-Being

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Web of Science research areas
Public, Environmental & Occupational Health
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