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

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

Am J Public Health

All of the authors are with the Department of Epidemiology and Biostatistics, Dornsife School of Public Health, Drexel University, Philadelphia, PA.

Published: March 2022

AI Article Synopsis

  • The study examines the rates of HIV and COVID-19 infections in Philadelphia up to July 2020, focusing on the ecological factors that contribute to racial disparities in these infection rates.
  • Choropleth maps and regression models were used to visualize data and identify predictors, revealing that HIV was more concentrated in Center City while COVID-19 was more prevalent in Northeast Philadelphia, especially in areas with higher Black or African American populations.
  • The research highlights the need to understand the distinct structural, demographic, and economic factors driving COVID-19 disparities in racial/ethnic communities, emphasizing that the difference-based approach can aid in developing targeted public health strategies.

Article Abstract

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).

Download full-text PDF

Source
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC8887150PMC
http://dx.doi.org/10.2105/AJPH.2021.306538DOI Listing

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