Assessing COVID-19 risk, vulnerability and infection prevalence in communities

Amin Kiaghadi, Hanadi S Rifai and Winston Liaw

PLOS ONE, 2020, vol. 15, issue 10, 1-21

Abstract: Background: The spread of coronavirus in the United States with nearly five and half million confirmed cases and over 170,000 deaths has strained public health and health care systems. While many have focused on clinical outcomes, less attention has been paid to vulnerability and risk of infection. In this study, we developed a planning tool that examines factors that affect vulnerability to COVID-19. Methods: Across 46 variables, we defined five broad categories: 1) access to medical services, 2) underlying health conditions, 3) environmental exposures, 4) vulnerability to natural disasters, and 5) sociodemographic, behavioral, and lifestyle factors. The developed tool was validated by comparing the estimated overall vulnerability with the real-time reported normalized confirmed cases of COVID-19. Analysis: A principal component analysis was undertaken to reduce the dimensions. In order to identify vulnerable census tracts, we conducted rank-based exceedance and K-means cluster analyses. Results: All of the 5 vulnerability categories, as well as the overall vulnerability, showed significant (P-values

Date: 2020
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Persistent link: https://EconPapers.repec.org/RePEc:plo:pone00:0241166

DOI: 10.1371/journal.pone.0241166

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