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Medicine and Health Sciences Commons

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Community-Based Research

Chapman University

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COVID-19

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Full-Text Articles in Medicine and Health Sciences

Citizenship Matters: Non-Citizen Covid-19 Mortality Disparities In New York And Los Angeles, Jason A. Douglas, Georgiana Bostean, Angel Miles Nash, Emmanuel B. John, Lawrence M. Brown, Andrew M. Subica Apr 2022

Citizenship Matters: Non-Citizen Covid-19 Mortality Disparities In New York And Los Angeles, Jason A. Douglas, Georgiana Bostean, Angel Miles Nash, Emmanuel B. John, Lawrence M. Brown, Andrew M. Subica

Health Sciences and Kinesiology Faculty Articles

U.S. non-citizen residents are burdened by inequitable access to socioeconomic resources, potentially placing them at heightened risk of COVID-19-related disparities. However, COVID-19 impacts on non-citizens are not well understood. Accordingly, the current study investigated COVID-19 mortality disparities within New York (NYC) and Los Angeles (LAC) to test our hypothesis that areas with large proportions of non-citizens will have disproportionately high COVID-19 mortality rates. We examined ecological associations between March 2020–January 2021 COVID-19 mortality rates (per 100,000 residents) and percent non-citizens (using ZIP Code Tabulation Areas (ZCTA) for NYC and City/Community units of analysis for LAC) while controlling for sociodemographic factors. …


County-Level Factors That Influenced The Trajectory Of Covid-19 Incidence In The New York City Area, Ashley Wendell Kranjac, Dinko Kranjac May 2021

County-Level Factors That Influenced The Trajectory Of Covid-19 Incidence In The New York City Area, Ashley Wendell Kranjac, Dinko Kranjac

Sociology Faculty Articles and Research

More than a century of research has shown that sociodemographic conditions affect infectious disease transmission. In the late spring and early summer of 2020, reports of the effects of sociodemographic variables on the spread of COVID- 19 were used in the media with minimal scientific proof attached. With new cases of COVID-19 surging in the United States at that time, it became essential to better understand how the spread of COVID-19 was varying across all segments of the population. We used hierarchical exponential growth curve modeling techniques to examine whether community socioeconomic characteristics uniquely influence the incidence of reported COVID-19 …