Author: Taylor Chin; Rebecca Kahn; Ruoran Li; Jarvis T. Chen; Nancy Krieger; Caroline O. Buckee; Satchit Balsari; Mathew V. Kiang
Title: U.S. county-level characteristics to inform equitable COVID-19 response Document date: 2020_4_11
ID: 0z8x6v04_8
Snippet: Using publicly available county-specific data from the Area Health Resources Files (19) , American Community Survey (20) , Centers for Disease Control and Prevention Atlas file (21) , National Center for Health Statistics (22), and RWJF Community Health Rankings (23), we identified key biological, demographic, and socioeconomic characteristics influencing susceptibility to COVID-19, guided by international experiences, and consideration of epidem.....
Document: Using publicly available county-specific data from the Area Health Resources Files (19) , American Community Survey (20) , Centers for Disease Control and Prevention Atlas file (21) , National Center for Health Statistics (22), and RWJF Community Health Rankings (23), we identified key biological, demographic, and socioeconomic characteristics influencing susceptibility to COVID-19, guided by international experiences, and consideration of epidemiological parameters of importance. We created five bivariate county-level maps to illustrate examples of key relationships across these categories grouping age and poverty; comorbidities and lack of health insurance; proximity, density and bed capacity; and race and ethnicity, and premature mortality. Bivariate maps show the risk in a county across independent axes, highlighting both the convergence and divergence of factors.
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