id	author	title	date	pages	extension	mime	words	sentences	flesch	summary	cache	txt
cord-331815-518wljiy	amram, o.	Data-Driven Development of a Small-Area COVID-19 Vulnerability Index for the United States	2020-08-18		.txt	text/plain	3316	205	47	2, 6, 7 Notably, Black, Indigenous, and Latinx individuals are more likely to be essential workers, live in confined housing conditions, and lack adequate healthcare access, however the degree to which these and other factors potentiated by systemic racism may contribute to higher infection risk is not fully known. 17.20176248 doi: medRxiv preprint In this study, we assessed socio-demographic and economic predictors of COVID-19 infection risk at the U.S. ZIP-code level, based on sampling of publicly-available data. . https://doi.org/10.1101/2020.08.17.20176248 doi: medRxiv preprint According to INLA models, higher population density, higher percentage of noninsured, nonwhite race and Hispanic ethnicity were positively associated with COVID-19 diagnosis rates (Table 2) . In this study, we develop the first data-driven national COVID-19 risk index at the zip-code level, identifying several significant independent risk factors to infection, including race, ethnicity, insurance status, and population density. . https://doi.org/10.1101/2020.08.17.20176248 doi: medRxiv preprint housing conditions, be employed as essential workers, and lack health insurance, however race remained an independent predictor of infection after controlling for these factors.	./cache/cord-331815-518wljiy.txt	./txt/cord-331815-518wljiy.txt