id	author	title	date	pages	extension	mime	words	sentences	flesch	summary	cache	txt
cord-314690-jc6cx76a	Guha, Avirup	Community and Socioeconomic Factors Associated with COVID-19 in the United States: Zip code level cross sectional analysis	2020-04-22		.txt	text/plain	3004	182	52	Methods: In this study, zip-code level data from 5 major metropolitan areas, was utilized to study the effect of multiple demographic & socio-economic factors including race, age, income, chronic disease comorbidity, population density, number of people per household on number of positive cases and ensuing death. In a multivariable linear regression model (table 2) it was noted than proportion of residents above the age of 65 years, proportion of African American residents, proportion of females, persons per household and population density of the zip code was significantly associated with increased likelihood of positive cases in a zip code (P <= 0.01). We demonstrate that zip codes with a greater proportion of residents above 65 years of age, African American residents, persons per household, and population density were significantly associated with an increased likelihood of COVID-19 cases.	./cache/cord-314690-jc6cx76a.txt	./txt/cord-314690-jc6cx76a.txt