id	author	title	date	pages	extension	mime	words	sentences	flesch	summary	cache	txt
cord-354009-1ek4s8oe	Wang, Yun	Spatiotemporal Characteristics of COVID-19 Epidemic in the United States	2020-07-08		.txt	text/plain	3143	207	59	We characterized the dynamics of COVID-19 epidemic through detecting weekly hotspots of newly confirmed cases using Spatial and Space-Time Scan Statistics and quantifying the trends of incidence of COVID-19 by county characteristics using the Joinpoint analysis. The results would enhance our understanding of small area-based spatiotemporal dynamics of COVID-19 outbreak, thus help inform multilevel strategies to control the spread of coronavirus and appropriate allocations of public health and healthcare resources in the United States. To identify the characteristics of counties with a high burden of COVID-19, we examined county-level geographic and sociodemographic factors, including rural-urban context, distance to the nearest core airport, population density, percentage of non-white minority population, percentage of population 65 years or older, and percentage of population below the federal poverty line.	./cache/cord-354009-1ek4s8oe.txt	./txt/cord-354009-1ek4s8oe.txt