id	author	title	date	pages	extension	mime	words	sentences	flesch	summary	cache	txt
cord-334184-2zjbwmqn	Weinstein, B.	A methodological blueprint to identify COVID-19 vulnerable locales by socioeconomic factors, developed using South Korean data	2020-10-27		.txt	text/plain	3225	205	51	High area morbidity, risky health behaviors, crowding, and population mobility elevated area risk for COVID-19, while improved social distancing, healthcare access, and education decreased it. We used an independent variable proxy for education, and by Principal Component Analysis (PCA) created six thematic composite indices: healthcare access, health behavior, crowding, area morbidity, education, difficulty to social distancing, and population mobility. 10.26.20218842 doi: medRxiv preprint In the entire study period model using GNBR, the COVID-19 risk increased risky health behavior, area morbidity, and difficulty to social distancing (Table 2) . In the early phase, lower healthcare access and education, and increased risky health behavior, area morbidity, difficulty to social distancing, and population mobility associated with higher COVID-19 risk. Relative risks associated with healthcare access, health behavior, and crowding indices were significant in the early phase where each index varied in spatial coverage ( Figure 4 ).	./cache/cord-334184-2zjbwmqn.txt	./txt/cord-334184-2zjbwmqn.txt