id	author	title	date	pages	extension	mime	words	sentences	flesch	summary	cache	txt
cord-307540-dr5m9pfk	Coelho, Flávio C.	Assessing the spread of COVID-19 in Brazil: Mobility, morbidity and social vulnerability	2020-09-18		.txt	text/plain	3517	201	52	Probabilistic models were used to calculate the probability of COVID-19 spread from São Paulo and Rio de Janeiro, the initial hotspots, using mobility data from the pre-epidemic period, while multivariate cluster analysis of socio-economic indices was done to identify areas with similar social vulnerability. To identify regions with high geographical and social vulnerability, we proposed a classification scheme based on three main criteria: population mobility, socio-demographic-economic characteristics, and the available health care infrastructure in terms of hospital capacity. To assess the probability of COVID-19 spreading within Brazil, in the absence of mobility restrictions, we first calculated the effective distance (E f (i,j)) between micro-regions using the air travel data. We computed the effective distance, E f (i,j), between each micro-region and the two COVID-19's hotspots, Rio de Janeiro and Sao Paulo. Mostly urban micro-regions, with above-average life expectancy, with comparatively less social inequality, less population living in extreme poverty, better access to water supply and sewage disposal services, higher education.	./cache/cord-307540-dr5m9pfk.txt	./txt/cord-307540-dr5m9pfk.txt