id	author	title	date	pages	extension	mime	words	sentence	flesch	summary	cache	txt
cord-351430-bpv7p7zo	Pequeno, Pedro	Air transportation, population density and temperature predict the spread of COVID-19 in Brazil	2020-06-03		.txt	text/plain	4789	154	37	We evaluated the effect of meteorological conditions (temperature, solar radiation, air humidity and precipitation) on 292 daily records of cumulative number of confirmed COVID-19 cases across the 27 Brazilian capital cities during the 1st month of the outbreak, while controlling for an indicator of the number of tests, the number of arriving flights, population density, proportion of elderly people and average income. Therefore, we performed two versions of the above analysis: one including all predictors but excluding days for which precipitation was lacking (n = 269) and another one excluding precipitation as predictor and using all counts of confirmed COVID-19 cases (n = 292).	cache/cord-351430-bpv7p7zo.txt	txt/cord-351430-bpv7p7zo.txt
