id	author	title	date	pages	extension	mime	words	sentences	flesch	summary	cache	txt
cord-355935-psnqrdo2	Paez, Antonio	A Spatio‐Temporal Analysis of the Environmental Correlates of COVID‐19 Incidence in Spain	2020-06-08		.txt	text/plain	8984	487	54	Use of spatial Seemingly Unrelated Regressions (SUR) allows us to model the incidence of reported cases of the disease per 100,000 population as an interregional contagion process, in addition to a function of temperature, humidity, and sunshine. We adopt a population health approach, and report results from a spatio-temporal model of the incidence of COVID-19 in the coterminous provinces in Spain, one of the countries hardest hit by the pandemic. Higher incidence is associated with higher GDP per capita and presence of mass transit systems in the province; in contrast, population density and percentage of older adults display negative associations with incidence of COVID-19. The coefficients of the spatially lagged variable are estimated for each time period ρ t and identify the intensity and the sign of the contagion effect. Fig. 3 includes three maps that display the spatial variation of our control variables, namely GDP per capita, percentage of older adults in province, population density, and presence of mass transit systems.	./cache/cord-355935-psnqrdo2.txt	./txt/cord-355935-psnqrdo2.txt