id	author	title	date	pages	extension	mime	words	sentences	flesch	summary	cache	txt
cord-320666-cmqj8get	Walach, H.	What association do political interventions, environmental and health variables have with the number of Covid-19 cases and deaths? A linear modeling approach	2020-06-22		.txt	text/plain	7117	444	56	Results: We fitted two models with log-linearly linked variables on gamma-distributed outome variables (CoV2 cases and Covid-19 related deaths, standardized on population). Population standardized cases were best predicted by number of tests, life-expectancy in a country, and border closure (negative predictor, i.e. preventive). Population standardized deaths were best predicted by time, the virus had been in the country, life expectancy, smoking (negative predictor, i.e. preventive), and school closures (positive predictor, i.e. accelerating). The model predicting Covid-19 related deaths is presented in Table 3 : Here the duration the infection had been in the country is a significant positive predictor, and so is life expectancy. The major findings of this modeling study using population data for 40 countries are clear, if surprising: Life-expectancy emerges as a stable positive predictor both for standardized cases of CoV2 infections, as well as for Covid-19 related deaths.	./cache/cord-320666-cmqj8get.txt	./txt/cord-320666-cmqj8get.txt