id	author	title	date	pages	extension	mime	words	sentences	flesch	summary	cache	txt
cord-322543-lo1ra50f	Li, z.	Causal Analysis of Health Interventions and Environments for Influencing the Spread of COVID-19 in the United States of America	2020-09-29		.txt	text/plain	4439	288	56	The proposed ANMs and multivariate linear Granger causality analysis methods are applied to the surveillance data of lab-confirmed Covid-19 cases in the US, UMD data, and Google mobility data from March 5, 2020 to August 25, 2020 in order to evaluate the contributions of social-biological factors, economics, the Google mobility indexes, and the rate of virus testing to the number of the new cases and number of deaths from COVIDNonlinear additive noise models for bivariate causal discovery this preprint (which was not certified by peer review) in the Public Domain. The scalar variables tested for causation of the new cases and deaths from COVID-19 in the US included the number of contact tracing workers per 100,000 people, percent of population above 60 years of age, median income, population density, percentage of African Americans, reuse, remix, or adapt this material for any purpose without crediting the original authors.	./cache/cord-322543-lo1ra50f.txt	./txt/cord-322543-lo1ra50f.txt