id	author	title	date	pages	extension	mime	words	sentences	flesch	summary	cache	txt
cord-229246-qgp7ksq8	Babino, Andres	Masks and COVID-19: a causal framework for imputing value to public-health interventions	2020-06-09		.txt	text/plain	3605	219	69	In this paper, we aim to fill this gap by testing the hypothesis that the policy change regarding masks by the CDC (and local governments) decreased the number of positive cases in the states of Connecticut (CT), Massachusetts (MA), New York (NY), Rhode Island (RI), and Virginia (VA). The data from RI is harder to interpret because stay-at-home orders and masks guidelines happened close in time, and data from before April are unreliable (with less than 500 tests a day). The framework that we presented is data-driven, and therefore it relies on only a handful of hypotheses as compared to other methods For example, the counterfactual analysis relies on one hypothesis: the log-odds are piecewise linear (see Eq. 6 in the supplementary material)without the need to assume any of the hypotheses of the SIR model.	./cache/cord-229246-qgp7ksq8.txt	./txt/cord-229246-qgp7ksq8.txt