id	author	title	date	pages	extension	mime	words	sentences	flesch	summary	cache	txt
cord-201798-doi5w7tb	Seto, Christopher	Commuting Network Spillovers and COVID-19 Deaths Across US Counties	2020-10-02		.txt	text/plain	3507	201	50	We utilized 3-level mixed effects negative binomial regression models to estimate the impact of network COVID-19 exposure on county confirmed cases and deaths over time. We utilize 3-level mixed effects negative binomial models, analyzing COVID-19 cases and deaths of county-time periods (N=31,380), nested within counties (N=3,139), nested within states (N=51, includes DC). The weighted outcome regression model determines the causal effect of each county level characteristic on deaths by COVID-19 through statistical hypothesis testing. To aid our causal inference, we also conducted several analyses using different weighting strategies on a cross-sectional version of our data in which outcomes are cumulative counts of a county's cases or deaths, and network and spatially lagged measures are based on these cumulative counts. Negative binomial models (with state and county random intercepts) predicting COVID-19 outcomes across 10 time periods based on network, spatial, and time lagged cases.	./cache/cord-201798-doi5w7tb.txt	./txt/cord-201798-doi5w7tb.txt