id	author	title	date	pages	extension	mime	words	sentences	flesch	summary	cache	txt
cord-351262-0lyfc564	Levin, R.	Cell phone mobility data reveals heterogeneity in stay-at-home behavior during the SARS-CoV-2 pandemic	2020-11-04		.txt	text/plain	6333	312	53	We investigate mobility data collected, aggregated, and anonymized by SafeGraph Inc. which measures how populations at the census block-group geographic scale stayed at home in California, Georgia, Texas, and Washington since the beginning of the pandemic. Using nonlinear dimensionality reduction techniques, we find patterns of mobility behavior that align with stay at-home orders, correlate with socioeconomic factors, cluster geographically, and reveal subpopulations that likely migrated out of urban areas. The SafeGraph stay-at-home data offers insight into the levels and trends of human mobility at the census block group (CBG) geographic scale during the 2020 COVID-19 pandemic in the United States ( Figure 1 ). Nonlinear dimensionality reduction of the time-series data from Washington state revealed a low-dimensional embedding providing insight into the consistency of mobility behavior across CBGs ( Figure 1D .).	./cache/cord-351262-0lyfc564.txt	./txt/cord-351262-0lyfc564.txt