id	author	title	date	pages	extension	mime	words	sentence	flesch	summary	cache	txt
cord-348061-ssjl2w7l	Chamberlain, Samuel D	Real-time detection of COVID-19 epicenters within the United States using a network of smart thermometers	2020-04-10		.txt	text/plain	2747	113	44	To calculate these forecast error rates, we compare CMU forecasts to CDC ILI, while comparing anomaly detection forecasts to thermometer-based ILI, given that these models are trained on different data sources. Similarly, following school closures in Miami-Dade County, real-time ILI values fell below anomalous levels by late March (Fig. S2) , though accounting for reduced influenza transmission leads to more anomaly detections (Fig. 2C ).	cache/cord-348061-ssjl2w7l.txt	txt/cord-348061-ssjl2w7l.txt
