id	author	title	date	pages	extension	mime	words	sentences	flesch	summary	cache	txt
cord-347079-1zbsbcdd	Silverman, Justin D.	Using influenza surveillance networks to estimate state-specific prevalence of SARS-CoV-2 in the United States	2020-06-22		.txt	text/plain	6234	266	49	To estimate the proportion and magnitude of the March 2020 US ILI surge attributable to SARS-CoV-2 infections, we made the following three assumptions: (1) that the patient population reported by sentinel providers is representative of their state each week; (2) that changes in care-seeking behavior of ILI patients is occurring at a similar rate as that of other non-ILI patients; and (3) that the total number of patients in the US who require medical care over the course of a year has not substantially changed since 2018. The goal of our study was to use publicly available data to estimate the number of patients seeking care for non-influenza ILI in excess of seasonal trends during the three weeks spanning March 8 to March 28, 2020 and then use this ILI surge to estimate COVID-19 incidence in March and parameterize epidemiological model growth rates and clinical rates.	./cache/cord-347079-1zbsbcdd.txt	./txt/cord-347079-1zbsbcdd.txt