id	author	title	date	pages	extension	mime	words	sentences	flesch	summary	cache	txt
cord-340354-j3xsp2po	Noll, N. B.	COVID-19 Scenarios: an interactive tool to explore the spread and associated morbidity and mortality of SARS-CoV-2	2020-05-07		.txt	text/plain	4322	252	50	Thus, to make such modeling widely available, we have developed an interactive, online tool that allows users to efficiently explore COVID-19 scenarios based upon different epidemiological assumptions and potential mitigation strategies. All source code and the aggregated surveillance data are made freely available through GitHub. We approximate the dynamics of a COVID-19 outbreak using a generalized SEIR model in which the population is partitioned into age-stratified compartments of: susceptible (S), exposed (E), infected (I), hospitalized (H), critical (C), ICU overflow (O), dead (D) and recovered (R) individuals (Kermack et al., 1927) . The parameters of the model fall into three broad categories: a time-dependent infection rate β a (t); the rate of transition out of the exposed, infectious, hospitalized, and critical/overflow compartments γ e , γ i , γ h , and γ c respectively; and the age-specific fractions m a , c a and f a of mild, critical, and fatal infections respectively.	./cache/cord-340354-j3xsp2po.txt	./txt/cord-340354-j3xsp2po.txt