id	author	title	date	pages	extension	mime	words	sentences	flesch	summary	cache	txt
cord-337100-45qr0sak	Ferrari, A.	Reproducing SARS-CoV-2 epidemics byregion-specific variables and modeling contacttracing App containment	2020-05-19		.txt	text/plain	4710	194	43	We built an expanded SIR model of COVID-19 epidemics that accounts for region-specific population densities, and we used it to test the impact of a contact-tracing app in a number of scenarios. Our results show that, in support of efficient isolation of symptomatic cases, app-mediated contact-tracing can improve containment and achieve successful epidemic mitigation even with relatively small fraction of the population using it, and, with increasing penetrance of its adoption, suppression. In this proof-of-concept study we built a comprehensive framework to model the COVID-19 epidemic, taking into account population density, the different contributions of symptomatic, pre-symptomatic and asymptomatic contagions, and we used it to test the efficacy of targeted intervention such as the aforementioned contact tracing app. We built an improved Susceptible-Infectious-Recovered (SIR) model with the aims of a) faithfully reproducing the dynamics of the SARS-CoV-2 epidemics, including the respective roles of asymptomatic infection and population density; b) test the effects of specific interventions, and specifically the use of phone apps for contact tracing.	./cache/cord-337100-45qr0sak.txt	./txt/cord-337100-45qr0sak.txt