id	author	title	date	pages	extension	mime	words	sentences	flesch	summary	cache	txt
cord-307340-00m2g55u	Gerasimov, A.	Reaching collective immunity for COVID-19: an estimate with a heterogeneous model based on the data for Italy	2020-05-25		.txt	text/plain	2252	126	46	Because of the high heterogeneity of COVID-19 infection risk across the different age groups, with a higher susceptibility for the elderly, homogeneous models overestimate the level of collective immunity needed for the disease to stop spreading. Because of the high heterogeneity of COVID-19 infection risk across the different age groups, with a higher susceptibility for the elderly, homogeneous models overestimate the level of collective immunity needed for the disease to stop spreading. Here we developed a mathematical model for assessing the minimum incidence of COVID-19 needed to reach collective immunity, which would assure that the epidemic cannot restart the cessation of quarantine measures. While this search yielded several useful references regarding COVID-19 modeling, the basic reproduction number of this disease, and age-related heterogeneity, we did not find an approach similar to ours to modeling COVID-19 dynamics and estimating the total incidence and population immunity.	./cache/cord-307340-00m2g55u.txt	./txt/cord-307340-00m2g55u.txt