id	author	title	date	pages	extension	mime	words	sentences	flesch	summary	cache	txt
cord-222193-0b4o0ccp	Saakian, David B.	A simple statistical physics model for the epidemic with incubation period	2020-04-13		.txt	text/plain	2072	139	60	Based on the classical SIR model, we derive a simple modification for the dynamics of epidemics with a known incubation period of infection. We use the proposed model to analyze COVID-19 epidemic data in Armenia. Moreover, it is crucial to consider the final incubation period of the disease to construct a correct model for the COVID-19 case. In this study, we derive a system of integro-differential equations based on the rigorous master equation that adequately describes infection dynamics with an incubation period, e.g., COVID-19. In fact, the real data allows us to measure three main parameters: the exponential growth coefficient at the beginning of the epidemic; the minimum period of time, in which an infected person can transmit the infection; and the maximum period, when an infected person ceases to transmit the infection. In this paper, we introduced a version of SIR model for infection spreading with known incubation period. This model was applied to analyze the COVID-19 epidemic data in Armenia.	./cache/cord-222193-0b4o0ccp.txt	./txt/cord-222193-0b4o0ccp.txt