id	author	title	date	pages	extension	mime	words	sentences	flesch	summary	cache	txt
cord-221717-h1h2vd3r	Scabini, Leonardo F. S.	Social Interaction Layers in Complex Networks for the Dynamical Epidemic Modeling of COVID-19 in Brazil	2020-05-16		.txt	text/plain	8576	410	55	Therefore this study presents a new approach to model the COVID-19 epidemic using a multi-layer complex network, where nodes represent people, edges are social contacts, and layers represent different social activities. The SIR model on networks works as follows: each node represents a person and, the elements are connected according to some criteria and the epidemic propagation happens through an agent-based approach. At the end of the evolution of a SIR model applied to a network, the number of nodes in each SIR category (susceptible, infected and recovered) can be calculated for each unit of time evaluated and then compare these data with real information, for example, the hospital capabilities of the health system. Unlike the traditional SIR model, which consists of a single β term to describe the probability of infection, here we propose a dynamic strategy to better represent the real world and the new COVID-19 disease.	./cache/cord-221717-h1h2vd3r.txt	./txt/cord-221717-h1h2vd3r.txt