id	author	title	date	pages	extension	mime	words	sentences	flesch	summary	cache	txt
cord-102394-vk4ag44m	Zhang, Hai-Feng	Impact of asymptomatic infection on coupled disease-behavior dynamics in complex networks	2016-08-14		.txt	text/plain	3220	204	59	The analytic results emph{quantitatively} describe the influence of different factors, such as asymptomatic infection, the awareness rate, the network structure, and so forth, on the epidemic thresholds. Since the manner of the diffusion of awareness is quite different from the mechanism of epidemic spreading, the coupled disease-behavior interaction models in multiplex networks were also investigated [18] [19] [20] . Therefore, the SAUIR model is an irreversible process but the SAUIS model is a reversible process, which yields different theoretical methods to deal with their epidemic thresholds and the results. For our SAUIR model, on one hand, the epidemic threshold is very difficult or impossible to obtain by solving the meanfield based differential equations; on the other hand, in Ref. Near the epidemic threshold, the number of infected nodes is very few, indicating that the value of θ is a very small too. Then the epidemic thresholds for the improved SIS model and SIR model were obtained by using different theoretical methods.	./cache/cord-102394-vk4ag44m.txt	./txt/cord-102394-vk4ag44m.txt