Epidemic spreading combined with age and region in complex networks
type: Item
instance of: scholarly article
title: Epidemic spreading combined with age and region in complex networks
zbMATH Open document ID: 1459.92151
DOI: 10.1155/2020/6753798
author: Xu Zhang
author: Haiyan Wang
author: Guo-Ping Jiang
author: Yurong Song
published in: Mathematical Problems in Engineering
publication date: 2020-07-13T00:00:00Z
review text: Summary: In social networks, the age and the region of individuals are the two most important factors in modeling infectious diseases. In this paper, a spatial susceptible-infected-susceptible (SIS) model is proposed to describe epidemic spreading over a network with region and age by establishing several partial differential equations. Numerical simulations are performed, and the simulation of the proposed model agrees well with real influenza-like illness (ILI) in the USA reported by the Centers for Disease Control (CDC). Moreover, the proposed model can be used to predict the infected density of individuals. The results show that our model can be used as a tool to analyze influenza cases in the real world.
Mathematics Subject Classification ID: 92D30
Mathematics Subject Classification ID: 35Q92
Mathematics Subject Classification ID: 35K57
zbMATH DE Number: 7219952
MaRDI profile type: Publication
full work available at URL: https://doi.org/10.1155/2020/6753798
OpenAlex ID: W3036330469
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description: scientific article; zbMATH DE number 7219952