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Copyright © 2020 Xu Zhang et al. This is an open access article distributed under the Creative Commons Attribution License (the “License”), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. http://creativecommons.org/licenses/by/4.0/

Abstract

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.

Details

Title
Epidemic Spreading Combined with Age and Region in Complex Networks
Author
Zhang, Xu 1 ; Song, Yurong 2   VIAFID ORCID Logo  ; Wang, Haiyan 3   VIAFID ORCID Logo  ; Guo-Ping, Jiang 2   VIAFID ORCID Logo 

 School of Computer Science, Nanjing University of Posts and Telecommunications, Nanjing 210023, China 
 College of Automation & College of Artificial Intelligence, Nanjing University of Posts and Telecommunications, Nanjing 210023, China 
 School of Mathematical and Natural Sciences, Arizona State University, Phoenix, AZ 85069, USA 
Editor
Michael Z Q Chen
Publication year
2020
Publication date
2020
Publisher
John Wiley & Sons, Inc.
ISSN
1024123X
e-ISSN
15635147
Source type
Scholarly Journal
Language of publication
English
ProQuest document ID
2420067184
Copyright
Copyright © 2020 Xu Zhang et al. This is an open access article distributed under the Creative Commons Attribution License (the “License”), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. http://creativecommons.org/licenses/by/4.0/