Epidemic Spreading Combined with Age and Region in Complex Networks
Joint Authors
Wang, Haiyan
Jiang, Guo-Ping
Zhang, Xu
Song, Yurong
Source
Mathematical Problems in Engineering
Issue
Vol. 2020, Issue 2020 (31 Dec. 2020), pp.1-7, 7 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2020-06-22
Country of Publication
Egypt
No. of Pages
7
Main Subjects
Abstract EN
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.
American Psychological Association (APA)
Zhang, Xu& Song, Yurong& Wang, Haiyan& Jiang, Guo-Ping. 2020. Epidemic Spreading Combined with Age and Region in Complex Networks. Mathematical Problems in Engineering،Vol. 2020, no. 2020, pp.1-7.
https://search.emarefa.net/detail/BIM-1197259
Modern Language Association (MLA)
Zhang, Xu…[et al.]. Epidemic Spreading Combined with Age and Region in Complex Networks. Mathematical Problems in Engineering No. 2020 (2020), pp.1-7.
https://search.emarefa.net/detail/BIM-1197259
American Medical Association (AMA)
Zhang, Xu& Song, Yurong& Wang, Haiyan& Jiang, Guo-Ping. Epidemic Spreading Combined with Age and Region in Complex Networks. Mathematical Problems in Engineering. 2020. Vol. 2020, no. 2020, pp.1-7.
https://search.emarefa.net/detail/BIM-1197259
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1197259