Effects of social network structures and behavioral responses on the spread of infectious diseases

Yi-Zi Ning, Xin Liu, Hui-Min Cheng and Zhong-Yuan Zhang

Physica A: Statistical Mechanics and its Applications, 2020, vol. 539, issue C

Abstract: Facing infectious diseases, the actions taken by individuals play an important role in the prevention and control of these diseases. Previous studies have shown that there is a counter-intuitive phenomenon in the spread of disease. A higher success rate of self-protection may not reduce the epidemic size. In this paper, the epidemic transmission process is studied using an evolutionary game model of complex networks. It is assumed that individuals choose their strategies by comparing their payoff with their neighbors’ payoff in the process of disease transmission. We analyze the counter-intuitive phenomenon using four different imitation principles for updating strategies, and find that different imitation principles influence the scope and magnitude of the counter-intuitive phenomenon. In addition, we find that community structures also affect the counter-intuitive phenomenon. Specifically, the counter-intuitive phenomenon always exists in a network with community structures, but not necessarily in a network without community structures, where the existence of the counter-intuitive phenomenon is affected by imitation principles.

Keywords: Complex network; Community structure; Infectious disease; Evolutionary game model; Imitation principle; Counter-intuitive phenomenon (search for similar items in EconPapers)
Date: 2020
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (3)

Downloads: (external link)
http://www.sciencedirect.com/science/article/pii/S0378437119316498
Full text for ScienceDirect subscribers only. Journal offers the option of making the article available online on Science direct for a fee of $3,000

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:eee:phsmap:v:539:y:2020:i:c:s0378437119316498

DOI: 10.1016/j.physa.2019.122907

Access Statistics for this article

Physica A: Statistical Mechanics and its Applications is currently edited by K. A. Dawson, J. O. Indekeu, H.E. Stanley and C. Tsallis

More articles in Physica A: Statistical Mechanics and its Applications from Elsevier
Bibliographic data for series maintained by Catherine Liu ().