Modeling infection spread and behavioral change using spatial games

Songnian Zhao, John Wu and David Ben-Arieh

Health Systems, 2015, vol. 4, issue 1, 41-53

Abstract: This paper presents a methodology that combines information transmission, contact networks, and changes of human behaviors in modeling the dynamics of infectious diseases. The methodology presented is based on a spatial evolutionary game with additional information representing human behavior. This approach is used to model the transmission process of infectious disease, which emphasizes the human response and information transmission in a social context. It combines the advantages of evolutionary game theory with modeling the spontaneous changes of human behaviors based on the balance of benefits and costs. The model assumes rational participants who use information acquired to make individual decisions. This novel modeling approach shows the global spread of infection considering an individual human behavior.

Date: 2015
References: Add references at CitEc
Citations: View citations in EconPapers (2)

Downloads: (external link)
http://hdl.handle.net/10.1057/hs.2014.22 (text/html)
Access to full text is restricted to subscribers.

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:taf:thssxx:v:4:y:2015:i:1:p:41-53

Ordering information: This journal article can be ordered from
http://www.tandfonline.com/pricing/journal/thss20

DOI: 10.1057/hs.2014.22

Access Statistics for this article

Health Systems is currently edited by Sally Brailsford

More articles in Health Systems from Taylor & Francis Journals
Bibliographic data for series maintained by Chris Longhurst ().