BRIDGING VITAL SIGNS AND SOCIAL INTERACTIONS FOR RESOURCE-CONSTRAINED EPIDEMIC CONTROL

Zhaoyang Zhang, Honggang Wang (), Ken C. K. Lee and Hua Fang
Additional contact information
Zhaoyang Zhang: Department of Electrical and Computer Engineering, University of Massachusetts, Dartmouth, North Dartmouth, MA 02747, USA
Honggang Wang: Department of Electrical and Computer Engineering, University of Massachusetts, Dartmouth, North Dartmouth, MA 02747, USA
Ken C. K. Lee: Department of Computer and Information Science, University of Massachusetts, Dartmouth, North Dartmouth, MA 02747, USA
Hua Fang: Department of Quantitative Health Sciences, University of Massachusetts Medical School, Worcester, MA 01655, USA

International Journal of Information Technology & Decision Making (IJITDM), 2013, vol. 12, issue 03, 469-489

Abstract: This paper proposes a new approach that uses people's social interaction behavior collected by mobile phones and vital signs collected by wireless body area networks (WBAN) for epidemic control. By this approach, infectious people who are socially active can be quickly identified to be quarantined. To realize this approach, we introduce a notion of critical network and critical node identification algorithm. Observing some resource constraints such as quarantine cost and hardware limitation, we focus on optimizing the proposed approach such that high epidemic control effectiveness is achieved while the corresponding overhead is minimized. Our simulation results demonstrate that our approach can effectively control the spread of epidemic diseases in various situations.

Keywords: Epidemic modeling; cost-effective epidemic control; wireless body area networks (WBAN); social networks; critical networks (search for similar items in EconPapers)
Date: 2013
References: View complete reference list from CitEc
Citations:

Downloads: (external link)
http://www.worldscientific.com/doi/abs/10.1142/S0219622013500181
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:wsi:ijitdm:v:12:y:2013:i:03:n:s0219622013500181

Ordering information: This journal article can be ordered from

DOI: 10.1142/S0219622013500181

Access Statistics for this article

International Journal of Information Technology & Decision Making (IJITDM) is currently edited by Yong Shi

More articles in International Journal of Information Technology & Decision Making (IJITDM) from World Scientific Publishing Co. Pte. Ltd.
Bibliographic data for series maintained by Tai Tone Lim ().