Bridging Vital Signs and Social Interactions for Resource Constrained Epidemic Control

UMMS Affiliation

Department of Quantitative Health Sciences

Publication Date


Document Type



Bioinformatics | Communication Technology and New Media | Digital Communications and Networking | Health Communication | Health Information Technology | Public Health | Systems and Communications | Theory and Algorithms


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.


Epidemic modeling, cost-effective epidemic control, wireless body area networks (WBAN), social networks, critical networks

DOI of Published Version



Zhang Z, Wang H, Lee K.C.K., Fang H. Bridging Vital Signs and Social Interactions for Resource Constrained Epidemic Control. Int J Inf Technol Decis Mak., 12(3), 469-489. 2013. Published by World Scientific Publishing. DOI: 10.1142/S0219622013500181. Link to article on publisher's website

Journal/Book/Conference Title

International Journal of Information Technology and Decision Making