A community based vaccination strategy over mobile phone records

Authors:
Bowu Zhang;Xiuzhen Cheng;Rongfang Bie;Dechang Chen
Affiliations:
The George Washington University, DC;The George Washington University, DC;Beijing Normal University, Beijing, China;Uniformed Services University of the Health Sciences, MD
Venue:
Proceedings of the Second ACM Workshop on Mobile Systems, Applications, and Services for HealthCare
Year:
2012

Citing 4
Cited 3

MapReduce: simplified data processing on large clusters

Communications of the ACM - 50th anniversary issue: 1958 - 2008
Overlapping communities in dynamic networks: their detection and mobile applications

MobiCom '11 Proceedings of the 17th annual international conference on Mobile computing and networking
Mobile Phone Enabled Social Community Extraction for Controlling of Disease Propagation in Healthcare

MASS '11 Proceedings of the 2011 IEEE Eighth International Conference on Mobile Ad-Hoc and Sensor Systems
Guest Editorial Introduction to the Special Section on M-Health: Beyond Seamless Mobility and Global Wireless Health-Care Connectivity

IEEE Transactions on Information Technology in Biomedicine

Mobile phone based social relationship identification for target vaccination in mobile healthcare

Proceedings of the Third International Workshop on Sensing Applications on Mobile Phones
Buffer occupation in wireless social networks

WASA'13 Proceedings of the 8th international conference on Wireless Algorithms, Systems, and Applications
Social communications assisted epidemic disease influence minimization

WASA'13 Proceedings of the 8th international conference on Wireless Algorithms, Systems, and Applications

Quantified Score

Hi-index	0.00

Visualization

Abstract

Every year, millions of people die from epidemic diseases around the world. The current disease control is mainly conducted by mass vaccination strategies to immunize as many people as possible. However, due to side effects and high costs, it is difficult to be implemented within a large population. In this paper, we address this challenging problem by designing a target vaccination strategy which efficiently prevents diseases from spreading through the population by vaccinating a small fraction of the population. We take advantage of social relationship details extracted from mobile phone records to partition the whole population into communities. A two-level vaccination strategy is then proposed to prevent local and inter-community infections. We evaluate our approach by simulations over real world data and compare its performance with those of other methods. The experimental results show that our approach has the best performance in that it can reduce the number of infections significantly.