TY - GEN
T1 - A community based vaccination strategy over mobile phone records
AU - Zhang, Bowu
AU - Cheng, Xiuzhen
AU - Bie, Rongfang
AU - Chen, Dechang
PY - 2012
Y1 - 2012
N2 - 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.
AB - 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.
UR - http://www.scopus.com/inward/record.url?scp=84871321063&partnerID=8YFLogxK
U2 - 10.1145/2396276.2396279
DO - 10.1145/2396276.2396279
M3 - Conference contribution
AN - SCOPUS:84871321063
SN - 9781450317641
T3 - mHealthSys 2012 - Proceedings of the 2nd ACM Workshop on Mobile Systems, Applications, and Services for HealthCare, Co-held with ACM SenSys 2012
BT - mHealthSys 2012 - Proceedings of the 2nd ACM Workshop on Mobile Systems, Applications, and Services for HealthCare, Co-held with ACM SenSys 2012
T2 - 2nd ACM Workshop on Mobile Systems, Applications, and Services for Healthcare, mHealthSys 2012, Co-held with ACM SenSys 2012
Y2 - 6 November 2012 through 6 November 2012
ER -