Targeted vaccination based on a wireless sensor system

Xiao Sun, Zongqing Lu, Xiaomei Zhang, Marcel Salathe, Guohong Cao

Research output: Chapter in Book/Report/Conference proceedingConference contribution

6 Scopus citations

Abstract

Vaccination is one of the most effective ways to protect people from being infected by infectious disease. However, it is often impractical to vaccinate all people in a community due to various resource constraints. Therefore, targeted vaccination, which vaccinates a small group of people, is an alternative approach to contain infectious disease spread. To achieve better performance in targeted vaccination, we collect student contact traces in a high school based on wireless sensors carried by students. With our wireless sensor system, we can record student contacts within the disease propagation distance, and then construct a disease propagation graph to model the infectious disease propagation. Based on this graph, we propose a metric called connectivity centrality to measure a node's importance during disease propagation and design centrality based algorithms for targeted vaccination. The proposed algorithms are evaluated and compared with other schemes based on our collected traces. Trace driven simulation results show that our algorithms can help to effectively contain infectious disease.

Original languageEnglish (US)
Title of host publication2015 IEEE International Conference on Pervasive Computing and Communications, PerCom 2015
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages215-220
Number of pages6
ISBN (Electronic)9781479980338
DOIs
StatePublished - Jul 1 2015
Event13th IEEE International Conference on Pervasive Computing and Communications, PerCom 2015 - St. Louis, United States
Duration: Mar 23 2015Mar 27 2015

Publication series

Name2015 IEEE International Conference on Pervasive Computing and Communications, PerCom 2015

Other

Other13th IEEE International Conference on Pervasive Computing and Communications, PerCom 2015
CountryUnited States
CitySt. Louis
Period3/23/153/27/15

All Science Journal Classification (ASJC) codes

  • Computer Science Applications
  • Computer Networks and Communications
  • Software

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