Targeted vaccination based on a wireless sensor system

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

doi:10.1109/PERCOM.2015.7146531

Targeted vaccination based on a wireless sensor system

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

Computer Science and Engineering

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

10 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 language	English (US)
Title of host publication	2015 IEEE International Conference on Pervasive Computing and Communications, PerCom 2015
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	215-220
Number of pages	6
ISBN (Electronic)	9781479980338
DOIs	https://doi.org/10.1109/PERCOM.2015.7146531
State	Published - Jul 1 2015
Event	13th IEEE International Conference on Pervasive Computing and Communications, PerCom 2015 - St. Louis, United States Duration: Mar 23 2015 → Mar 27 2015

Publication series

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

Other

Other	13th IEEE International Conference on Pervasive Computing and Communications, PerCom 2015
Country/Territory	United States
City	St. Louis
Period	3/23/15 → 3/27/15

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

SDG 3 Good Health and Well-being

All Science Journal Classification (ASJC) codes

Computer Science Applications
Computer Networks and Communications
Software

Access to Document

10.1109/PERCOM.2015.7146531

Cite this

Sun, X., Lu, Z., Zhang, X., Salathe, M., & Cao, G. (2015). Targeted vaccination based on a wireless sensor system. In 2015 IEEE International Conference on Pervasive Computing and Communications, PerCom 2015 (pp. 215-220). Article 7146531 (2015 IEEE International Conference on Pervasive Computing and Communications, PerCom 2015). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/PERCOM.2015.7146531

@inproceedings{8e410b58d64842d59562033774f21032,

title = "Targeted vaccination based on a wireless sensor system",

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.",

author = "Xiao Sun and Zongqing Lu and Xiaomei Zhang and Marcel Salathe and Guohong Cao",

note = "Publisher Copyright: {\textcopyright} 2015 IEEE.; 13th IEEE International Conference on Pervasive Computing and Communications, PerCom 2015 ; Conference date: 23-03-2015 Through 27-03-2015",

year = "2015",

month = jul,

day = "1",

doi = "10.1109/PERCOM.2015.7146531",

language = "English (US)",

series = "2015 IEEE International Conference on Pervasive Computing and Communications, PerCom 2015",

publisher = "Institute of Electrical and Electronics Engineers Inc.",

pages = "215--220",

booktitle = "2015 IEEE International Conference on Pervasive Computing and Communications, PerCom 2015",

address = "United States",

}

Sun, X, Lu, Z, Zhang, X, Salathe, M & Cao, G 2015, Targeted vaccination based on a wireless sensor system. in 2015 IEEE International Conference on Pervasive Computing and Communications, PerCom 2015., 7146531, 2015 IEEE International Conference on Pervasive Computing and Communications, PerCom 2015, Institute of Electrical and Electronics Engineers Inc., pp. 215-220, 13th IEEE International Conference on Pervasive Computing and Communications, PerCom 2015, St. Louis, United States, 3/23/15. https://doi.org/10.1109/PERCOM.2015.7146531

Targeted vaccination based on a wireless sensor system. / Sun, Xiao; Lu, Zongqing; Zhang, Xiaomei et al.
2015 IEEE International Conference on Pervasive Computing and Communications, PerCom 2015. Institute of Electrical and Electronics Engineers Inc., 2015. p. 215-220 7146531 (2015 IEEE International Conference on Pervasive Computing and Communications, PerCom 2015).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

TY - GEN

T1 - Targeted vaccination based on a wireless sensor system

AU - Sun, Xiao

AU - Lu, Zongqing

AU - Zhang, Xiaomei

AU - Salathe, Marcel

AU - Cao, Guohong

PY - 2015/7/1

Y1 - 2015/7/1

N2 - 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.

AB - 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.

UR - https://www.scopus.com/pages/publications/84942571078

UR - https://www.scopus.com/pages/publications/84942571078#tab=citedBy

U2 - 10.1109/PERCOM.2015.7146531

DO - 10.1109/PERCOM.2015.7146531

M3 - Conference contribution

AN - SCOPUS:84942571078

T3 - 2015 IEEE International Conference on Pervasive Computing and Communications, PerCom 2015

SP - 215

EP - 220

BT - 2015 IEEE International Conference on Pervasive Computing and Communications, PerCom 2015

PB - Institute of Electrical and Electronics Engineers Inc.

T2 - 13th IEEE International Conference on Pervasive Computing and Communications, PerCom 2015

Y2 - 23 March 2015 through 27 March 2015

ER -

Sun X, Lu Z, Zhang X, Salathe M, Cao G. Targeted vaccination based on a wireless sensor system. In 2015 IEEE International Conference on Pervasive Computing and Communications, PerCom 2015. Institute of Electrical and Electronics Engineers Inc. 2015. p. 215-220. 7146531. (2015 IEEE International Conference on Pervasive Computing and Communications, PerCom 2015). doi: 10.1109/PERCOM.2015.7146531

Targeted vaccination based on a wireless sensor system

Abstract

Publication series

Other

UN SDGs

All Science Journal Classification (ASJC) codes

Access to Document

Other files and links

Fingerprint

Cite this