Detecting flu transmission by social sensor in China

Jiangmiao Huang; Hui Zhao; Jie Zhang

doi:10.1109/GreenCom-iThings-CPSCom.2013.216

Detecting flu transmission by social sensor in China

Jiangmiao Huang
, Hui Zhao^*
, Jie Zhang

^*Corresponding author for this work

Software Engineering Institute

East China Normal University

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

13 Scopus citations

Abstract

The control and prevention of transmissible diseases is an important public health concern. This paper gives a strategy to detect the transmission of contagion based on social network. With the popularity of the Weibo, a hybrid of Twitter and Facebook in China, people often posts his/her feelings when he/she or his/her friend suffers from disease. Thus, Weibo plays a social sensor role to surveill people's health status. By exploring more than 35.3 million tweets from Sina Weibo, we first filter the data according to the ILI (Influenza like Illness) definition and compare the online social network data with the statistics summery of China CDC (Center of Disease Control and Prevention) using cosine similarity and the standard deviation metrics. Dynamic Bayesian Network is applied to detect the outbreak and transmission of influenza in a certain city considering the co-location and the social ties. The experiment results show our methods can give effective suggestions to control and prevent the influenza epidemic in China.

Original language	English
Title of host publication	Proceedings - 2013 IEEE International Conference on Green Computing and Communications and IEEE Internet of Things and IEEE Cyber, Physical and Social Computing, GreenCom-iThings-CPSCom 2013
Pages	1242-1247
Number of pages	6
DOIs	https://doi.org/10.1109/GreenCom-iThings-CPSCom.2013.216
State	Published - 2013
Event	2013 IEEE International Conference on Green Computing and Communications and IEEE Internet of Things and IEEE Cyber, Physical and Social Computing, GreenCom-iThings-CPSCom 2013 - Beijing, China Duration: 20 Aug 2013 → 23 Aug 2013

Publication series

Name	Proceedings - 2013 IEEE International Conference on Green Computing and Communications and IEEE Internet of Things and IEEE Cyber, Physical and Social Computing, GreenCom-iThings-CPSCom 2013

Conference

Conference	2013 IEEE International Conference on Green Computing and Communications and IEEE Internet of Things and IEEE Cyber, Physical and Social Computing, GreenCom-iThings-CPSCom 2013
Country/Territory	China
City	Beijing
Period	20/08/13 → 23/08/13

Keywords

Detection
Dynamic bayesian network
Influenza transmission
Prediction
Social sensor

UN SDGs

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

Access to Document

10.1109/GreenCom-iThings-CPSCom.2013.216

Cite this

Huang, J., Zhao, H., & Zhang, J. (2013). Detecting flu transmission by social sensor in China. In Proceedings - 2013 IEEE International Conference on Green Computing and Communications and IEEE Internet of Things and IEEE Cyber, Physical and Social Computing, GreenCom-iThings-CPSCom 2013 (pp. 1242-1247). Article 6682229 (Proceedings - 2013 IEEE International Conference on Green Computing and Communications and IEEE Internet of Things and IEEE Cyber, Physical and Social Computing, GreenCom-iThings-CPSCom 2013). https://doi.org/10.1109/GreenCom-iThings-CPSCom.2013.216

Huang, Jiangmiao ; Zhao, Hui ; Zhang, Jie. / Detecting flu transmission by social sensor in China. Proceedings - 2013 IEEE International Conference on Green Computing and Communications and IEEE Internet of Things and IEEE Cyber, Physical and Social Computing, GreenCom-iThings-CPSCom 2013. 2013. pp. 1242-1247 (Proceedings - 2013 IEEE International Conference on Green Computing and Communications and IEEE Internet of Things and IEEE Cyber, Physical and Social Computing, GreenCom-iThings-CPSCom 2013).

@inproceedings{102144b5b9ef41a7a2b430e06331a446,

title = "Detecting flu transmission by social sensor in China",

abstract = "The control and prevention of transmissible diseases is an important public health concern. This paper gives a strategy to detect the transmission of contagion based on social network. With the popularity of the Weibo, a hybrid of Twitter and Facebook in China, people often posts his/her feelings when he/she or his/her friend suffers from disease. Thus, Weibo plays a social sensor role to surveill people's health status. By exploring more than 35.3 million tweets from Sina Weibo, we first filter the data according to the ILI (Influenza like Illness) definition and compare the online social network data with the statistics summery of China CDC (Center of Disease Control and Prevention) using cosine similarity and the standard deviation metrics. Dynamic Bayesian Network is applied to detect the outbreak and transmission of influenza in a certain city considering the co-location and the social ties. The experiment results show our methods can give effective suggestions to control and prevent the influenza epidemic in China.",

keywords = "Detection, Dynamic bayesian network, Influenza transmission, Prediction, Social sensor",

author = "Jiangmiao Huang and Hui Zhao and Jie Zhang",

year = "2013",

doi = "10.1109/GreenCom-iThings-CPSCom.2013.216",

language = "英语",

isbn = "9780769550466",

series = "Proceedings - 2013 IEEE International Conference on Green Computing and Communications and IEEE Internet of Things and IEEE Cyber, Physical and Social Computing, GreenCom-iThings-CPSCom 2013",

pages = "1242--1247",

booktitle = "Proceedings - 2013 IEEE International Conference on Green Computing and Communications and IEEE Internet of Things and IEEE Cyber, Physical and Social Computing, GreenCom-iThings-CPSCom 2013",

note = "2013 IEEE International Conference on Green Computing and Communications and IEEE Internet of Things and IEEE Cyber, Physical and Social Computing, GreenCom-iThings-CPSCom 2013 ; Conference date: 20-08-2013 Through 23-08-2013",

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Huang, J, Zhao, H & Zhang, J 2013, Detecting flu transmission by social sensor in China. in Proceedings - 2013 IEEE International Conference on Green Computing and Communications and IEEE Internet of Things and IEEE Cyber, Physical and Social Computing, GreenCom-iThings-CPSCom 2013., 6682229, Proceedings - 2013 IEEE International Conference on Green Computing and Communications and IEEE Internet of Things and IEEE Cyber, Physical and Social Computing, GreenCom-iThings-CPSCom 2013, pp. 1242-1247, 2013 IEEE International Conference on Green Computing and Communications and IEEE Internet of Things and IEEE Cyber, Physical and Social Computing, GreenCom-iThings-CPSCom 2013, Beijing, China, 20/08/13. https://doi.org/10.1109/GreenCom-iThings-CPSCom.2013.216

Detecting flu transmission by social sensor in China. / Huang, Jiangmiao; Zhao, Hui; Zhang, Jie.
Proceedings - 2013 IEEE International Conference on Green Computing and Communications and IEEE Internet of Things and IEEE Cyber, Physical and Social Computing, GreenCom-iThings-CPSCom 2013. 2013. p. 1242-1247 6682229 (Proceedings - 2013 IEEE International Conference on Green Computing and Communications and IEEE Internet of Things and IEEE Cyber, Physical and Social Computing, GreenCom-iThings-CPSCom 2013).

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

TY - GEN

T1 - Detecting flu transmission by social sensor in China

AU - Huang, Jiangmiao

AU - Zhao, Hui

AU - Zhang, Jie

PY - 2013

Y1 - 2013

N2 - The control and prevention of transmissible diseases is an important public health concern. This paper gives a strategy to detect the transmission of contagion based on social network. With the popularity of the Weibo, a hybrid of Twitter and Facebook in China, people often posts his/her feelings when he/she or his/her friend suffers from disease. Thus, Weibo plays a social sensor role to surveill people's health status. By exploring more than 35.3 million tweets from Sina Weibo, we first filter the data according to the ILI (Influenza like Illness) definition and compare the online social network data with the statistics summery of China CDC (Center of Disease Control and Prevention) using cosine similarity and the standard deviation metrics. Dynamic Bayesian Network is applied to detect the outbreak and transmission of influenza in a certain city considering the co-location and the social ties. The experiment results show our methods can give effective suggestions to control and prevent the influenza epidemic in China.

AB - The control and prevention of transmissible diseases is an important public health concern. This paper gives a strategy to detect the transmission of contagion based on social network. With the popularity of the Weibo, a hybrid of Twitter and Facebook in China, people often posts his/her feelings when he/she or his/her friend suffers from disease. Thus, Weibo plays a social sensor role to surveill people's health status. By exploring more than 35.3 million tweets from Sina Weibo, we first filter the data according to the ILI (Influenza like Illness) definition and compare the online social network data with the statistics summery of China CDC (Center of Disease Control and Prevention) using cosine similarity and the standard deviation metrics. Dynamic Bayesian Network is applied to detect the outbreak and transmission of influenza in a certain city considering the co-location and the social ties. The experiment results show our methods can give effective suggestions to control and prevent the influenza epidemic in China.

KW - Detection

KW - Dynamic bayesian network

KW - Influenza transmission

KW - Prediction

KW - Social sensor

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U2 - 10.1109/GreenCom-iThings-CPSCom.2013.216

DO - 10.1109/GreenCom-iThings-CPSCom.2013.216

M3 - 会议稿件

AN - SCOPUS:84893487197

SN - 9780769550466

T3 - Proceedings - 2013 IEEE International Conference on Green Computing and Communications and IEEE Internet of Things and IEEE Cyber, Physical and Social Computing, GreenCom-iThings-CPSCom 2013

SP - 1242

EP - 1247

BT - Proceedings - 2013 IEEE International Conference on Green Computing and Communications and IEEE Internet of Things and IEEE Cyber, Physical and Social Computing, GreenCom-iThings-CPSCom 2013

T2 - 2013 IEEE International Conference on Green Computing and Communications and IEEE Internet of Things and IEEE Cyber, Physical and Social Computing, GreenCom-iThings-CPSCom 2013

Y2 - 20 August 2013 through 23 August 2013

ER -

Huang J, Zhao H, Zhang J. Detecting flu transmission by social sensor in China. In Proceedings - 2013 IEEE International Conference on Green Computing and Communications and IEEE Internet of Things and IEEE Cyber, Physical and Social Computing, GreenCom-iThings-CPSCom 2013. 2013. p. 1242-1247. 6682229. (Proceedings - 2013 IEEE International Conference on Green Computing and Communications and IEEE Internet of Things and IEEE Cyber, Physical and Social Computing, GreenCom-iThings-CPSCom 2013). doi: 10.1109/GreenCom-iThings-CPSCom.2013.216

Detecting flu transmission by social sensor in China

Abstract

Publication series

Conference

Keywords

UN SDGs

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