DocumentCode :
653322
Title :
Detecting Flu Transmission by Social Sensor in China
Author :
Jiangmiao Huang ; Hui Zhao ; Jie Zhang
Author_Institution :
Software Eng. Inst., East China Normal Univ., Shanghai, China
fYear :
2013
fDate :
20-23 Aug. 2013
Firstpage :
1242
Lastpage :
1247
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 :
belief networks; diseases; social networking (online); CDC; Center of Disease Control and Prevention; China; ILI; Sina Weibo; contagion transmission detection; cosine similarity; dynamic Bayesian network; flu transmission detection; influenza outbreak detection; influenza transmission detection; influenza-like Illness; online social network data; social sensor; standard deviation metrics; Bayes methods; Cities and towns; Diseases; Educational institutions; Hidden Markov models; Social network services; Standards; Dynamic Bayesian Network; detection; influenza transmission; prediction; social sensor;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Green Computing and Communications (GreenCom), 2013 IEEE and Internet of Things (iThings/CPSCom), IEEE International Conference on and IEEE Cyber, Physical and Social Computing
Conference_Location :
Beijing
Type :
conf
DOI :
10.1109/GreenCom-iThings-CPSCom.2013.216
Filename :
6682229
Link To Document :
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