Using multi-source web data for epidemic surveillance

A case study of the 2009 Influenza A (H1N1) pandemic in Beijing

Yuan Luo, Dajun Zeng, Zhidong Cao, Xiaolong Zheng, Youzhong Wang, Quanyi Wang, Huimin Zhao

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

8 Citations (Scopus)

Abstract

Timely and effective surveillance is critical for the prevention and control of epidemics. However, due to technical challenges and shortage of human resources, comprehensive and timely data collection required for effective surveillance, especially collection of data about sudden epidemic outbreaks, is still very difficult. In this paper, we propose the use of multi-source web data for epidemic surveillance. We use the 2009 Influenza A (HtNt) pandemic in Beijing as a case study to demonstrate the utility of our proposed approach. Experiments using data from the Beijing Center for Disease Control and Prevention (CDq and several search engines show encouraging results. This case study also has direct practical values in the real setting.

Original languageEnglish (US)
Title of host publicationProceedings of 2010 IEEE International Conference on Service Operations and Logistics, and Informatics, SOLI 2010
Pages76-81
Number of pages6
DOIs
StatePublished - 2010
Event2010 IEEE International Conference on Service Operations and Logistics, and Informatics, SOLI 2010 - QingDao, China
Duration: Jul 15 2010Jul 17 2010

Other

Other2010 IEEE International Conference on Service Operations and Logistics, and Informatics, SOLI 2010
CountryChina
CityQingDao
Period7/15/107/17/10

Fingerprint

Surveillance
Influenza
Beijing
World Wide Web
Experiment
Disease prevention
Shortage
Data collection
Search engine
Disease control
Human resources

ASJC Scopus subject areas

  • Information Systems and Management
  • Management Science and Operations Research

Cite this

Luo, Y., Zeng, D., Cao, Z., Zheng, X., Wang, Y., Wang, Q., & Zhao, H. (2010). Using multi-source web data for epidemic surveillance: A case study of the 2009 Influenza A (H1N1) pandemic in Beijing. In Proceedings of 2010 IEEE International Conference on Service Operations and Logistics, and Informatics, SOLI 2010 (pp. 76-81). [5551614] https://doi.org/10.1109/SOLI.2010.5551614

Using multi-source web data for epidemic surveillance : A case study of the 2009 Influenza A (H1N1) pandemic in Beijing. / Luo, Yuan; Zeng, Dajun; Cao, Zhidong; Zheng, Xiaolong; Wang, Youzhong; Wang, Quanyi; Zhao, Huimin.

Proceedings of 2010 IEEE International Conference on Service Operations and Logistics, and Informatics, SOLI 2010. 2010. p. 76-81 5551614.

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

Luo, Y, Zeng, D, Cao, Z, Zheng, X, Wang, Y, Wang, Q & Zhao, H 2010, Using multi-source web data for epidemic surveillance: A case study of the 2009 Influenza A (H1N1) pandemic in Beijing. in Proceedings of 2010 IEEE International Conference on Service Operations and Logistics, and Informatics, SOLI 2010., 5551614, pp. 76-81, 2010 IEEE International Conference on Service Operations and Logistics, and Informatics, SOLI 2010, QingDao, China, 7/15/10. https://doi.org/10.1109/SOLI.2010.5551614
Luo Y, Zeng D, Cao Z, Zheng X, Wang Y, Wang Q et al. Using multi-source web data for epidemic surveillance: A case study of the 2009 Influenza A (H1N1) pandemic in Beijing. In Proceedings of 2010 IEEE International Conference on Service Operations and Logistics, and Informatics, SOLI 2010. 2010. p. 76-81. 5551614 https://doi.org/10.1109/SOLI.2010.5551614
Luo, Yuan ; Zeng, Dajun ; Cao, Zhidong ; Zheng, Xiaolong ; Wang, Youzhong ; Wang, Quanyi ; Zhao, Huimin. / Using multi-source web data for epidemic surveillance : A case study of the 2009 Influenza A (H1N1) pandemic in Beijing. Proceedings of 2010 IEEE International Conference on Service Operations and Logistics, and Informatics, SOLI 2010. 2010. pp. 76-81
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