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 language | English (US) |
|---|---|
| Title of host publication | Proceedings of 2010 IEEE International Conference on Service Operations and Logistics, and Informatics, SOLI 2010 |
| Pages | 76-81 |
| Number of pages | 6 |
| DOIs | |
| State | Published - 2010 |
| Event | 2010 IEEE International Conference on Service Operations and Logistics, and Informatics, SOLI 2010 - QingDao, China Duration: Jul 15 2010 → Jul 17 2010 |
Other
| Other | 2010 IEEE International Conference on Service Operations and Logistics, and Informatics, SOLI 2010 |
|---|---|
| Country | China |
| City | QingDao |
| Period | 7/15/10 → 7/17/10 |
Fingerprint
ASJC Scopus subject areas
- Information Systems and Management
- Management Science and Operations Research
Cite this
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 proceeding › Conference contribution
}
TY - GEN
T1 - Using multi-source web data for epidemic surveillance
T2 - A case study of the 2009 Influenza A (H1N1) pandemic in Beijing
AU - Luo, Yuan
AU - Zeng, Dajun
AU - Cao, Zhidong
AU - Zheng, Xiaolong
AU - Wang, Youzhong
AU - Wang, Quanyi
AU - Zhao, Huimin
PY - 2010
Y1 - 2010
N2 - 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.
AB - 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.
UR - http://www.scopus.com/inward/record.url?scp=77957811331&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=77957811331&partnerID=8YFLogxK
U2 - 10.1109/SOLI.2010.5551614
DO - 10.1109/SOLI.2010.5551614
M3 - Conference contribution
SN - 9781424471188
SP - 76
EP - 81
BT - Proceedings of 2010 IEEE International Conference on Service Operations and Logistics, and Informatics, SOLI 2010
ER -