Prediction of influenza epidemics at the province level in China using search query from Haosou

2015 12th International Conference on Fuzzy Systems and Knowledge Discovery, FSKD 2015

Volumn , Issue , 2016, Pages 1450-1454

  Zou, Yuanqiang ^a   Peng, Yousong ^a   Lu, Li ^a   Jiang, Taijiao ^a,b   Deng, Lizong ^c,d  

^a HUNAN UNIVERSITY   (China)

^b INSTITUTE OF BIOPHYSICS   (China)

^c SUZHOU INSTITUTE OF SYSTEMS MEDICINE   (China)

^d INSTITUTE OF BASIC MEDICAL SCIENCES   (China)

Author keywords

influenza epidemic; internet; search engine; statistical modeling

Indexed keywords

CORRELATION METHODS; DISEASES; FORECASTING; FUZZY SYSTEMS; INTERNET; LINEAR REGRESSION; MONITORING; NETWORK SECURITY; SEARCH ENGINES;

INFLUENZA EPIDEMICS; MULTIPLE LINEAR REGRESSIONS; PEARSON CORRELATION COEFFICIENTS; POOR PERFORMANCE; PREVENTION AND CONTROLS; STATISTICAL MODELING; SURVEILLANCE NETWORKS; UNIFIED MODELING;

EPIDEMIOLOGY;

EID: 84966633350     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/FSKD.2015.7382157     Document Type: Conference Paper

References (20)

1. Du X, Dong L, Lan Y, Peng Y, Wu A, Zhang Y, Huang W, Wang D, Wang M, Guo Y, Shu Y, Jiang T (2012) Mapping of H3N2 influenza antigenic evolution in China reveals a strategy for vaccine strain recommendation. Nat Commun 3: 709.
2. World Health Organization (2015) Influenza (Seasonal). Available from http://www.who.int/mediacentre/factsheets/fs211/en/.
3. World Health Organization (2015) Global influenza virological surveillance. Available from http://www.who.int/gho/epidemic-diseases/influenza/virological-s urveillance/en/
4. Chinese National Influenza Cener (2015). Available from http://www.cnic.org.cn/eng/
5. Milinovich GJ, Williams GM, Clements ACA, Hu WB (2014) Internet-based surveillance systems for monitoring emerging infectious diseases. Lancet Infectious Diseases 14: 160-168.
6. China Internet Network Information Center (2014) The 34th Chinese Internet Development Report.
7. Google company (2014) Google Flu Trends. Available from http://www.google.org/flutrends/
8. Ginsberg J, Mohebbi MH, Patel RS, Brammer L, Smolinski MS, Brilliant L (2009) Detecting influenza epidemics using search engine query data. Nature 457: 1012-U1014.
9. McIver DJ, Brownstein JS (2014) Wikipedia Usage Estimates Prevalence of Influenza-Like Illness in the United States in Near Real-Time. PLoS Comput Biol 10.
10. Valdivia A, Lopez-Alcalde J, Vicente M, Pichiule M, Ruiz M, Ordobas M (2010) Monitoring influenza activity in Europe with Google Flu Trends: comparison with the findings of sentinel physician networks-results for 2009-10. Eurosurveillance 15: 2-7.
11. Chew C, Eysenbach G (2010) Pandemics in the Age of Twitter: Content Analysis of Tweets during the 2009 H1N1 Outbreak. PLoS One 5.
12. Google company (2014) Google Dengue Trends. Available from http://www.google.org/denguetrends/intl/zh-cn/
13. Gu H, Chen B, Zhu H, Jiang T, Wang X, Chen L, Jiang Z, Zheng D, Jiang J (2014) Importance of Internet surveillance in public health emergency control and prevention: evidence from a digital epidemiologic study during avian influenza A H7N9 outbreaks. J Med Internet Res 16: e20.
14. Althouse BM, Ng YY, Cummings DA (2011) Prediction of dengue incidence using search query surveillance. PLoS Negl Trop Dis 5: e1258.
15. Chan EH, Sahai V, Conrad C, Brownstein JS (2011) Using Web Search Query Data to Monitor Dengue Epidemics: A New Model for Neglected Tropical Disease Surveillance. Plos Neglected Tropical Diseases 5.
16. Yuan Q, Nsoesie EO, Lv B, Peng G, Chunara R, Brownstein JS (2013) Monitoring influenza epidemics in china with search query from baidu. PLoS One 8: e64323.
17. Yu H, Alonso WJ, Feng L, Tan Y, Shu Y, Yang W, Viboud C (2013) Characterization of regional influenza seasonality patterns in China and implications for vaccination strategies: spatiotemporal modeling of surveillance data. PLoS Med 10: e1001552.
18. HUNT M (2015) Haosou, The Other Chinese Search Engine. Available from http://www.thesempost.com/haosou-Chinesesearch-engine/
19. R Core Team (2015) The R project for Statistical Computing. Available from http://www.r-project.org/
20. Ripley B (2015) tree: Classification and Regression Trees. Available from http://cran.rproject. org/web/packages/tree/index.html