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Volumn 6, Issue , 2016, Pages

Using Baidu Search Index to Predict Dengue Outbreak in China

Author keywords

[No Author keywords available]

Indexed keywords

CHINA; DENGUE; EPIDEMIC; HEALTH SURVEY; HUMAN; REGRESSION ANALYSIS; STATISTICAL MODEL;

EID: 85000796383     PISSN: None     EISSN: 20452322     Source Type: Journal    
DOI: 10.1038/srep38040     Document Type: Article
Times cited : (68)

References (37)
  • 2
    • 84971394553 scopus 로고    scopus 로고
    • The global burden of dengue: An analysis from the Global Burden of Disease Study 2013
    • Stanaway, J. D. et al. The global burden of dengue: an analysis from the Global Burden of Disease Study 2013. The Lancet infectious diseases 16, 712-723, doi: 10.1016/S1473-3099(16)00026-8 (2016).
    • (2016) The Lancet Infectious Diseases , vol.16 , pp. 712-723
    • Stanaway, J.D.1
  • 3
    • 85000756784 scopus 로고    scopus 로고
    • WHO. (data of access: 05/05/2015)
    • WHO. Dengue (data of access: 05/05/2015). URL http://www.who.int/immunization/diseases/dengue/en/.
    • Dengue
  • 4
    • 84876804736 scopus 로고    scopus 로고
    • The global distribution and burden of dengue
    • Bhatt, S. et al. The global distribution and burden of dengue. Nature 496, 504-507, doi: 10.1038/nature12060 (2013).
    • (2013) Nature , vol.496 , pp. 504-507
    • Bhatt, S.1
  • 6
    • 84904850348 scopus 로고    scopus 로고
    • Time between the onset and diagnosis of dengue fever and related influencing factors in China
    • Wang, C. G., Liu, Q. Y. & Jiang, B. F. Time between the onset and diagnosis of dengue fever and related influencing factors in China. Chinese journal of epidemiology 33, 1064-1066 (2012).
    • (2012) Chinese Journal of Epidemiology , vol.33 , pp. 1064-1066
    • Wang, C.G.1    Liu, Q.Y.2    Jiang, B.F.3
  • 8
    • 60549098239 scopus 로고    scopus 로고
    • Detecting influenza epidemics using search engine query data
    • Ginsberg, J. et al. Detecting influenza epidemics using search engine query data. Nature 457, 1012-1014, doi: 10.1038/nature07634 (2009).
    • (2009) Nature , vol.457 , pp. 1012-1014
    • Ginsberg, J.1
  • 11
    • 80053900329 scopus 로고    scopus 로고
    • The effect of breast cancer awareness month on internet search activity-A comparison with awareness campaigns for lung and prostate cancer
    • Glynn, R. W., Kelly, J. C., Coffey, N., Sweeney, K. J. & Kerin, M. J. The effect of breast cancer awareness month on internet search activity-a comparison with awareness campaigns for lung and prostate cancer. BMC cancer 11, 442, doi: 10.1186/1471-2407-11-442 (2011).
    • (2011) BMC Cancer , vol.11 , pp. 442
    • Glynn, R.W.1    Kelly, J.C.2    Coffey, N.3    Sweeney, K.J.4    Kerin, M.J.5
  • 12
    • 84919493155 scopus 로고    scopus 로고
    • Role of big data in the early detection of Ebola and other emerging infectious diseases
    • Milinovich, G. J., Magalhaes, R. J. & Hu, W. Role of big data in the early detection of Ebola and other emerging infectious diseases. The Lancet. Global health 3, e20-21, doi: 10.1016/S2214-109X(14) 70356-0 (2015).
    • (2015) The Lancet. Global Health , vol.3 , pp. e20-e21
    • Milinovich, G.J.1    Magalhaes, R.J.2    Hu, W.3
  • 13
    • 84886738403 scopus 로고    scopus 로고
    • Using search queries for malaria surveillance, Thailand
    • Ocampo, A. J., Chunara, R. & Brownstein, J. S. Using search queries for malaria surveillance, Thailand. Malaria journal 12, 390, doi: Artn 39010.1186/1475-2875-12-390 (2013).
    • (2013) Malaria Journal , vol.12 , pp. 390
    • Ocampo, A.J.1    Chunara, R.2    Brownstein, J.S.3
  • 14
    • 84930999810 scopus 로고    scopus 로고
    • Using networks to combine "big data" and traditional surveillance to improve influenza predictions
    • Davidson, M. W., Haim, D. A. & Radin, J. M. Using networks to combine "big data" and traditional surveillance to improve influenza predictions. Scientific reports 5, 8154, doi: 10.1038/srep08154 (2015).
    • (2015) Scientific Reports , vol.5 , pp. 8154
    • Davidson, M.W.1    Haim, D.A.2    Radin, J.M.3
  • 15
    • 56349094270 scopus 로고    scopus 로고
    • (data of access: 05/05/2016)
    • China Internet Network Information Center (CINIC). The 37th statistical report on internet development in China (data of access: 05/05/2016). URL http://www.cnnic.cn/hlwfzyj/hlwxzbg/hlwtjbg/201601/P020160122444930951954.pdf.
    • The 37th Statistical Report on Internet Development in China
  • 16
    • 84878474470 scopus 로고    scopus 로고
    • Monitoring influenza epidemics in China with search query from baidu
    • Yuan, Q. et al. Monitoring influenza epidemics in china with search query from baidu. PloS one 8, e64323, doi: 10.1371/journal. pone.0064323 (2013).
    • (2013) PloS One , vol.8 , pp. e64323
    • Yuan, Q.1
  • 18
    • 84938150088 scopus 로고    scopus 로고
    • Early detection of an epidemic erythromelalgia outbreak using Baidu search data
    • Gu, Y. et al. Early detection of an epidemic erythromelalgia outbreak using Baidu search data. Scientific reports 5, 12649, doi: 10.1038/srep12649 (2015).
    • (2015) Scientific Reports , vol.5 , pp. 12649
    • Gu, Y.1
  • 20
    • 79955021421 scopus 로고    scopus 로고
    • Clinical diagnosis of West Nile Fever in Equids by classification and regression tree (CART) analysis and comparative study of clinical appearance in three European countries
    • Porter, R. S. et al. Clinical diagnosis of West Nile Fever in Equids by classification and regression tree (CART) analysis and comparative study of clinical appearance in three European countries. Transboundary and emerging diseases 58, 197-205, doi: 10.1111/j.1865-1682.2010.01196.x (2011).
    • (2011) Transboundary and Emerging Diseases , vol.58 , pp. 197-205
    • Porter, R.S.1
  • 21
    • 84908221435 scopus 로고    scopus 로고
    • A threshold analysis of dengue transmission in terms of weather variables and imported dengue cases in Australia
    • Huang, X., Clements, A. C., Williams, G., Milinovich, G. & Hu, W. A threshold analysis of dengue transmission in terms of weather variables and imported dengue cases in Australia. Emerg Microbes Infect 2, e87, doi: 10.1038/emi.2013.85 (2013).
    • (2013) Emerg Microbes Infect , vol.2 , pp. e87
    • Huang, X.1    Clements, A.C.2    Williams, G.3    Milinovich, G.4    Hu, W.5
  • 23
    • 84896056107 scopus 로고    scopus 로고
    • Big data. The parable of Google Flu: Traps in big data analysis
    • Lazer, D., Kennedy, R., King, G. & Vespignani, A. Big data. The parable of Google Flu: traps in big data analysis. Science (New York, N.Y.) 343, 1203-1205, doi: 10.1126/science.1248506 (2014).
    • (2014) Science (New York, N.Y.) , vol.343 , pp. 1203-1205
    • Lazer, D.1    Kennedy, R.2    King, G.3    Vespignani, A.4
  • 24
    • 65149092436 scopus 로고    scopus 로고
    • Timeliness of national notifiable diseases surveillance system in Korea: A cross-sectional study
    • Yoo, H. S. et al. Timeliness of national notifiable diseases surveillance system in Korea: a cross-sectional study. BMC public health 9, 93, doi: 10.1186/1471-2458-9-93 (2009).
    • (2009) BMC Public Health , vol.9 , pp. 93
    • Yoo, H.S.1
  • 25
    • 79957985746 scopus 로고    scopus 로고
    • Using web search query data to monitor dengue epidemics: A new model for neglected tropical disease surveillance
    • Chan, E. H., Sahai, V., Conrad, C. & Brownstein, J. S. Using web search query data to monitor dengue epidemics: a new model for neglected tropical disease surveillance. PLoS neglected tropical diseases 5, e1206, doi: 10.1371/journal.pntd.0001206 (2011).
    • (2011) PLoS Neglected Tropical Diseases , vol.5 , pp. e1206
    • Chan, E.H.1    Sahai, V.2    Conrad, C.3    Brownstein, J.S.4
  • 26
    • 80052395153 scopus 로고    scopus 로고
    • Prediction of dengue incidence using search query surveillance
    • Althouse, B. M., Ng, Y. Y. & Cummings, D. A. Prediction of dengue incidence using search query surveillance. PLoS neglected tropical diseases 5, e1258, doi: 10.1371/journal.pntd.0001258 (2011).
    • (2011) PLoS Neglected Tropical Diseases , vol.5 , pp. e1258
    • Althouse, B.M.1    Ng, Y.Y.2    Cummings, D.A.3
  • 27
    • 84907829590 scopus 로고    scopus 로고
    • Evaluation of the timeliness and completeness of communicable disease reporting: Surveillance in the Cuban Hospital, Qatar
    • Garcell, H. G., Hernandez, T. M., Abdo, E. A. & Arias, A. V. Evaluation of the timeliness and completeness of communicable disease reporting: Surveillance in The Cuban Hospital, Qatar. Qatar medical journal 2014, 50-56, doi: 10.5339/qmj.2014.9 (2014).
    • (2014) Qatar Medical Journal , vol.2014 , pp. 50-56
    • Garcell, H.G.1    Hernandez, T.M.2    Abdo, E.A.3    Arias, A.V.4
  • 28
    • 84926284171 scopus 로고    scopus 로고
    • Evaluation of the performance of a dengue outbreak detection tool for China
    • Zhang, H. et al. Evaluation of the Performance of a Dengue Outbreak Detection Tool for China. PloS one 9, e106144, doi: 10.1371/journal.pone.0106144 (2014).
    • (2014) PloS One , vol.9 , pp. e106144
    • Zhang, H.1
  • 29
    • 0033749212 scopus 로고    scopus 로고
    • Classification and regression tree: A powerful yet simple technique for ecological data analysis
    • De'ath G, F. K. Classification and regression tree: a powerful yet simple technique for ecological data analysis. Ecology 81, 3178-3192 (2000).
    • (2000) Ecology , vol.81 , pp. 3178-3192
    • De'Ath, G.F.K.1
  • 30
    • 0034503178 scopus 로고    scopus 로고
    • Classification trees: An alternative non-parametric approach for predicting species distributions
    • Vayssieres, M. P., Plant, R. E. & Allen-Diaz, B. H. Classification trees: An alternative non-parametric approach for predicting species distributions. Journal of Vegetation Science 11, 679-694, doi: Doi 10.2307/3236575 (2000).
    • (2000) Journal of Vegetation Science , vol.11 , pp. 679-694
    • Vayssieres, M.P.1    Plant, R.E.2    Allen-Diaz, B.H.3
  • 31
    • 84946493266 scopus 로고    scopus 로고
    • Classification and regression tree analysis vs. Multivariable linear and logistic regression methods as statistical tools for studying haemophilia
    • Henrard, S., Speybroeck, N. & Hermans, C. Classification and regression tree analysis vs. multivariable linear and logistic regression methods as statistical tools for studying haemophilia. Haemophilia 21, 715-722, doi: 10.1111/hae.12778 (2015).
    • (2015) Haemophilia , vol.21 , pp. 715-722
    • Henrard, S.1    Speybroeck, N.2    Hermans, C.3
  • 33
    • 84928546988 scopus 로고    scopus 로고
    • An application in identifying high-risk populations in alternative tobacco product use utilizing logistic regression and CART: A heuristic comparison
    • Lei, Y., Nollen, N., Ahluwahlia, J. S., Yu, Q. & Mayo, M. S. An application in identifying high-risk populations in alternative tobacco product use utilizing logistic regression and CART: a heuristic comparison. BMC public health 15, 341, doi: 10.1186/s12889-015-1582-z (2015).
    • (2015) BMC Public Health , vol.15 , pp. 341
    • Lei, Y.1    Nollen, N.2    Ahluwahlia, J.S.3    Yu, Q.4    Mayo, M.S.5
  • 34
    • 84938993470 scopus 로고    scopus 로고
    • The changing epidemiology of dengue in China, 1990-2014: A descriptive analysis of 25 years of nationwide surveillance data
    • Lai, S. et al. The changing epidemiology of dengue in China, 1990-2014: a descriptive analysis of 25 years of nationwide surveillance data. BMC Med 13, 100, doi: 10.1186/s12916-015-0336-1 (2015).
    • (2015) BMC Med , vol.13 , pp. 100
    • Lai, S.1
  • 35
    • 85000863748 scopus 로고    scopus 로고
    • (data of access: 05/05/2016)
    • National Health and Family Planning Commission of the People's Republic of China. Diagnostic criteria for dengue fever (WS 216-2008) (data of access: 05/05/2016). URL http://www.moh.gov.cn/public- files/business/cmsresources/zwgkzt/cmsrsdocument/doc3264.pdf.
    • Diagnostic Criteria for Dengue Fever (WS 216-2008)
  • 36
    • 85000638345 scopus 로고    scopus 로고
    • (data of access: 05/05/2016)
    • National Health and Family Planning Commission of the People's Republic of China. Diagnostic criteria for dengue fever (WS 216-2001) (data of access: 05/05/2016). URL http://www.nhfpc.gov.cn/zwgkzt/s9491/201212/34051.shtml.
    • Diagnostic Criteria for Dengue Fever (WS 216-2001)
  • 37
    • 44849118698 scopus 로고    scopus 로고
    • A working guide to boosted regression trees
    • Elith, J., Leathwick, J. R. & Hastie, T. A working guide to boosted regression trees. The Journal of animal ecology 77, 802-813, doi: 10.1111/j.1365-2656.2008.01390.x (2008).
    • (2008) The Journal of Animal Ecology , vol.77 , pp. 802-813
    • Elith, J.1    Leathwick, J.R.2    Hastie, T.3


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