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Volumn 59, Issue 10, 2014, Pages 1446-1450

Using clinicians' Search query data to monitor influenza epidemics

Author keywords

Digital disease detection; Internet based disease surveillance; Prediction of influenza

Indexed keywords

ARTICLE; DATA BASE; DECISION SUPPORT SYSTEM; DISEASE SURVEILLANCE; EPIDEMIC; HUMAN; INCIDENCE; INFLUENZA; INFORMATION; PREDICTION; UNITED STATES; FACTUAL DATABASE; HEALTH SURVEY; INFLUENZA, HUMAN; INTERNET; PHYSICIAN; PROCEDURES; REPRODUCIBILITY;

EID: 84918787542     PISSN: 10584838     EISSN: 15376591     Source Type: Journal    
DOI: 10.1093/cid/ciu647     Document Type: Article
Times cited : (65)

References (28)
  • 1
    • 3242790765 scopus 로고    scopus 로고
    • ProMED-mail: An early warning system for emerging diseases
    • Madoff LC. ProMED-mail: an early warning system for emerging diseases. Clin Infect Dis 2004;39:227-32.
    • (2004) Clin Infect Dis , vol.39 , pp. 227-232
    • Madoff, L.C.1
  • 2
    • 33749266709 scopus 로고    scopus 로고
    • Evaluation of ProMEDmail as an electronic early warning system for emerging animal diseases: 1996 to 2004
    • Cowen P, Garland T, Hugh-Jones ME, et al. Evaluation of ProMEDmail as an electronic early warning system for emerging animal diseases: 1996 to 2004. J Am Vet Med Assoc 2006;229:1090-9.
    • (2006) J Am Vet Med Assoc , vol.229 , pp. 1090-1099
    • Cowen, P.1    Garland, T.2    Hugh-Jones, M.E.3
  • 3
    • 84897562536 scopus 로고    scopus 로고
    • Crowdsourcing-harnessing the masses to advance health and medicine, a systematic review
    • Ranard B, Ha Y, Meisel Z, et al. Crowdsourcing-harnessing the masses to advance health and medicine, a systematic review. J Gen Intern Med 2014;29:187-203.
    • (2014) J Gen Intern Med , vol.29 , pp. 187-203
    • Ranard, B.1    Ha, Y.2    Meisel, Z.3
  • 7
    • 79957985746 scopus 로고    scopus 로고
    • Using Web search query data to monitor dengue epidemics: A new model for neglected tropical disease surveillance
    • Chan EH, Sahai V, Conrad C, Brownstein JS. Using Web search query data to monitor dengue epidemics: a new model for neglected tropical disease surveillance. PLoS Negl Trop Dis 2011;5:e1206.
    • (2011) PLoS Negl Trop Dis , vol.5 , pp. e1206
    • Chan, E.H.1    Sahai, V.2    Conrad, C.3    Brownstein, J.S.4
  • 10
    • 80051831902 scopus 로고    scopus 로고
    • Assessing Google Flu Trends performance in the United States during the 2009 influenza virus A (H1N1) pandemic
    • Cook S, Conrad C, Fowlkes AL, Mohebbi MH. Assessing Google Flu Trends performance in the United States during the 2009 influenza virus A (H1N1) pandemic. PLoS One 2011;6:e23610.
    • (2011) PLoS One , vol.6 , pp. e23610
    • Cook, S.1    Conrad, C.2    Fowlkes, A.L.3    Mohebbi, M.H.4
  • 11
    • 84873655668 scopus 로고    scopus 로고
    • When Google got flu wrong
    • Butler D. When Google got flu wrong. Nature 2013;494:155-6.
    • (2013) Nature , vol.494 , pp. 155-156
    • Butler, D.1
  • 12
    • 84887293587 scopus 로고    scopus 로고
    • Reassessing Google Flu Trends data for detection of seasonal and pandemic influenza: A comparative epidemiological study at three geographic scales
    • Olson DR, Konty KJ, Paladini M, Viboud C, Simonsen L. Reassessing Google Flu Trends data for detection of seasonal and pandemic influenza: a comparative epidemiological study at three geographic scales. PLoS Comput Biol 2013;9:e1003256.
    • (2013) PLoS Comput Biol , vol.9 , pp. e1003256
    • Olson, D.R.1    Konty, K.J.2    Paladini, M.3    Viboud, C.4    Simonsen, L.5
  • 13
    • 84896056107 scopus 로고    scopus 로고
    • The parable of Google Flu: Traps in big data analysis
    • Lazer D, Kennedy R, King G, Vespignani A. The parable of Google Flu: traps in big data analysis. Science 2014;343:1203-5.
    • (2014) Science , vol.343 , pp. 1203-1205
    • Lazer, D.1    Kennedy, R.2    King, G.3    Vespignani, A.4
  • 15
    • 84918779000 scopus 로고    scopus 로고
    • What can digital disease detection learn from (an external revision to) Google Flu Trends?
    • Santillana M, Zhang DW, Althouse BM, Ayers JW. What can digital disease detection learn from (an external revision to) Google Flu Trends? Am J Prev Med 2014;14:S0749-3797.
    • (2014) Am J Prev Med , vol.14 , pp. S0749-S3797
    • Santillana, M.1    Zhang, D.W.2    Althouse, B.M.3    Ayers, J.W.4
  • 16
    • 0035350098 scopus 로고    scopus 로고
    • Physicians' database searches as a tool for early detection of epidemics
    • Jormanainen V, Jousimaa J, Kunnamo I, Ruutu P. Physicians' database searches as a tool for early detection of epidemics. Emerg Infect Dis 2001;7:474-6.
    • (2001) Emerg Infect Dis , vol.7 , pp. 474-476
    • Jormanainen, V.1    Jousimaa, J.2    Kunnamo, I.3    Ruutu, P.4
  • 17
    • 84918840195 scopus 로고    scopus 로고
    • The value of library and information services in patient care: Canadian results from an international multisite study
    • Bartlett JC, Marshall JG. The value of library and information services in patient care: Canadian results from an international multisite study. J Can Health Libr Assoc 2013;34:138-46.
    • (2013) J Can Health Libr Assoc , vol.34 , pp. 138-146
    • Bartlett, J.C.1    Marshall, J.G.2
  • 18
    • 84874014420 scopus 로고    scopus 로고
    • How doctors make use of online, point-of-care clinical decision support systems: A case study of UpToDate
    • Addison J, Whitcombe J, William Glover S. How doctors make use of online, point-of-care clinical decision support systems: a case study of UpToDate. Health Info Libr J 2013;30:13-22.
    • (2013) Health Info Libr J , vol.30 , pp. 13-22
    • Addison, J.1    Whitcombe, J.2    William Glover, S.3
  • 19
    • 51249096277 scopus 로고    scopus 로고
    • Association of a clinical knowledge support system with improved patient safety, reduced complications and shorter length of stay among Medicare beneficiaries in acute care hospitals in the United States
    • Bonis PA, Pickens GT, Rind DM, Foster DA. Association of a clinical knowledge support system with improved patient safety, reduced complications and shorter length of stay among Medicare beneficiaries in acute care hospitals in the United States. Int J Med Inform 2008;77:745-53.
    • (2008) Int J Med Inform , vol.77 , pp. 745-753
    • Bonis, P.A.1    Pickens, G.T.2    Rind, D.M.3    Foster, D.A.4
  • 20
    • 85194972808 scopus 로고    scopus 로고
    • Regression shrinkage and selection via the Lasso
    • Tibshirani R. Regression shrinkage and selection via the Lasso. J R Stat Soc Ser B 1996;58:267-88.
    • (1996) J R Stat Soc Ser B , vol.58 , pp. 267-288
    • Tibshirani, R.1
  • 21
    • 33645807073 scopus 로고
    • Data assimilation in meteorology and oceanography
    • Ghil M, Malanotte-Rizzoli P. Data assimilation in meteorology and oceanography. Adv Geophys 1991;33:141-266.
    • (1991) Adv Geophys , vol.33 , pp. 141-266
    • Ghil, M.1    Malanotte-Rizzoli, P.2
  • 22
    • 0034633625 scopus 로고    scopus 로고
    • Data assimilation and its applications
    • Wang B, Zou X, Zhu J. Data assimilation and its applications. Proc Natl Acad Sci U S A 2000;97:11143-4.
    • (2000) Proc Natl Acad Sci U S A , vol.97 , pp. 11143-11144
    • Wang, B.1    Zou, X.2    Zhu, J.3
  • 24
    • 84874002846 scopus 로고    scopus 로고
    • Influenza forecasting with Google Flu Trends
    • Dugas AF, Jalalpour M, Gel Y, et al. Influenza forecasting with Google Flu Trends. PLoS One 2013;8:e56176.
    • (2013) PLoS One , vol.8 , pp. e56176
    • Dugas, A.F.1    Jalalpour, M.2    Gel, Y.3
  • 27
    • 48749089377 scopus 로고    scopus 로고
    • Surveillance Sans Frontieres: Internet-based emerging infectious disease intelligence and the HealthMap project
    • Brownstein JS, Freifeld CC, Reis BY, Mandl KD. Surveillance Sans Frontieres: Internet-based emerging infectious disease intelligence and the HealthMap project. PLoS Med 2008;5:e151.
    • (2008) PLoS Med , vol.5 , pp. e151
    • Brownstein, J.S.1    Freifeld, C.C.2    Reis, B.Y.3    Mandl, K.D.4
  • 28
    • 39649091877 scopus 로고    scopus 로고
    • HealthMap: Global infectious disease monitoring through automated classification and visualization of Internet media reports
    • Freifeld CC, Mandl KD, Reis BY, Brownstein JS. HealthMap: global infectious disease monitoring through automated classification and visualization of Internet media reports. J Am Med Inform Assoc 2008;15:150-7.
    • (2008) J Am Med Inform Assoc , vol.15 , pp. 150-157
    • Freifeld, C.C.1    Mandl, K.D.2    Reis, B.Y.3    Brownstein, J.S.4


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.