메뉴 건너뛰기




Volumn 5, Issue , 2015, Pages

Advances in nowcasting influenza-like illness rates using search query logs

Author keywords

[No Author keywords available]

Indexed keywords

HEALTH SURVEY; HUMAN; INFLUENZA, HUMAN; INTERNET; PROCEDURES; REGRESSION ANALYSIS; RESPIRATORY TRACT INFECTIONS; SEARCH ENGINE; SEASON; STATISTICS AND NUMERICAL DATA; THEORETICAL MODEL; UNITED STATES;

EID: 84938513272     PISSN: None     EISSN: 20452322     Source Type: Journal    
DOI: 10.1038/srep12760     Document Type: Article
Times cited : (130)

References (44)
  • 3
    • 84862835806 scopus 로고    scopus 로고
    • Predicting the present with google trends
    • Choi, H. & Varian, H. R. Predicting the Present with Google Trends. Economic Record 88, 2-9 (2012).
    • (2012) Economic Record , vol.88 , pp. 2-9
    • Choi, H.1    Varian, H.R.2
  • 7
    • 78049334454 scopus 로고    scopus 로고
    • Predicting consumer behavior with Web search
    • Goel, S., Hofman, J. M., Lahaie, S., Pennock, D. M. & Watts, D. J. Predicting consumer behavior with Web search. PNAS 107, 17486-17490 (2010).
    • (2010) PNAS , vol.107 , pp. 17486-17490
    • Goel, S.1    Hofman, J.M.2    Lahaie, S.3    Pennock, D.M.4    Watts, D.J.5
  • 8
    • 84905485554 scopus 로고    scopus 로고
    • Predicting the present with Bayesian structural time series
    • Scott, S. L. & Varian, H. R. Predicting the Present with Bayesian Structural Time Series. Inter J Math Model Num Opt 5, 4-23 (2014).
    • (2014) Ter J Math Model Num Opt , vol.5 , pp. 4-23
    • Scott, S.L.1    Varian, H.R.2
  • 11
    • 55849086729 scopus 로고    scopus 로고
    • Analysis of web access logs for surveillance of influenza
    • Johnson, H. A. et al. Analysis of Web access logs for surveillance of influenza. Stud Health Technol Inform 107, 1202-1206 (2004).
    • (2004) Stud Health Technol Inform , vol.107 , pp. 1202-1206
    • Johnson, H.A.1
  • 12
    • 67651237086 scopus 로고    scopus 로고
    • Infodemiology and infoveillance: Framework for an emerging set of public health informatics methods to analyze search communication and publication behavior on the internet
    • Eysenbach, G. Infodemiology and Infoveillance: Framework for an Emerging Set of Public Health Informatics Methods to Analyze Search, Communication and Publication Behavior on the Internet. J Med Internet Res. 11, e11 (2009).
    • (2009) J Med Internet Res. , vol.11 , pp. e11
    • Eysenbach, G.1
  • 13
    • 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 (2009).
    • (2009) Nature , vol.457 , pp. 1012-1014
    • Ginsberg, J.1
  • 14
    • 79956040653 scopus 로고    scopus 로고
    • Towards detecting influenza epidemics by analyzing twitter messages
    • ACM, Washington, DC, USA
    • Culotta, A. Towards Detecting Influenza Epidemics by Analyzing Twitter Messages. In Proc. of the 1st Workshop on Social Media Analytics 115-122 (ACM, Washington, DC, USA 2010).
    • (2010) Proc. of the 1st Workshop on Social Media Analytics , pp. 115-122
    • Culotta, A.1
  • 15
    • 84867410703 scopus 로고    scopus 로고
    • Nowcasting events from the social web with statistical learning
    • Lampos, V. & Cristianini, N. Nowcasting Events from the Social Web with Statistical Learning. ACM Trans Intell Syst Technol 3, 72:1-72:22 (2012).
    • (2012) ACM Trans Intell Syst Technol , vol.3 , pp. 721-7222
    • Lampos, V.1    Cristianini, N.2
  • 17
    • 84928205991 scopus 로고    scopus 로고
    • Discovering health topics in social media using topic models
    • Paul, M. J. & Dredze, M. Discovering Health Topics in Social Media Using Topic Models. PLoS ONE 9, e103408 (2014).
    • (2014) PLoS ONE , vol.9 , pp. e103408
    • Paul, M.J.1    Dredze, M.2
  • 18
    • 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, A. L. & Mohebbi, M. H. Assessing Google Flu Trends Performance in the United States during the 2009 Influenza Virus A (H1N1) Pandemic. PLoS ONE 6, e23610 (2011).
    • (2011) PLoS ONE , vol.6 , pp. e23610
    • Cook, S.1    Conrad, C.2    Fowlkes, A.L.3    Mohebbi, M.H.4
  • 19
    • 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, D. R., Konty, K. J., 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 9, e1003256 (2013).
    • (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
  • 20
    • 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 343, 1203-1205 (2014).
    • (2014) Science , vol.343 , pp. 1203-1205
    • Lazer, D.1    Kennedy, R.2    King, G.3    Vespignani, A.4
  • 21
    • 0027837358 scopus 로고
    • TITAN: Thunderstorm identification, tracking, analysis, and nowcasting-A radar-based methodology
    • Dixon, M. & Wiener, G. TITAN: Thunderstorm identification, tracking, analysis, and nowcasting-A radar-based methodology. J Atmos Oceanic Technol 10, 785-797 (1993).
    • (1993) J Atmos Oceanic Technol , vol.10 , pp. 785-797
    • Dixon, M.1    Wiener, G.2
  • 22
    • 46949109976 scopus 로고    scopus 로고
    • Nowcasting: The real-time informational content of macroeconomic data
    • Giannone, D., Reichlin, L. & Small, D. Nowcasting: The real-time informational content of macroeconomic data. J Monet Econ 55, 665-676 (2008).
    • (2008) J Monet Econ , vol.55 , pp. 665-676
    • Giannone, D.1    Reichlin, L.2    Small, D.3
  • 23
    • 84874751668 scopus 로고    scopus 로고
    • Lightweight methods to estimate influenza rates and alcohol sales volume from Twitter messages
    • Culotta, A. Lightweight methods to estimate influenza rates and alcohol sales volume from Twitter messages. Lang Resour Eval 47, 217-238 (2013).
    • (2013) Lang Resour Eval , vol.47 , pp. 217-238
    • Culotta, A.1
  • 25
    • 85194972808 scopus 로고    scopus 로고
    • Regression shrinkage and selection via the lasso
    • Tibshirani, R. Regression shrinkage and selection via the lasso. J Roy Stat Soc B Met 58, 267-288 (1996).
    • (1996) J Roy Stat Soc B Met , vol.58 , pp. 267-288
    • Tibshirani, R.1
  • 26
    • 33845263263 scopus 로고    scopus 로고
    • On model selection consistency of lasso
    • Zhao, P. & Yu, B. On Model Selection Consistency of Lasso. J Mach Learn Res 7, 2541-2563 (2006).
    • (2006) J Mach Learn Res , vol.7 , pp. 2541-2563
    • Zhao, P.1    Yu, B.2
  • 27
    • 16244401458 scopus 로고    scopus 로고
    • Regularization and variable selection via the elastic net
    • Zou, H. & Hastie, T. Regularization and variable selection via the elastic net. J Roy Stat Soc B Met 67, 301-320 (2005).
    • (2005) J Roy Stat Soc B Met , vol.67 , pp. 301-320
    • Zou, H.1    Hastie, T.2
  • 32
    • 0020102027 scopus 로고
    • Least squares quantization in PCM
    • Lloyd, S. Least squares quantization in PCM. IEEE Trans Inf Theory 28, 129-137 (1982).
    • (1982) IEEE Trans Inf Theory , vol.28 , pp. 129-137
    • Lloyd, S.1
  • 35
    • 84906354517 scopus 로고    scopus 로고
    • What can digital disease detection learn from (an external revision to) Google Flu Trends
    • Santillana, M., Zhang, D. W., Althouse, B. M. & Ayers, J. W. What can digital disease detection learn from (an external revision to) Google Flu Trends? Am J Prev Med. 47, 341-347 (2014).
    • (2014) Am J Prev Med. , vol.47 , pp. 341-347
    • Santillana, M.1    Zhang, D.W.2    Althouse, B.M.3    Ayers, J.W.4
  • 36
    • 84922376391 scopus 로고    scopus 로고
    • Adaptive nowcasting of influenza outbreaks using Google searches
    • Preis, T. & Moat, H. S. Adaptive nowcasting of influenza outbreaks using Google searches. Roy Soc Open Sci 1 (2014).
    • (2014) Roy Soc Open Sci , vol.1
    • Preis, T.1    Moat, H.S.2
  • 39
    • 48749112805 scopus 로고    scopus 로고
    • Automatic time series forecasting: The forecast Package for R
    • Hyndman, R. J. & Khandakar, Y. Automatic Time Series Forecasting: The forecast Package for R. J Stat Softw 27, 1-22 (2008).
    • (2008) J Stat Softw , vol.27 , pp. 1-22
    • Hyndman, R.J.1    Khandakar, Y.2
  • 40
    • 84891941337 scopus 로고    scopus 로고
    • National and local influenza surveillance through twitter: An analysis of the 2012-2013 influenza epidemic
    • Broniatowski, D. A., Paul, M. J. & Dredze, M. National and Local Influenza Surveillance through Twitter: An Analysis of the 2012-2013 Influenza Epidemic. PLoS ONE 8, e83672 (2013).
    • (2013) PLoS ONE , vol.8 , pp. e83672
    • Broniatowski, D.A.1    Paul, M.J.2    Dredze, M.3
  • 41
    • 84884905426 scopus 로고    scopus 로고
    • Health status, health insurance, and medical services utilization: 2010
    • O'Hara, B. & Caswell, K. Health Status, Health Insurance, and Medical Services Utilization: 2010. Curr Pop Rep. 70-133 (2012).
    • (2012) Curr Pop Rep. , pp. 70-133
    • O'hara, B.1    Caswell, K.2
  • 42
    • 84930941357 scopus 로고    scopus 로고
    • Global spatio-temporal patterns of influenza in the post-pandemic era
    • Daihai, H. et al. Global Spatio-temporal Patterns of Influenza in the Post-pandemic Era. Sci Rep. 5 (2015).
    • (2015) Sci Rep. , vol.5
    • Daihai, H.1
  • 43
    • 78149283685 scopus 로고    scopus 로고
    • Identification of influential spreaders in complex networks
    • Kitsak, M. et al. Identification of influential spreaders in complex networks. Nature Phys. 6, 888-893 (2010).
    • (2010) Nature Phys. , vol.6 , pp. 888-893
    • Kitsak, M.1
  • 44
    • 84864870003 scopus 로고    scopus 로고
    • Locating the source of diffusion in large-scale networks
    • Pinto, P. C., Thiran, P. & Vetterli, M. Locating the Source of Diffusion in Large-Scale Networks. Phys Rev Lett 109, 068702 (2012).
    • (2012) Phys Rev Lett , vol.109 , pp. 068702
    • Pinto, P.C.1    Thiran, P.2    Vetterli, M.3


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.