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Volumn 4, Issue 4, 2018, Pages

Real time influenza monitoring using hospital big data in combination with machine learning methods: Comparison study

Author keywords

Big data; Electronic health records; Influenza; Infodemiology; Infoveillance; Machine learning; Sentinelles network

Indexed keywords


EID: 85067404542     PISSN: None     EISSN: 23692960     Source Type: Journal    
DOI: 10.2196/11361     Document Type: Article
Times cited : (20)

References (58)
  • 1
    • 33745836878 scopus 로고    scopus 로고
    • Strategies for mitigating an influenza pandemic
    • Jul 27; [doi] [Medline: 16642006]
    • Ferguson NM, Cummings DAT, Fraser C, Cajka JC, Cooley PC, Burke DS. Strategies for mitigating an influenza pandemic. Nature 2006 Jul 27;442(7101):448-452. [doi: 10.1038/nature04795] [Medline: 16642006]
    • (2006) Nature , vol.442 , Issue.7101 , pp. 448-452
    • Ferguson, NM1    Cummings, DAT2    Fraser, C3    Cajka, JC4    Cooley, PC5    Burke, DS.6
  • 2
    • 84947998511 scopus 로고    scopus 로고
    • Accurate estimation of influenza epidemics using Google search data via ARGO
    • Nov 24:. [doi]
    • Yang S, Santillana M, Kou S. Accurate estimation of influenza epidemics using Google search data via ARGO. Proceedings of the National Academy of Sciences 2015 Nov 24:14473. [doi: 10.1038/srep25732]
    • (2015) Proceedings of the National Academy of Sciences , pp. 14473
    • Yang, S1    Santillana, M2    Kou, S.3
  • 3
    • 64649097032 scopus 로고    scopus 로고
    • Innate immunity and inflammation-two facets of the same anti-infectious reaction
    • May; [FREE Full text] [doi] [Medline: 19302246]
    • Si-Tahar M, Touqui L, Chignard M. Innate immunity and inflammation-two facets of the same anti-infectious reaction. Clin Exp Immunol 2009 May;156(2):194-198 [FREE Full text] [doi: 10.1111/j.1365-2249.2009.03893.x] [Medline: 19302246]
    • (2009) Clin Exp Immunol , vol.156 , Issue.2 , pp. 194-198
    • Si-Tahar, M1    Touqui, L2    Chignard, M.3
  • 4
    • 84924132651 scopus 로고    scopus 로고
    • Inference of seasonal and pandemic influenza transmission dynamics
    • Feb 17; [doi] [Medline: 25730851]
    • Yang W, Lipsitch M, Shaman J. Inference of seasonal and pandemic influenza transmission dynamics. Proc Natl Acad Sci USA 2015 Feb 17;112(9):2723-2728. [doi: 10.1073/pnas.1415012112] [Medline: 25730851]
    • (2015) Proc Natl Acad Sci USA , vol.112 , Issue.9 , pp. 2723-2728
    • Yang, W1    Lipsitch, M2    Shaman, J.3
  • 5
    • 0035848356 scopus 로고    scopus 로고
    • Cost-benefit analysis of a strategy to vaccinate healthy working adults against influenza
    • Mar 12; [Medline: 11231710]
    • Nichol KL. Cost-benefit analysis of a strategy to vaccinate healthy working adults against influenza. Arch Intern Med 2001 Mar 12;161(5):749-759. [Medline: 11231710]
    • (2001) Arch Intern Med , vol.161 , Issue.5 , pp. 749-759
    • Nichol, KL.1
  • 7
    • 84966333746 scopus 로고    scopus 로고
    • Cloud-based Electronic Health Records for Real-time, Region-specific Influenza Surveillance
    • Dec 11;: [FREE Full text] [doi] [Medline: 27165494]
    • Santillana M, Nguyen AT, Louie T, Zink A, Gray J, Sung I, et al. Cloud-based Electronic Health Records for Real-time, Region-specific Influenza Surveillance. Sci Rep 2016 Dec 11;6:25732 [FREE Full text] [doi: 10.1038/srep25732] [Medline: 27165494]
    • (2016) Sci Rep , vol.6 , pp. 25732
    • Santillana, M1    Nguyen, AT2    Louie, T3    Zink, A4    Gray, J5    Sung, I6
  • 9
    • 84899439666 scopus 로고    scopus 로고
    • Influenza forecasting in human populations: a scoping review
    • [FREE Full text] [doi] [Medline: 24714027]
    • Chretien J, George D, Shaman J, Chitale RA, McKenzie FE. Influenza forecasting in human populations: a scoping review. PLoS One 2014;9(4):e94130 [FREE Full text] [doi: 10.1371/journal.pone.0094130] [Medline: 24714027]
    • (2014) PLoS One , vol.9 , Issue.4 , pp. e94130
    • Chretien, J1    George, D2    Shaman, J3    Chitale, RA4    McKenzie, FE.5
  • 10
    • 77949771773 scopus 로고    scopus 로고
    • Modeling and predicting seasonal influenza transmission in warm regions using climatological parameters
    • Mar 01; [FREE Full text] [doi] [Medline: 20209164]
    • Soebiyanto RP, Adimi F, Kiang RK. Modeling and predicting seasonal influenza transmission in warm regions using climatological parameters. PLoS One 2010 Mar 01;5(3):e9450 [FREE Full text] [doi: 10.1371/journal.pone.0009450] [Medline: 20209164]
    • (2010) PLoS One , vol.5 , Issue.3 , pp. e9450
    • Soebiyanto, RP1    Adimi, F2    Kiang, RK.3
  • 11
    • 84890239936 scopus 로고    scopus 로고
    • Real-time influenza forecasts during the 2012-2013 season
    • [FREE Full text] [doi] [Medline: 24302074]
    • Shaman J, Karspeck A, Yang W, Tamerius J, Lipsitch M. Real-time influenza forecasts during the 2012-2013 season. Nat Commun 2013;4:2837 [FREE Full text] [doi: 10.1038/ncomms3837] [Medline: 24302074]
    • (2013) Nat Commun , vol.4 , pp. 2837
    • Shaman, J1    Karspeck, A2    Yang, W3    Tamerius, J4    Lipsitch, M.5
  • 12
    • 84892509071 scopus 로고    scopus 로고
    • Internet-based surveillance systems for monitoring emerging infectious diseases
    • Feb; [doi] [Medline: 24290841]
    • Milinovich GJ, Williams GM, Clements ACA, Hu W. Internet-based surveillance systems for monitoring emerging infectious diseases. Lancet Infect Dis 2014 Feb;14(2):160-168. [doi: 10.1016/S1473-3099(13)70244-5] [Medline: 24290841]
    • (2014) Lancet Infect Dis , vol.14 , Issue.2 , pp. 160-168
    • Milinovich, GJ1    Williams, GM2    Clements, ACA3    Hu, W.4
  • 13
    • 60549098239 scopus 로고    scopus 로고
    • Detecting influenza epidemics using search engine query data
    • Feb 19; [doi] [Medline: 19020500]
    • Ginsberg J, Mohebbi MH, Patel RS, Brammer L, Smolinski MS, Brilliant L. Detecting influenza epidemics using search engine query data. Nature 2009 Feb 19;457(7232):1012-1014. [doi: 10.1038/nature07634] [Medline: 19020500]
    • (2009) Nature , vol.457 , Issue.7232 , pp. 1012-1014
    • Ginsberg, J1    Mohebbi, MH2    Patel, RS3    Brammer, L4    Smolinski, MS5    Brilliant, L.6
  • 14
    • 84870859794 scopus 로고    scopus 로고
    • Forecasting seasonal outbreaks of influenza
    • Nov 26; [doi] [Medline: 23184969]
    • Shaman J, Karspeck A. Forecasting seasonal outbreaks of influenza. Proceedings of the National Academy of Sciences 2012 Nov 26;109(50):20425-20430. [doi: 10.1073/pnas.1208772109] [Medline: 23184969]
    • (2012) Proceedings of the National Academy of Sciences , vol.109 , Issue.50 , pp. 20425-20430
    • Shaman, J1    Karspeck, A.2
  • 15
    • 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
    • [FREE Full text] [doi] [Medline: 24146603]
    • 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(10):e1003256 [FREE Full text] [doi: 10.1371/journal.pcbi.1003256] [Medline: 24146603]
    • (2013) PLoS Comput Biol , vol.9 , Issue.10 , pp. e1003256
    • Olson, DR1    Konty, KJ2    Paladini, M3    Viboud, C4    Simonsen, L.5
  • 16
    • 85047070411 scopus 로고    scopus 로고
    • Using Google Trends and ambient temperature to predict seasonal influenza outbreaks
    • Zhang Y, Bambrick H, Mengersen K, Tong S, Hu W. Using Google Trends and ambient temperature to predict seasonal influenza outbreaks. Environment International 2018;117:91.
    • (2018) Environment International , vol.117 , pp. 91
    • Zhang, Y1    Bambrick, H2    Mengersen, K3    Tong, S4    Hu, W.5
  • 17
    • 84891941337 scopus 로고    scopus 로고
    • National and local influenza surveillance through Twitter: an analysis of the 2012-2013 influenza epidemic
    • [FREE Full text] [doi] [Medline: 24349542]
    • Broniatowski DA, Paul MJ, Dredze M. National and local influenza surveillance through Twitter: an analysis of the 2012-2013 influenza epidemic. PLoS One 2013;8(12):e83672 [FREE Full text] [doi: 10.1371/journal.pone.0083672] [Medline: 24349542]
    • (2013) PLoS One , vol.8 , Issue.12 , pp. e83672
    • Broniatowski, DA1    Paul, MJ2    Dredze, M.3
  • 18
    • 84937499054 scopus 로고    scopus 로고
    • Twitter improves influenza forecasting
    • Oct 28; [FREE Full text] [doi] [Medline: 25642377]
    • Paul MJ, Dredze M, Broniatowski D. Twitter improves influenza forecasting. PLoS Curr 2014 Oct 28;6 [FREE Full text] [doi: 10.1371/currents.outbreaks.90b9ed0f59bae4ccaa683a39865d9117] [Medline: 25642377]
    • (2014) PLoS Curr , vol.6
    • Paul, MJ1    Dredze, M2    Broniatowski, D.3
  • 19
    • 84930606330 scopus 로고    scopus 로고
    • Forecasting the 2013-2014 influenza season using Wikipedia
    • May; [FREE Full text] [doi] [Medline: 25974758]
    • Hickmann KS, Fairchild G, Priedhorsky R, Generous N, Hyman JM, Deshpande A, et al. Forecasting the 2013-2014 influenza season using Wikipedia. PLoS Comput Biol 2015 May;11(5):e1004239 [FREE Full text] [doi: 10.1371/journal.pcbi.1004239] [Medline: 25974758]
    • (2015) PLoS Comput Biol , vol.11 , Issue.5 , pp. e1004239
    • Hickmann, KS1    Fairchild, G2    Priedhorsky, R3    Generous, N4    Hyman, JM5    Deshpande, A6
  • 20
    • 84912131759 scopus 로고    scopus 로고
    • Global disease monitoring and forecasting with Wikipedia
    • Nov; [FREE Full text] [doi] [Medline: 25392913]
    • Generous N, Fairchild G, Deshpande A, Del Valle SY, Priedhorsky R. Global disease monitoring and forecasting with Wikipedia. PLoS Comput Biol 2014 Nov;10(11):e1003892 [FREE Full text] [doi: 10.1371/journal.pcbi.1003892] [Medline: 25392913]
    • (2014) PLoS Comput Biol , vol.10 , Issue.11 , pp. e1003892
    • Generous, N1    Fairchild, G2    Deshpande, A3    Del Valle, SY4    Priedhorsky, R.5
  • 21
    • 84901331477 scopus 로고    scopus 로고
    • Wikipedia usage estimates prevalence of influenza-like illness in the United States in near real-time
    • Apr; [FREE Full text] [doi] [Medline: 24743682]
    • McIver DJ, Brownstein JS. Wikipedia usage estimates prevalence of influenza-like illness in the United States in near real-time. PLoS Comput Biol 2014 Apr;10(4):e1003581 [FREE Full text] [doi: 10.1371/journal.pcbi.1003581] [Medline: 24743682]
    • (2014) PLoS Comput Biol , vol.10 , Issue.4 , pp. e1003581
    • McIver, DJ1    Brownstein, JS.2
  • 22
    • 72849140260 scopus 로고    scopus 로고
    • Google trends: a web-based tool for real-time surveillance of disease outbreaks
    • Nov 15; [doi] [Medline: 19845471]
    • Carneiro HA, Mylonakis E. Google trends: a web-based tool for real-time surveillance of disease outbreaks. Clin Infect Dis 2009 Nov 15;49(10):1557-1564. [doi: 10.1086/630200] [Medline: 19845471]
    • (2009) Clin Infect Dis , vol.49 , Issue.10 , pp. 1557-1564
    • Carneiro, HA1    Mylonakis, E.2
  • 23
    • 84896056107 scopus 로고    scopus 로고
    • Big data. The parable of Google Flu: traps in big data analysis
    • Mar 14; [doi] [Medline: 24626916]
    • Lazer D, Kennedy R, King G, Vespignani A. Big data. The parable of Google Flu: traps in big data analysis. Science 2014 Mar 14;343(6176):1203-1205. [doi: 10.1126/science.1248506] [Medline: 24626916]
    • (2014) Science , vol.343 , Issue.6176 , pp. 1203-1205
    • Lazer, D1    Kennedy, R2    King, G3    Vespignani, A.4
  • 24
    • 84873655668 scopus 로고    scopus 로고
    • When Google got flu wrong
    • Feb 14; [doi] [Medline: 23407515]
    • Butler D. When Google got flu wrong. Nature 2013 Feb 14;494(7436):155-156. [doi: 10.1038/494155a] [Medline: 23407515]
    • (2013) Nature , vol.494 , Issue.7436 , pp. 155-156
    • Butler, D.1
  • 25
    • 34748860839 scopus 로고    scopus 로고
    • EMERSE: The Electronic Medical Record Search Engine
    • Presented at: 2006/11/11; Washington
    • Hanauer DA. EMERSE: The Electronic Medical Record Search Engine. 2006 Presented at: AMIA Annual Symposium Proceedings; 2006/11/11; Washington p. 941.
    • (2006) AMIA Annual Symposium Proceedings , pp. 941
    • Hanauer, DA.1
  • 29
    • 77953170556 scopus 로고    scopus 로고
    • Serving the enterprise and beyond with informatics for integrating biology and the bedside (i2b2)
    • [FREE Full text] [doi] [Medline: 20190053]
    • Murphy SN, Weber G, Mendis M, Gainer V, Chueh HC, Churchill S, et al. Serving the enterprise and beyond with informatics for integrating biology and the bedside (i2b2). J Am Med Inform Assoc 2010;17(2):124-130 [FREE Full text] [doi: 10.1136/jamia.2009.000893] [Medline: 20190053]
    • (2010) J Am Med Inform Assoc , vol.17 , Issue.2 , pp. 124-130
    • Murphy, SN1    Weber, G2    Mendis, M3    Gainer, V4    Chueh, HC5    Churchill, S6
  • 30
    • 85007480094 scopus 로고    scopus 로고
    • Mission and Sustainability of Informatics for Integrating Biology and the Bedside (i2b2)
    • [FREE Full text] [doi] [Medline: 25848608]
    • Murphy S, Wilcox A. Mission and Sustainability of Informatics for Integrating Biology and the Bedside (i2b2). EGEMS (Wash DC) 2014;2(2):1074 [FREE Full text] [doi: 10.13063/2327-9214.1074] [Medline: 25848608]
    • (2014) EGEMS (Wash DC) , vol.2 , Issue.2 , pp. 1074
    • Murphy, S1    Wilcox, A.2
  • 31
    • 84904961485 scopus 로고    scopus 로고
    • Demonstrating the use of high-volume electronic medical claims data to monitor local and regional influenza activity in the US
    • [FREE Full text] [doi] [Medline: 25072598]
    • Viboud C, Charu V, Olson D, Ballesteros S, Gog J, Khan F, et al. Demonstrating the use of high-volume electronic medical claims data to monitor local and regional influenza activity in the US. PLoS One 2014;9(7):e102429 [FREE Full text] [doi: 10.1371/journal.pone.0102429] [Medline: 25072598]
    • (2014) PLoS One , vol.9 , Issue.7 , pp. e102429
    • Viboud, C1    Charu, V2    Olson, D3    Ballesteros, S4    Gog, J5    Khan, F6
  • 33
    • 84918787542 scopus 로고    scopus 로고
    • Using clinicians' search query data to monitor influenza epidemics
    • Nov 15; [FREE Full text] [doi] [Medline: 25115873]
    • Santillana M, Nsoesie EO, Mekaru SR, Scales D, Brownstein JS. Using clinicians' search query data to monitor influenza epidemics. Clin Infect Dis 2014 Nov 15;59(10):1446-1450 [FREE Full text] [doi: 10.1093/cid/ciu647] [Medline: 25115873]
    • (2014) Clin Infect Dis , vol.59 , Issue.10 , pp. 1446-1450
    • Santillana, M1    Nsoesie, EO2    Mekaru, SR3    Scales, D4    Brownstein, JS.5
  • 34
    • 84906964288 scopus 로고    scopus 로고
    • [accessed 2018-06-19] [WebCite Cache ID 70IClAsSD]
    • Google Correlate. URL:https://www.google.com/trends/correlate [accessed 2018-06-19] [WebCite Cache ID 70IClAsSD]
    • Google Correlate
  • 35
    • 78651468316 scopus 로고    scopus 로고
    • [accessed 2018-06-20] [WebCite Cache ID 70JjgMxmh]
    • Google Trends. URL:https://trends.google.fr/trends/?geo=FR [accessed 2018-06-20] [WebCite Cache ID 70JjgMxmh]
    • Google Trends
  • 36
    • 84863304598 scopus 로고    scopus 로고
    • R Core Team. Vienna, Austria: R Foundation for Statistical Computing [FREE Full text]
    • R Core Team. R: A Language and Environment for Statistical Computing. Vienna, Austria: R Foundation for Statistical Computing 2015 [FREE Full text]
    • (2015) R: A Language and Environment for Statistical Computing
  • 38
    • 0023025540 scopus 로고
    • A computer network for the surveillance of communicable diseases: the French experiment
    • Valleron AJ, Bouvet E, Garnerin P. A computer network for the surveillance of communicable diseases: the French experiment. American Journal of Public Health 1986;76:92.
    • (1986) American Journal of Public Health , vol.76 , pp. 92
    • Valleron, AJ1    Bouvet, E2    Garnerin, P.3
  • 39
    • 34248222965 scopus 로고    scopus 로고
    • Virtual surveillance of communicable diseases: a 20-year experience in France
    • Oct; [doi] [Medline: 17089946]
    • Flahault A, Blanchon T, Dorléans Y, Toubiana L, Vibert JF, Valleron AJ. Virtual surveillance of communicable diseases: a 20-year experience in France. Stat Methods Med Res 2006 Oct;15(5):413-421. [doi: 10.1177/0962280206071639] [Medline: 17089946]
    • (2006) Stat Methods Med Res , vol.15 , Issue.5 , pp. 413-421
    • Flahault, A1    Blanchon, T2    Dorléans, Y3    Toubiana, L4    Vibert, JF5    Valleron, AJ.6
  • 40
    • 0011287416 scopus 로고    scopus 로고
    • [accessed 2018-06-19] [WebCite Cache ID 70IEHtetc]
    • Réseau Sentinelles. URL:https://websenti.u707.jussieu.fr/sentiweb [accessed 2018-06-19] [WebCite Cache ID 70IEHtetc]
    • Réseau Sentinelles
  • 41
  • 42
    • 85102372191 scopus 로고
    • Ridge regression: biaised estimation for nonorthogonal problems
    • Kennard EH. Ridge regression: biaised estimation for nonorthogonal problems. Technometrics 1970;1.
    • (1970) Technometrics , vol.1
    • Kennard, EH.1
  • 44
    • 77950537175 scopus 로고    scopus 로고
    • Regularization Paths for Generalized Linear Models via Coordinate Descent
    • Friedman J, Hastie T, Tibshirani R. Regularization Paths for Generalized Linear Models via Coordinate Descent. Journal of Statistical Software 2010;33:1-22.
    • (2010) Journal of Statistical Software , vol.33 , pp. 1-22
    • Friedman, J1    Hastie, T2    Tibshirani, R.3
  • 45
    • 0035478854 scopus 로고    scopus 로고
    • Random Forests
    • [doi]
    • Breiman L. Random Forests. Machine Learning 2001;45:5-32. [doi: 10.1023/A:1010933404324]
    • (2001) Machine Learning , vol.45 , pp. 5-32
    • Breiman, L.1
  • 46
    • 0345040873 scopus 로고    scopus 로고
    • Classification and Regression by randomForest
    • Liaw A, Wiener M. Classification and Regression by randomForest. R News 2002;2:18-22.
    • (2002) R News , vol.2 , pp. 18-22
    • Liaw, A1    Wiener, M.2
  • 47
    • 34249753618 scopus 로고
    • Support-vector networks
    • [doi]
    • Cortes C, Vapnik V. Support-vector networks. Machine Learning 1995;20(3):273-297. [doi: 10.1007/BF00994018]
    • (1995) Machine Learning , vol.20 , Issue.3 , pp. 273-297
    • Cortes, C1    Vapnik, V.2
  • 48
    • 85069650941 scopus 로고    scopus 로고
    • e1071: Misc Functions of the Department of Statistics
    • (Formerly: E1071)
    • Meyer D, Dimitriadou E, Hornik K. e1071: Misc Functions of the Department of Statistics. Probability Theory Group (Formerly: E1071) https://CRAN.R-project.org/package=e1071 2015.
    • (2015) Probability Theory Group
    • Meyer, D1    Dimitriadou, E2    Hornik, K.3
  • 50
    • 73849094087 scopus 로고    scopus 로고
    • Assessing the performance of prediction models: a framework for some traditional and novel measures
    • Steyerberg EW, Vickers AJ, Cook NR, Gerds T, Gonen M, Obuchowski N, et al. Assessing the performance of prediction models: a framework for some traditional and novel measures. Epidemiology 2010:128-138.
    • (2010) Epidemiology , pp. 128-138
    • Steyerberg, EW1    Vickers, AJ2    Cook, NR3    Gerds, T4    Gonen, M5    Obuchowski, N6
  • 51
    • 34548397297 scopus 로고    scopus 로고
    • Monitoring the Impact of Influenza by Agemergency Department Fever and Respiratory Complaint Surveillance in New York City
    • Olson D, Heffernan R, Paladini M, Konty K, Weiss D, Mostashari F. Monitoring the Impact of Influenza by Agemergency Department Fever and Respiratory Complaint Surveillance in New York City. PLOS Medicine 2007;4(8).
    • (2007) PLOS Medicine , vol.4 , Issue.8
    • Olson, D1    Heffernan, R2    Paladini, M3    Konty, K4    Weiss, D5    Mostashari, F.6
  • 52
    • 84874675307 scopus 로고    scopus 로고
    • SHRINE: enabling nationally scalable multi-site disease studies
    • [FREE Full text] [doi] [Medline: 23533569]
    • McMurry AJ, Murphy SN, MacFadden D, Weber G, Simons WW, Orechia J, et al. SHRINE: enabling nationally scalable multi-site disease studies. PLoS One 2013;8(3):e55811 [FREE Full text] [doi: 10.1371/journal.pone.0055811] [Medline: 23533569]
    • (2013) PLoS One , vol.8 , Issue.3 , pp. e55811
    • McMurry, AJ1    Murphy, SN2    MacFadden, D3    Weber, G4    Simons, WW5    Orechia, J6
  • 54
    • 85041040814 scopus 로고    scopus 로고
    • Accurate Influenza Monitoring and Forecasting Using Novel Internet Data Streams: A Case Study in the Boston Metropolis
    • Lu F, Hou S, Baltrusaitis K, Shah M, Leskovec J, Sosic R. Accurate Influenza Monitoring and Forecasting Using Novel Internet Data Streams: A Case Study in the Boston Metropolis. JMIR Public Health Surveillance 2018;4(1).
    • (2018) JMIR Public Health Surveillance , vol.4 , Issue.1
    • Lu, F1    Hou, S2    Baltrusaitis, K3    Shah, M4    Leskovec, J5    Sosic, R.6
  • 56
    • 85015840559 scopus 로고    scopus 로고
    • Infectious Disease Surveillance in the Big Data Era: Towards Faster and Locally Relevant Systems
    • Dec 01;: [FREE Full text] [doi] [Medline: 28830112]
    • Simonsen L, Gog JR, Olson D, Viboud C. Infectious Disease Surveillance in the Big Data Era: Towards Faster and Locally Relevant Systems. J Infect Dis 2016 Dec 01;214:S380-S385 [FREE Full text] [doi: 10.1093/infdis/jiw376] [Medline: 28830112]
    • (2016) J Infect Dis , vol.214 , pp. S380-S385
    • Simonsen, L1    Gog, JR2    Olson, D3    Viboud, C.4
  • 57
    • 85015897749 scopus 로고    scopus 로고
    • Big Data for Infectious Disease Surveillance and Modeling
    • Dec 01;: [FREE Full text] [doi] [Medline: 28830113]
    • Bansal S, Chowell G, Simonsen L, Vespignani A, Viboud C. Big Data for Infectious Disease Surveillance and Modeling. J Infect Dis 2016 Dec 01;214:S375-S379 [FREE Full text] [doi: 10.1093/infdis/jiw400] [Medline: 28830113]
    • (2016) J Infect Dis , vol.214 , pp. S375-S379
    • Bansal, S1    Chowell, G2    Simonsen, L3    Vespignani, A4    Viboud, C.5


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