메뉴 건너뛰기




Volumn 144, Issue 2, 2016, Pages 325-332

Google Flu Trends in Canada: A comparison of digital disease surveillance data with physician consultations and respiratory virus surveillance data, 2010-2014

Author keywords

Public health; respiratory infections; surveillance

Indexed keywords

ARTICLE; CANADA; CONSULTATION; DISEASE SURVEILLANCE; FLU LIKE SYNDROME; HUMAN; HUMAN METAPNEUMOVIRUS INFECTION; INFLUENZA; INFLUENZA A; INFLUENZA B; RESPIRATORY SYNCYTIAL VIRUS INFECTION; RHINOVIRUS INFECTION; TREND STUDY; VIRAL RESPIRATORY TRACT INFECTION; AMBULATORY CARE; COMPARATIVE STUDY; HEALTH SURVEY; INFLUENZA, HUMAN; INTERNET; PROCEDURES; STATISTICS AND NUMERICAL DATA; TRENDS; VIROLOGY;

EID: 84949535001     PISSN: 09502688     EISSN: 14694409     Source Type: Journal    
DOI: 10.1017/S0950268815001478     Document Type: Article
Times cited : (13)

References (27)
  • 1
    • 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 2009; 457: 1012-1014.
    • (2009) Nature , vol.457 , pp. 1012-1014
    • Ginsberg, J.1
  • 2
    • 84878960538 scopus 로고    scopus 로고
    • Influenza activity-United States, 2012-13 season and composition of the 2013-14 influenza vaccine
    • Centers for Disease Control and Prevention. Influenza activity-United States, 2012-13 season and composition of the 2013-14 influenza vaccine. Morbidity and Mortality Weekly Report 2013; 62: 473-479.
    • (2013) Morbidity and Mortality Weekly Report , vol.62 , pp. 473-479
    • Centers for Disease Control and Prevention1
  • 3
    • 84873655668 scopus 로고    scopus 로고
    • When Google got flu wrong
    • Butler D. When Google got flu wrong. Nature 2013; 494: 155-156.
    • (2013) Nature , vol.494 , pp. 155-156
    • Butler, D.1
  • 4
    • 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, et al. Reassessing Google Flu Trends data for detection of seasonal and pandemic influenza: A comparative epidemiological study at three geographic scales. PLoS Computational Biology 2013; 9: e1003256.
    • (2013) PLoS Computational Biology , vol.9 , pp. e1003256
    • Olson, D.R.1
  • 6
    • 84938515299 scopus 로고    scopus 로고
    • Flu Trends updates model to help estimate flu levels in the US
    • Stefansen C. Flu Trends updates model to help estimate flu levels in the US. The Official googleorg blog, 2013.
    • (2013) The Official Googleorg Blog
    • Stefansen, C.1
  • 7
    • 80051831902 scopus 로고    scopus 로고
    • Assessing Google flu trends performance in the United States during the 2009 influenza virus A (H1N1) pandemic
    • Cook S, et al. 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
  • 8
    • 84949535806 scopus 로고    scopus 로고
    • Accessed 10 March
    • Google Flu Trends. Google Flu Trends Canada (http:// www.google.org/flutrends/ca/#CA). Accessed 10 March 2014.
    • (2014) Google Flu Trends Canada
  • 9
    • 84856717649 scopus 로고    scopus 로고
    • Google Flu Trends: Correlation with emergency department influenza rates and crowding metrics
    • Dugas AF, et al. Google Flu Trends: correlation with emergency department influenza rates and crowding metrics. Clinical Infectious Diseases 2012; 54: 463-469.
    • (2012) Clinical Infectious Diseases , vol.54 , pp. 463-469
    • Dugas, A.F.1
  • 10
    • 84874002846 scopus 로고    scopus 로고
    • Influenza forecasting with Google Flu Trends
    • Dugas AF, et al. Influenza forecasting with Google Flu Trends. PLoS ONE 2013; 8: e56176.
    • (2013) PLoS ONE , vol.8 , pp. e56176
    • Dugas, A.F.1
  • 11
    • 84890239936 scopus 로고    scopus 로고
    • Real-time influenza forecasts during the 2012-2013 season
    • Shaman J, et al. Real-time influenza forecasts during the 2012-2013 season. Nature Communications 2013; 4: 2837.
    • (2013) Nature Communications , vol.4 , pp. 2837
    • Shaman, J.1
  • 13
    • 79955690250 scopus 로고    scopus 로고
    • Monitoring influenza activity in the United States: A comparison of traditional surveillance systems with Google Flu Trends
    • Ortiz JR, et al. Monitoring influenza activity in the United States: A comparison of traditional surveillance systems with Google Flu Trends. PLoS ONE 2011; 6: e18687.
    • (2011) PLoS ONE , vol.6 , pp. e18687
    • Ortiz, J.R.1
  • 14
    • 77955123105 scopus 로고    scopus 로고
    • Monitoring influenza activity in Europe with Google Flu Trends: Comparison with the findings of sentinel physician networks-results for 2009-10
    • Valdivia A, et al. Monitoring influenza activity in Europe with Google Flu Trends: comparison with the findings of sentinel physician networks-results for 2009-10. Eurosurveillance 2010; 15.
    • (2010) Eurosurveillance , vol.15
    • Valdivia, A.1
  • 15
    • 79956360352 scopus 로고    scopus 로고
    • Web query-based surveillance in Sweden during the influenza A(H1N1)2009 pandemic, April 2009 to February 2010
    • Hulth A, Rydevik G. Web query-based surveillance in Sweden during the influenza A(H1N1)2009 pandemic, April 2009 to February 2010. Eurosurveillance 2011; 16.
    • (2011) Eurosurveillance , vol.16
    • Hulth, A.1    Rydevik, G.2
  • 16
    • 77449161361 scopus 로고    scopus 로고
    • Interpreting Google flu trends data for pandemic H1N1 influenza: The New Zealand experience
    • Wilson N, et al. Interpreting Google flu trends data for pandemic H1N1 influenza: The New Zealand experience. Eurosurveillance 2009; 14.
    • (2009) Eurosurveillance , vol.14
    • Wilson, N.1
  • 17
    • 79961205519 scopus 로고    scopus 로고
    • 'Google flu trends' and emergency department triage data predicted the 2009 pandemic H1N1 waves in Manitoba
    • Malik MT, et al. 'Google flu trends' and emergency department triage data predicted the 2009 pandemic H1N1 waves in Manitoba. Canadian Journal of Public Health 2011; 102: 294-297.
    • (2011) Canadian Journal of Public Health , vol.102 , pp. 294-297
    • Malik, M.T.1
  • 18
    • 84909991578 scopus 로고    scopus 로고
    • Emergency department and 'Google flu trends' data as syndromic surveillance indicators for seasonal influenza
    • Thompson LH, et al. Emergency department and 'Google flu trends' data as syndromic surveillance indicators for seasonal influenza. Epidemiology and Infection 2014; 142: 2397-2405.
    • (2014) Epidemiology and Infection , vol.142 , pp. 2397-2405
    • Thompson, L.H.1
  • 19
    • 77954333798 scopus 로고    scopus 로고
    • Accessed 11 July
    • Google. Frequently asked questions (http://www.google. org/flutrends/about/faq.html) Accessed 11 July 2014.
    • (2014) Frequently Asked Questions
  • 20
    • 84878624927 scopus 로고    scopus 로고
    • Review of the 2012-2013 winter influenza season, northern hemisphere
    • Anon. Review of the 2012-2013 winter influenza season, northern hemisphere. Weekly Epidemiological Record 2013; 88: 225-232.
    • (2013) Weekly Epidemiological Record , vol.88 , pp. 225-232
    • Anon1
  • 21
    • 45249091487 scopus 로고    scopus 로고
    • Validation of syndromic surveillance for respiratory pathogen activity
    • van denWijngaard C, et al. Validation of syndromic surveillance for respiratory pathogen activity. Emerging Infectious Diseases 2008; 14: 917-925.
    • (2008) Emerging Infectious Diseases , vol.14 , pp. 917-925
    • Van Den Wijngaard, C.1
  • 22
    • 84949531291 scopus 로고    scopus 로고
    • Accessed 10 March
    • Public Health Agency of Canada. FluWatch. (http://www. phac-aspc.gc.ca/fluwatch/index-eng.php). Accessed 10 March 2014.
    • (2014) FluWatch
  • 23
    • 84949539206 scopus 로고    scopus 로고
    • Accessed March
    • Public Health Agency of Canada. Respiratory Virus Detections/Isolations in Canada. (http://www.phac-aspc. gc.ca/bid-bmi/dsd-dsm/rvdi-divr/index-eng.php). Accessed March 2014.
    • (2014) Respiratory Virus Detections/Isolations in Canada


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.