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Volumn , Issue , 2014, Pages 657-662

Integration and visualization public health dashboard: The medi+board pilot project

Author keywords

Cross validation; Dashboard; Epidemic intelligence; Outbreak detection; Real time data scanning

Indexed keywords

DATA HANDLING; DATA VISUALIZATION; DECISION MAKING; INTEGRATION; MONITORING; ONLINE SYSTEMS; PUBLIC HEALTH; RELIABILITY ANALYSIS; RISK ASSESSMENT; SECURITY SYSTEMS; SIGNAL DETECTION; SOCIAL NETWORKING (ONLINE); VISUALIZATION;

EID: 84905732232     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1145/2567948.2579276     Document Type: Conference Paper
Times cited : (19)

References (23)
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    • Hay, S.I.1    George, D.B.2    Moyer, C.L.3    Brownstein, J.S.4
  • 5
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  • 6
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    • WHO, http://www.who.int/csr/alertresponse/epidemicintelligence/en/index.html.
    • WHO1
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    • http://healthmap.org/en/?gclid=COmHjfHtiKwCFdQLfAodcH-V-Q.
  • 13
    • 84883417027 scopus 로고    scopus 로고
    • Major infection events over 5 years: How is media coverage influencing online information needs of health care professionals and the public?
    • P Kostkova, D Fowler, S Wiseman, JR Weinberg, Major infection events over 5 years: how is media coverage influencing online information needs of health care professionals and the public? J Med Internet Res 2013;15(7):e107) doi:10.2196/jmir.2146.
    • (2013) J Med Internet Res , vol.15 , Issue.7 , pp. e107
    • Kostkova, P.1    Fowler, D.2    Wiseman, S.3    Weinberg, J.R.4
  • 16
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    • M Szomszor, P Kostkova (Eds.): ehealth 2010, Springer Lecture Notes of the Institute for Computer Sciences, Social-Informatics and Telecommunications Engineering LNICST 69, 2011
    • Szomszor, M., Kostkova, P., de Quincey, E. (2010). #swineflu: Twitter Predicts Swine Flu Outbreak in 2009. M Szomszor, P Kostkova (Eds.): ehealth 2010, Springer Lecture Notes of the Institute for Computer Sciences, Social-Informatics and Telecommunications Engineering LNICST 69, pages 18-26, 2011.
    • (2010) Swineflu: Twitter Predicts Swine Flu Outbreak in 2009 , pp. 18-26
    • Szomszor, M.1    Kostkova, P.2    De Quincey, E.3
  • 17
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    • Nowcasting events from the social web with statistical learning
    • September
    • V Lampos, N Cristiani. Nowcasting Events from the Social Web with Statistical Learning. ACM TISM, Vol 3, No 4, Article72, September 2012.
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    • Lampos, V.1    Cristiani, N.2
  • 18
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    • Towards detecting influenza epidemics by analyzing Twitter messages
    • A Culotta. Towards detecting influenza epidemics by analyzing Twitter messages. ACM, Proceedings of the SOMA '10, pages 115-122.
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  • 21
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    • The use of twitter to track levels of disease activity and public health concern in the U.S. During the Influenza a H1N1 Pandemic
    • A Signorini, AM Segre, P. M. Polgreen. The Use of Twitter to track levels of Disease Activity and public Health Concern in the U.S. during the Influenza a H1N1 Pandemic. PLOS One. 2011; 6(5): e19467, doi:10.1371/journal.pone.0019467.
    • (2011) PLOS One , vol.6 , Issue.5 , pp. e19467
    • Signorini, A.1    Segre, A.M.2    Polgreen, P.M.3


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.