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Volumn 16, Issue 8, 2010, Pages 1319-1321

Eye-opening approach to norovirus surveillance

Author keywords

[No Author keywords available]

Indexed keywords

BACILLUS CEREUS; DIARRHEA; DISEASE SURVEILLANCE; GENOTYPE; HUMAN; INCIDENCE; INFORMATION PROCESSING; INTERNET; LABORATORY TEST; LETTER; MASS MEDIUM; NOROVIRUS; PREVALENCE; ROTAVIRUS; SALMONELLA; SEASONAL VARIATION; STAPHYLOCOCCUS AUREUS; STATISTICAL ANALYSIS; SWEDEN; SYMPTOM; VIRUS INFECTION; VIRUS TRANSMISSION; VOMITING; WINTER;

EID: 77956027386     PISSN: 10806040     EISSN: 10806059     Source Type: Journal    
DOI: 10.3201/eid1608.100093     Document Type: Letter
Times cited : (14)

References (10)
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  • 3
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    • Infodemiology: Tracking flu-related searches on the web for syndromic surveillance
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    • Eysenbach, G.1
  • 4
    • 55849100040 scopus 로고    scopus 로고
    • Using Internet searches for influenza surveillance
    • DOI: 10.1086/593098
    • Polgreen PM, Chen Y, Pennock DM, Forrest ND. Using Internet searches for influenza surveillance. Clin Infect Dis. 2008;47:1443-8. DOI: 10.1086/593098
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    • Polgreen, P.M.1    Chen, Y.2    Pennock, D.M.3    Forrest, N.D.4
  • 6
    • 84862897077 scopus 로고    scopus 로고
    • Web queries as a source for syndromic surveillance
    • DOI: 10.1371/journal.pone.0004378
    • Hulth A, Rydevik G, Linde A. Web queries as a source for syndromic surveillance. PLoS One. 2009;4:e4378. DOI: 10.1371/journal.pone.0004378
    • (2009) PLoS One , vol.4
    • Hulth, A.1    Rydevik, G.2    Linde, A.3
  • 7
    • 77449161361 scopus 로고    scopus 로고
    • Interpreting "Google Flu Trends" data for pandemic H1N1 influenza: The New Zealand experience
    • Wilson N, Mason K, Tobias M, Peacey M, Huang QS, Baker M. Interpreting "Google Flu Trends" data for pandemic H1N1 influenza: the New Zealand experience. Euro Surveill 2009;14(44):pii=19386.
    • (2009) Euro Surveill , vol.14 , Issue.44 , pp. 19386
    • Wilson, N.1    Mason, K.2    Tobias, M.3    Peacey, M.4    Huang, Q.S.5    Baker, M.6
  • 8
    • 65349193872 scopus 로고    scopus 로고
    • Early detection of disease outbreaks using the Internet
    • DOI: 10.1503/cmaj.090215
    • Wilson K, Brownstein JS. Early detection of disease outbreaks using the Internet. CMAJ. 2009;180:829-31. DOI: 10.1503/cmaj.090215
    • (2009) CMAJ , vol.180 , pp. 829-831
    • Wilson, K.1    Brownstein, J.S.2
  • 9
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    • Digital disease detection-harnessing the Web for public health surveillance
    • DOI: 10.1056/NEJMp0900702
    • Brownstein JS, Freifeld CC, Madoff LC. Digital disease detection-harnessing the Web for public health surveillance. N Engl J Med. 2009;360:2153-5, 2157. DOI: 10.1056/NEJMp0900702
    • (2009) N Engl J Med , vol.360
    • Brownstein, J.S.1    Freifeld, C.C.2    Madoff, L.C.3
  • 10
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    • Google trends: A web-based tool for real-time surveillance of disease outbreaks
    • Carneiro HA, Mylonakis E. Google trends: a web-based tool for real-time surveillance of disease outbreaks. Clin Infect Dis. 2009;49:1557-64.
    • (2009) Clin Infect Dis , vol.49 , pp. 1557-1564
    • Carneiro, H.A.1    Mylonakis, E.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.