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Volumn 6, Issue , 2006, Pages

Accounting for seasonal patterns in syndromic surveillance data for outbreak detection

Author keywords

[No Author keywords available]

Indexed keywords

ARTICLE; DISEASE SURVEILLANCE; EMERGENCY WARD; EPIDEMIC; FORECASTING; RESPIRATORY TRACT DISEASE; SEASONAL VARIATION; SIMULATION; COMPUTER SIMULATION; EMERGENCY HEALTH SERVICE; HEALTH SURVEY; HUMAN; INFORMATION PROCESSING; PATHOLOGY; PREDICTIVE VALUE; PROCEDURES; RESPIRATION DISORDERS; RISK ASSESSMENT; SEASON; STATISTICAL ANALYSIS; STATISTICAL MODEL; SYNDROME; UNITED STATES; UNIVERSITY HOSPITAL; UTILIZATION;

EID: 33845538991     PISSN: None     EISSN: 14726947     Source Type: Journal    
DOI: 10.1186/1472-6947-6-40     Document Type: Article
Times cited : (16)

References (16)
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    • Buehler J: Review of the 2003 national syndromic surveillance conference - lessons learned and questions to be answered in: syndromic surveillance: reports from a national conference. Morbidity and Mortality Weekly Report 2003, 53(Suppl):18-22.
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    • Buehler, J.1
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    • A Simulation model for assessing aberration detection methods used in public health surveillance for systems with limited baselines
    • Hutwagner L, Thompson W, Seeman G, Treadwell T: A Simulation model for assessing aberration detection methods used in public health surveillance for systems with limited baselines. Statistics in Medicine 2005, 24:543-550.
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    • Hutwagner, L.1    Thompson, W.2    Seeman, G.3    Treadwell, T.4
  • 6
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    • Modeling emergency department visit patterns for infectious disease complaints: Results and application to disease surveillance
    • doi:10.1186/1472-6947-5-4
    • Brillman J, Burr T, Forslund D, Joyce E, Picard R, Umland E: Modeling emergency department visit patterns for infectious disease complaints: results and application to disease surveillance. BioMedCentral Medical Informatics and Decision Making 2005, 5(4):. doi:10.1186/1472-6947-5-4
    • (2005) BioMedCentral Medical Informatics and Decision Making , vol.5 , Issue.4
    • Brillman, J.1    Burr, T.2    Forslund, D.3    Joyce, E.4    Picard, R.5    Umland, E.6
  • 7
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    • A Generalized linear mixed models approach for detecting incident clusters of disease in small areas, with an application to biological terrorism
    • Kleinman K, Lazarus R, Platt R: A Generalized linear mixed models approach for detecting incident clusters of disease in small areas, with an application to biological terrorism. American Journal of Epidemiology 2004, 159(3):217-224.
    • (2004) American Journal of Epidemiology , vol.159 , Issue.3 , pp. 217-224
    • Kleinman, K.1    Lazarus, R.2    Platt, R.3
  • 8
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    • BioSense: Implementation of a national early event detection and situational awareness system
    • Bradley C, Rolka H, Walker D, Loonsk J, BioSense: Implementation of a national early event detection and situational awareness system. Morbidity and Mortality Weekly Report 2004, R54(Suppl):11-19.
    • (2004) Morbidity and Mortality Weekly Report , vol.54 , Issue.SUPPL. , pp. 11-19
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  • 9
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    • The Use of control charts in health-care and public-health surveillance
    • Woodall W: The Use of control charts in health-care and public-health surveillance. Journal of Quality Technology 2006, 38(289-134 [http://www.asq.org/pub/jqt/past/vol38_issue2/index.html].
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    • Prospective time periodic geographical disease surveillance using a scan statistic
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* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.