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Volumn 27, Issue 17, 2008, Pages 3407-3429

Comparing syndromic surveillance detection methods: EARS' versus a CUSUM-based methodology

Author keywords

Biosurveillance; CUSUM; Early aberration reporting system; Syndromic surveillance

Indexed keywords

ANALYTICAL ERROR; ARTICLE; CONTROLLED STUDY; CUMULATIVE SUMMATION; DISEASE SURVEILLANCE; EARLY ABERRATION REPORTING SYSTEM; INCIDENCE; INTERMETHOD COMPARISON; PREDICTION; REGRESSION ANALYSIS; SIMULATION; STATISTICAL CONCEPTS;

EID: 47349124285     PISSN: 02776715     EISSN: 10970258     Source Type: Journal    
DOI: 10.1002/sim.3197     Document Type: Article
Times cited : (97)

References (38)
  • 2
    • 48249091828 scopus 로고    scopus 로고
    • International Foundation For Functional Gastrointestinal Disorders, accessed on 21 November 2006
    • International Foundation For Functional Gastrointestinal Disorders. www.iffgd.org/GIDisorders/glossary.html. (accessed on 21 November 2006.)
  • 3
    • 38349164272 scopus 로고    scopus 로고
    • Centers for Disease Control and Prevention, 23 October 2003, Available from:, accessed on 21 November 2006
    • Centers for Disease Control and Prevention. Syndrome Definitions for Diseases Associated with Critical Bioterrorism-associated Agents. Centers for Disease Control and Prevention, 23 October 2003. (Available from: http://www.bt.cdc.gov/surveillance/syndromedef/, accessed on 21 November 2006.)
    • Syndrome Definitions for Diseases Associated with Critical Bioterrorism-associated Agents
  • 4
    • 13844255673 scopus 로고    scopus 로고
    • Overview of syndromic surveillance: What is syndromic surveillance? Morbidity and Mortality Weekly Report
    • Supplement, Centers for Disease Control and Prevention, Available from
    • Henning KJ. Overview of syndromic surveillance: what is syndromic surveillance? Morbidity and Mortality Weekly Report, vol. 53 (Supplement). Centers for Disease Control and Prevention, 2004; 5-11. (Available from: www.cdc.gov/mmwr/preview/mmwrhtml/su5301a3.htm.)
    • (2004) , vol.53 , pp. 5-11
    • Henning, K.J.1
  • 6
    • 46349102577 scopus 로고    scopus 로고
    • Directionally sensitive multivariate statistical process control methods with application to syndromic surveillance
    • Available from: www.isdsjournal.org
    • Fricker Jr RD. Directionally sensitive multivariate statistical process control methods with application to syndromic surveillance. Advances in Disease Surveillance 2007; 3:1. (Available from: www.isdsjournal.org.)
    • (2007) Advances in Disease Surveillance , vol.3 , pp. 1
    • Fricker Jr, R.D.1
  • 7
    • 34548058199 scopus 로고    scopus 로고
    • Protecting against biological terrorism: Statistical issues in electronic biosurveillance
    • Fricker Jr RD, Rolka H. Protecting against biological terrorism: statistical issues in electronic biosurveillance. Chance 2006; 91:4-13.
    • (2006) Chance , vol.91 , pp. 4-13
    • Fricker Jr, R.D.1    Rolka, H.2
  • 9
    • 48249156741 scopus 로고    scopus 로고
    • Early Aberration Reporting System
    • Centers for Disease Control and Surveillance, Available from:, accessed on 30 April 2007
    • Centers for Disease Control and Surveillance. Early Aberration Reporting System. Centers for Disease Control and Surveillance, 2007. (Available from: www.bt.cdc.gov/surveillance/ears, accessed on 30 April 2007)
    • (2007) Centers for Disease Control and Surveillance
  • 10
    • 48249157500 scopus 로고    scopus 로고
    • BioSense
    • Centers for Disease Control and Surveillance, Available from:, accessed on 30 April 2007
    • Centers for Disease Control and Surveillance. BioSense. Centers for Disease Control and Surveillance, 2007. (Available from: www.cdc.gov/ biosense, accessed on 30 April 2007.).
    • (2007) Centers for Disease Control and Surveillance
  • 11
    • 34548637081 scopus 로고    scopus 로고
    • Automated time series forecasting for biosurveillance
    • Burkom HS, Murphy SP, Shmueli G. Automated time series forecasting for biosurveillance. Statistics in Medicine 2007; 26(22):4202-4218.
    • (2007) Statistics in Medicine , vol.26 , Issue.22 , pp. 4202-4218
    • Burkom, H.S.1    Murphy, S.P.2    Shmueli, G.3
  • 12
    • 48249138266 scopus 로고    scopus 로고
    • Statistical challenges in modern biosurveillance
    • submitted
    • Shmueli G. Statistical challenges in modern biosurveillance. Technometrics 2006; submitted.
    • (2006) Technometrics
    • Shmueli, G.1
  • 13
    • 33645762514 scopus 로고    scopus 로고
    • The use of control charts in health-care and public-health surveillance
    • Woodall WH. The use of control charts in health-care and public-health surveillance. Journal of Quality Technology 2006; 38:1-16.
    • (2006) Journal of Quality Technology , vol.38 , pp. 1-16
    • Woodall, W.H.1
  • 15
    • 25444436713 scopus 로고    scopus 로고
    • Zhu Y, Wang W, Atrubin D, Wu Y. Initial evaluation of the early aberration reporting system - Florida. Morbidity and Mortality Weekly Report, 54 (Supplement). Centers for Disease Control and Prevention, 2005; 123-130.
    • Zhu Y, Wang W, Atrubin D, Wu Y. Initial evaluation of the early aberration reporting system - Florida. Morbidity and Mortality Weekly Report, vol. 54 (Supplement). Centers for Disease Control and Prevention, 2005; 123-130.
  • 17
    • 48249142197 scopus 로고    scopus 로고
    • Montgomery DC. Introduction to Statistical Quality Control (4th edo). Wiley: New York, 2001.
    • Montgomery DC. Introduction to Statistical Quality Control (4th edo). Wiley: New York, 2001.
  • 18
    • 48249147162 scopus 로고    scopus 로고
    • Centers for Disease Control and Surveillance, Centers for Disease Control and Surveillance, September
    • Centers for Disease Control and Surveillance. BioSense Bulletin. Centers for Disease Control and Surveillance, September 2006.
    • (2006) BioSense Bulletin
  • 19
    • 0002916530 scopus 로고
    • Continuous inspection schemes
    • Page ES. Continuous inspection schemes. Biometrika 1954; 41:100-115.
    • (1954) Biometrika , vol.41 , pp. 100-115
    • Page, E.S.1
  • 20
    • 0001524507 scopus 로고
    • Procedures for reacting to a change in distribution
    • Lorden G. Procedures for reacting to a change in distribution. Annals of Mathematical Statistics 1971; 42: 1897-1908.
    • (1971) Annals of Mathematical Statistics , vol.42 , pp. 1897-1908
    • Lorden, G.1
  • 22
    • 0000317248 scopus 로고
    • Optimal stopping times for detecting a change in distribution
    • Moustakides GV. Optimal stopping times for detecting a change in distribution. Annals of Statistics 1986; 14:1379-1388.
    • (1986) Annals of Statistics , vol.14 , pp. 1379-1388
    • Moustakides, G.V.1
  • 23
    • 0001031433 scopus 로고
    • Decision theoretic optimality of the CUSUM procedure
    • Ritov Y. Decision theoretic optimality of the CUSUM procedure. Annals of Statistics 1990; 18:1464-1469.
    • (1990) Annals of Statistics , vol.18 , pp. 1464-1469
    • Ritov, Y.1
  • 28
    • 48249112368 scopus 로고    scopus 로고
    • Personal communication. 12 December
    • Hutwagner L. Personal communication. 12 December 2006.
    • (2006)
    • Hutwagner, L.1
  • 29
    • 48249106024 scopus 로고    scopus 로고
    • Comparing directionally sensitive MCUSUM and MEWMA procedures with application to biosurveillance
    • submitted
    • Fricker Jr RD, Knitt MC, Hu CX. Comparing directionally sensitive MCUSUM and MEWMA procedures with application to biosurveillance. Quality Engineering 2007; submitted.
    • (2007) Quality Engineering
    • Fricker Jr, R.D.1    Knitt, M.C.2    Hu, C.X.3
  • 31
    • 25444483364 scopus 로고    scopus 로고
    • Simulation for assessing statistical methods of biologic terrorism surveillance
    • Supplement, 2005, Accessed from:, accessed on 12 May
    • Kleinman KP, Abrams A, Mandl KD, Platt R. Simulation for assessing statistical methods of biologic terrorism surveillance. Morbidity and Mortality Weekly Report, vol. 54 (Supplement). Centers for Disease Control and Prevention, 2005. (Accessed from: http://dacppages.pbwiki.com/f/mmwr2005.pdf, accessed on 12 May 2007.)
    • (2007) Morbidity and Mortality Weekly Report , vol.54
    • Kleinman, K.P.1    Abrams, A.2    Mandl, K.D.3    Platt, R.4
  • 33
    • 48249157149 scopus 로고    scopus 로고
    • Recurrence interval and time-to-signal properties of surveillance schemes
    • Fraker SE, Woodall WH, Mousavi S. Recurrence interval and time-to-signal properties of surveillance schemes. Quality Engineering 2007.
    • (2007) Quality Engineering
    • Fraker, S.E.1    Woodall, W.H.2    Mousavi, S.3
  • 34
    • 0016473197 scopus 로고
    • Approximations to the average run length in cumulative sum control charts
    • Reynolds Jr MR. Approximations to the average run length in cumulative sum control charts. Technometrics 1975; 17:65-71.
    • (1975) Technometrics , vol.17 , pp. 65-71
    • Reynolds Jr, M.R.1
  • 37
    • 0032673007 scopus 로고    scopus 로고
    • Detecting when a monotonically increasing mean has crossed a threshold
    • Chang JT, Fricker Jr RD. Detecting when a monotonically increasing mean has crossed a threshold. Journal of Quality Technology 1999; 31:217-233.
    • (1999) Journal of Quality Technology , vol.31 , pp. 217-233
    • Chang, J.T.1    Fricker Jr, R.D.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.