Gamma Regressive Individuals Control Charts for Influenza Activity

REFERENCES

• Alwan , L. , Roberts , H. ( 1988 ). Time-series modeling for statistical process control . Journal of Business and Economic Statistics , 6 ( 1 ): 87 – 95 .
   Web of Science ®Google Scholar
• Bravata , D. M. , Sundaram , V. , McDonald , K. M. , Smith , W. M. , Szeto , H. , Schleinitz , M. D. , Owens , D. K. ( 2004 ). Evaluating detection and diagnostic decision support systems for bioterrorism response . Emerging Infectious Diseases , 10 ( 1 ): 100 – 108 .
   PubMedGoogle Scholar
• Buckeridge , D. L. , Burkom , H. , Campbell , M. , Hogan , W. R. , Moore , A. W. ( 2005 ). Algorithms for rapid outbreak detection . Journal of Biomedical Informatics , 38 : 99 – 113 .
   PubMed Web of Science ®Google Scholar
• Buehler , J. W. , Hopkins , R. S. , Overhage , J. M. , Sosin , D. M. , Tong , V. ( 2004 ). Framework for evaluating public health surveillance systems for early detection of outbreaks . MMWR Recommendations and Reports , 53 ( RR-5 ): 1 – 11 .
   PubMedGoogle Scholar
• Cowling , B. J. , Wang , I. O. L. , Ho , L.-M. , Riley , S. , Leung , G. M. ( 2006 ). Methods for monitoring influenza surveillance data . International Journal of Epidemiology , 35 : 1314 – 1321 .
   PubMed Web of Science ®Google Scholar
• Craft , D. L. , Wein , L. M. , Wilkins , A. H. ( 2005 ). Analyzing bioterror response logistics . Management Science , 51 ( 5 ): 679 – 694 .
   Web of Science ®Google Scholar
• Dafni , U. G. , Tsoidras , S. , Panagiotakos , D. , Gkolfinopoulou , K. , Kouvatseas , G. , Tsourti , Z. , Saroglou , G. ( 2004 ). Algorithm for statistical detection of peaks . MMWR , 53 ( suppl. ): 86 – 94 .
   Google Scholar
• Fienberg , S. E. , Shmueli , G. ( 2005 ). Statistical issues and challenges associated with rapid detection of bio-terrorism attacks . Statistics in Medicine , 24 : 513 – 529 .
   PubMed Web of Science ®Google Scholar
• Germann , T. C. , Kadau , K. , Longini , I. M. , Jr. , Macken , C. A. ( 2006 ). Mitigation strategies for pandemic influenza in the United States . PNAS , 103 ( 15 ): 5935 – 5940 .
   PubMed Web of Science ®Google Scholar
• Goldenberg , A. , Shmueli , G. , Caruana , R. A. , Fienberg , S. E. (2002). Early statistical detection of anthrax outbreaks by tracking over-the-counter medication sales. PNAS , 99(8):5237–5240.
   PubMed Web of Science ®Google Scholar
• Hall , I. , Gani , R. , Hughes , H. , Leach , S. ( 2006 ). Real-time epidemic forecasting for pandemic influenza . Epidemiology and Infection , 135 ( 3 ): 372 – 385 .
   PubMedGoogle Scholar
• Hardin , J. W. , Hilbe , J. M. ( 2001 ). Generalized Linear Models and Extensions . College Station TX : Stata Press .
   Google Scholar
• Hutwagner , L. , Browne , T. , Seeman , G. M. , Fleischauer , A. T. ( 2005 ). Comparing aberration detection methods with simulated data . Emerging Infectious Diseases , 11 ( 2 ): 314 – 316 .
   PubMed Web of Science ®Google Scholar
• Jearkpaporn , D. , Montgomery , D. C. , Runger , G. C. , Borror , C. M. ( 2003 ). Process monitoring for correlated gamma-distributed data using generalized-liner-model-based control charts . Quality and Reliability Engineering International , 19 : 477 – 491 .
   Web of Science ®Google Scholar
• Kleinman , K. , Lazarus , R. , Platt , R. ( 2004 ). A generalized linear mixed models approach for detecting incident clusters of disease in small areas . American Journal of Epidemiology , 159 ( 3 ): 217 – 224 .
   PubMed Web of Science ®Google Scholar
• Lawson , A. B. , Kleinman , K. ( 2005 ). Spatial and Syndromic Surveillance for Public Health . W Sussex , England : John Wiley & Sons .
   Google Scholar
• Lindsey , J. K. ( 1997 ). Applying Generalized Linear Models . New York : Springer .
   Google Scholar
• Loredo , E. , Jearkpaporn , D. , Borror , C. ( 2002 ). Model-based control chart for autoregressive and correlated data . Quality and Reliability Engineering International , 18 : 489 – 496 .
   Web of Science ®Google Scholar
• Miller , B. , Kassenborg , H. , Dunsmuir , W. , Griffith , J. , Hadidi , M. , Nordin , J. D. , Danila , R. ( 2004 ). Syndromic surveillance for influenza like illness in an ambulatory care network . Emerging Infectious Diseases , 10 ( 10 ): 1806 – 1811 .
   PubMed Web of Science ®Google Scholar
• Montgomery , D. C. ( 2005 ). Introduction to Statistical Quality Control, , 5th ed. Hoboken , NJ : Wiley .
   Google Scholar
• Morse , S. A. , Kellogg , R. B. , Perry , S. , Meyer , R. F. , Bray , D. , Nichelson , D. , Miller , J. M. ( 2003 ). Detecting biothreat agents . ASM News , 69 ( 9 ): 433 – 437 .
   Google Scholar
• Paladini , M. ( 2004 ). Daily emergency department surveillance system . MMWR , 53 ( suppl. ): 47 – 49 .
   Google Scholar
• Reis , B. Y. , Mandl , K. D. ( 2003 ). Time series modeling for syndromic surveillance . BMC Medical Informatics and Decision Making , 3 ( 2 ).
   PubMedGoogle Scholar
• Rogerson , P. A. , Yamada , I. ( 2004 ). Approaches to syndromic surveillance when data consist of small regional counts . MMWR , 53 ( suppl. ): 79 – 85 .
   Google Scholar
• Skinner , K. R. , Montgomery , D. C. , Runger , G. C. ( 2003 ). Process monitoring for multiple count data using generalized linear model-based control charts . International Journal of Production Research , 41 ( 6 ): 1167 – 1180 .
   Web of Science ®Google Scholar
• Sonesson , C. , Bock , D. ( 2003 ). A review and discussion of prospective statistical surveillance in public health . Journal of the Royal Statistical Society Series A , 166 ( 1 ): 5 – 21 .
   Web of Science ®Google Scholar
• StataCorp. 2005 . Stata Statistical Software , Release 9 . College Station , TX : StataCorp LP .
   Google Scholar
• Valleron , A.-J. , Vidal , J. J. ( 2002 ). Timely redistribution of information for epidemiological surveillance and alert . Proceedings of the AMIA 2002 Annual Symposium , 830 – 834 .
   Google Scholar
• Wagner , M. , Pavlin , J. , Brillman , J. C. , Stetson , D. , Magruder , S. , Campbell , M. ( 2004 ). Synthesis of Research on the Value of Unconventional Data for Early Detection of Disease Outbreaks . DARPA Bio-ALIRT Program final report .
   Google Scholar
• Widdowson , M.-A. , Bosman , A. , van Straten , E. , Tinga , M. , Chaves , S. , van Eerden , L. , van Pelt , W. ( 2003 ). Automated, laboratory-based system using the internet for disease outbreak detection . Emerging Infectious Diseases , 9 ( 9 ): 1046 – 1052 .
   PubMedGoogle Scholar
• Williamson , G. D. , Hudson , G. W. ( 1999 ). A monitoring system for detecting aberrations in public health surveillance reports . Statistics in Medicine , 18 : 3283 – 3298 .
   PubMed Web of Science ®Google Scholar
• Woodall , W. H. ( 2006 ). The use of control charts in health-care and public-health surveillance . Journal of Quality Technology , 38 ( 2 ): 89 – 104 .
   Web of Science ®Google Scholar
• Yih , W. K. , Caldwell , B. , Harmon , R. , Kleinman , K. , Lazarus , R. , Nelson , A. , Nordin , J. , Rehm , B. , Richter , B. , Ritzwoller , D. , Sherwood , E. , Platt , R. ( 2004 ). National bioterrorism syndromic surveillance demonstration program . MMWR , 53 ( suppl. ): 43 – 46 .
   Google Scholar
• Zhang , X. , Fiedler , R. , Popovich , M. ( 2004 ). A biointelligence system for identifying potential disease outbreaks . IEEE Engineering in Medicine and Biology Magazine , 23 ( 1 ): 58 – 64 .
   PubMedGoogle Scholar