Comparing early outbreak detection algorithms based on their optimized parameter values
暂无分享,去创建一个
Daniel Dajun Zeng | Xiaoli Wang | Quanyi Wang | He Cheng | Su Li | Holly Seale | Xiangfeng Dou | Xiong He | Rongsheng Luan | Xinghuo Pang | Xiong He | H. Seale | D. Zeng | Quanyi Wang | X. Pang | Xiaoli Wang | X. Dou | Su Li | He Cheng | Rongsheng Luan
[1] L. Jia,et al. [Analysis about epidemic situation of dysentery near upon fourteen years in Beijing]. , 2007, Zhonghua yu fang yi xue za zhi [Chinese journal of preventive medicine].
[2] A Nelson,et al. National Bioterrorism Syndromic Surveillance Demonstration Program. , 2004, MMWR supplements.
[3] M. Kulldorff,et al. A Space–Time Permutation Scan Statistic for Disease Outbreak Detection , 2005, PLoS medicine.
[4] Allyson M. Abrams,et al. A model-adjusted space–time scan statistic with an application to syndromic surveillance , 2005, Epidemiology and Infection.
[5] J Ludbrook,et al. MULTIPLE COMPARISON PROCEDURES UPDATED , 1998, Clinical and experimental pharmacology & physiology.
[6] L C Hutwagner,et al. A simulation model for assessing aberration detection methods used in public health surveillance for systems with limited baselines , 2005, Statistics in medicine.
[7] T. Carpenter. Evaluation and Extension of the Cusum Technique with an Application to Salmonella Surveillance , 2002, Journal of veterinary diagnostic investigation : official publication of the American Association of Veterinary Laboratory Diagnosticians, Inc.
[8] P. Switzer,et al. Evaluating Detection of an Inhalational Anthrax Outbreak , 2006, Emerging infectious diseases.
[9] Kristian Linnet. The exponentially weighted moving average (EWMA) rule compared with traditionally used quality control rules , 2006, Clinical chemistry and laboratory medicine.
[10] R Platt,et al. Simulation for assessing statistical methods of biologic terrorism surveillance. , 2005, MMWR supplements.
[11] William B. Lober,et al. An Open Source Environment For The Statistical Evaluation Of Outbreak Detection Methods , 2005, AMIA.
[12] J. Pavlin,et al. Bio-ALIRT biosurveillance detection algorithm evaluation. , 2004, MMWR supplements.
[13] P. Switzer,et al. An evaluation model for syndromic surveillance: assessing the performance of a temporal algorithm. , 2005, MMWR supplements.
[14] R. E. Watkins,et al. Approaches to the evaluation of outbreak detection methods , 2006, BMC public health.
[15] Jeffrey S. Duchin,et al. A simulation study comparing aberration detection algorithms for syndromic surveillance , 2007, BMC Medical Informatics Decis. Mak..
[16] Andrew W. Moore,et al. Algorithms for rapid outbreak detection: a research synthesis , 2005, J. Biomed. Informatics.
[17] Ronald D Fricker,et al. Comparing syndromic surveillance detection methods: EARS' versus a CUSUM‐based methodology , 2008, Statistics in medicine.
[18] Z. Bhutta,et al. A Multicentre Study of Shigella Diarrhoea in Six Asian Countries: Disease Burden, Clinical Manifestations, and Microbiology , 2006, PLoS medicine.
[19] Nokuthaba Sibanda,et al. The CUSUM chart method as a tool for continuous monitoring of clinical outcomes using routinely collected data , 2007, BMC medical research methodology.
[20] A. Moore,et al. Wsare: What’s strange about recent events? , 2003, Journal of Urban Health.
[21] J. Peiris,et al. Effectiveness of precautions against droplets and contact in prevention of nosocomial transmission of severe acute respiratory syndrome (SARS) , 2003, The Lancet.
[22] Lori Hutwagner,et al. Comparing Aberration Detection Methods with Simulated Data , 2005, Emerging infectious diseases.
[23] K Kleinman,et al. Ambulatory-care diagnoses as potential indicators of outbreaks of gastrointestinal illness--Minnesota. , 2005, MMWR supplements.
[24] L. Hutwagner,et al. The bioterrorism preparedness and response Early Aberration Reporting System (EARS) , 2003, Journal of Urban Health.
[25] Farzad Mostashari,et al. Evaluation of school absenteeism data for early outbreak detection, New York City , 2005, BMC public health.
[26] Kenneth D Mandl,et al. Measuring outbreak-detection performance by using controlled feature set simulations. , 2004, MMWR supplements.
[27] Kenneth D. Mandl,et al. Time series modeling for syndromic surveillance , 2003, BMC Medical Informatics Decis. Mak..
[28] Y. Elbert,et al. Disease outbreak detection system using syndromic data in the greater Washington DC area. , 2002, American journal of preventive medicine.
[29] Melanie C Besculides Richard Heffernan Farzad Mostashari J Weissman. Evaluation of School Absenteeism Data for Early Outbreak Detection New York City 20012002 , 2004 .
[30] Kenneth D. Mandl,et al. A software tool for creating simulated outbreaks to benchmark surveillance systems , 2005, BMC Medical Informatics Decis. Mak..
[31] Li-Ping Wang,et al. Conceptual model for automatic early warning information system of infectious diseases based on internet reporting surveillance system. , 2007, Biomedical and environmental sciences : BES.
[32] J C Benneyan,et al. Statistical Quality Control Methods in Infection Control and Hospital Epidemiology, Part I Introduction and Basic Theory , 1998, Infection Control & Hospital Epidemiology.
[33] W. F. Athas,et al. Evaluating cluster alarms: a space-time scan statistic and brain cancer in Los Alamos, New Mexico. , 1998, American journal of public health.