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MMWR supplements

Showing results (291-300 of 338) with videos related to

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MMWR Supplements|February 18, 2005
How many illnesses does one emergency department visit represent? Using a population-based telephone survey to estimate the syndromic multiplierKristina B Metzger, A Hajat, M Crawford, et al.
MMWR Supplements|February 18, 2005
Evaluation challenges for syndromic surveillance--making incremental progressDaniel M Sosin, J DeThomasis
MMWR Supplements|February 18, 2005
Measuring outbreak-detection performance by using controlled feature set simulationsKenneth D Mandl, B Reis, C Cassa
MMWR Supplements|February 18, 2005
Evaluation of syndromic surveillance systems--design of an epidemic simulation modelDavid L Buckeridge, H Burkom, A Moore, et al.
MMWR Supplements|September 24, 2005
Implementation of laboratory order data in BioSense Early Event Detection and Situation Awareness SystemHaobo Ma, H Rolka, K Mandl, et al.
MMWR Supplements|September 24, 2005
Use of Medicaid prescription data for syndromic surveillance--New YorkJian-Hua Chen, K Schmit, H Chang, et al.
MMWR Supplements|September 24, 2005
Space-time clusters with flexible shapesVijay S Iyengar
MMWR Supplements|September 24, 2005
Simulation for assessing statistical methods of biologic terrorism surveillanceKen P Kleinman, A Abrams, K Mandl, et al.
MMWR Supplements|September 24, 2005
Deciphering data anomalies in BioSenseLeslie Z Sokolow, N Grady, H Rolka, et al.
MMWR Supplements|September 24, 2005
Comparison of syndromic surveillance and a sentinel provider system in detecting an influenza outbreak--Denver, Colorado, 2003Debra P Ritzwoller, K Kleinman, T Palen, et al.
Pageof 34

Showing results (291-300 of 338) with videos related to

Sort By:
Pageof 34
MMWR Supplements|February 18, 2005
How many illnesses does one emergency department visit represent? Using a population-based telephone survey to estimate the syndromic multiplierKristina B Metzger, A Hajat, M Crawford, et al.
MMWR Supplements|February 18, 2005
Evaluation challenges for syndromic surveillance--making incremental progressDaniel M Sosin, J DeThomasis
MMWR Supplements|February 18, 2005
Measuring outbreak-detection performance by using controlled feature set simulationsKenneth D Mandl, B Reis, C Cassa
MMWR Supplements|February 18, 2005
Evaluation of syndromic surveillance systems--design of an epidemic simulation modelDavid L Buckeridge, H Burkom, A Moore, et al.
MMWR Supplements|September 24, 2005
Implementation of laboratory order data in BioSense Early Event Detection and Situation Awareness SystemHaobo Ma, H Rolka, K Mandl, et al.
MMWR Supplements|September 24, 2005
Use of Medicaid prescription data for syndromic surveillance--New YorkJian-Hua Chen, K Schmit, H Chang, et al.
MMWR Supplements|September 24, 2005
Space-time clusters with flexible shapesVijay S Iyengar
MMWR Supplements|September 24, 2005
Simulation for assessing statistical methods of biologic terrorism surveillanceKen P Kleinman, A Abrams, K Mandl, et al.
MMWR Supplements|September 24, 2005
Deciphering data anomalies in BioSenseLeslie Z Sokolow, N Grady, H Rolka, et al.
MMWR Supplements|September 24, 2005
Comparison of syndromic surveillance and a sentinel provider system in detecting an influenza outbreak--Denver, Colorado, 2003Debra P Ritzwoller, K Kleinman, T Palen, et al.
Pageof 34