论文信息 - Comparing Aberration Detection Methods with Simulated Data

Comparing Aberration Detection Methods with Simulated Data

We compared aberration detection methods requiring historical data to those that require little background by using simulated data. Methods that require less historical data are as sensitive and specific as those that require 3–5 years of data. These simulations can determine which method produces appropriate sensitivity and specificity.

[1] L. Stern,et al. Automated outbreak detection: a quantitative retrospective analysis , 1999, Epidemiology and Infection.

[2] Nick Andrews,et al. A Statistical Algorithm for the Early Detection of Outbreaks of Infectious Disease , 1996 .

[3] D F Stroup,et al. Detection of aberrations in the occurrence of notifiable diseases surveillance data. , 1989, Statistics in medicine.

[4] L. Hutwagner,et al. The bioterrorism preparedness and response Early Aberration Reporting System (EARS) , 2003, Journal of Urban Health.

[5] Lone Simonsen,et al. A Method for Timely Assessment of Influenza‐Associated Mortality in the United States , 1997, Epidemiology.

[6] L. Hutwagner,et al. Using laboratory-based surveillance data for prevention: an algorithm for detecting Salmonella outbreaks. , 1997, Emerging infectious diseases.