Work

Comparing Aberration Detection Methods with Simulated Data

Year: 2005

Type: article

Abstract: 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.

Source: Emerging infectious diseases

DOI: 10.3201/eid1102.040587

Authors: Lori Hutwagner, Timothy Browne, G. Matthew Seeman, Aaron T. Fleischauer

Institution: Centers for Disease Control and Prevention

Language: English

Topic: Data-Driven Disease Surveillance

Subfield: Epidemiology

Field: Medicine

Domain: Health Sciences

SDG: Good health and well-being

Open Access status: diamond

OpenAlex ID: W2081469005