Automated detection of hospital outbreaks: A systematic review of methods.

ABSTRACT:

Objectives

Several automated algorithms for epidemiological surveillance in hospitals have been proposed. However, the usefulness of these methods to detect nosocomial outbreaks remains unclear. The goal of this review was to describe outbreak detection algorithms that have been tested within hospitals, consider how they were evaluated, and synthesize their results.

Methods

We developed a search query using keywords associated with hospital outbreak detection and searched the MEDLINE database. To ensure the highest sensitivity, no limitations were initially imposed on publication languages and dates, although we subsequently excluded studies published before 2000. Every study that described a method to detect outbreaks within hospitals was included, without any exclusion bas

SUBMITTER: Leclere B 

PROVIDER: S-EPMC5404859 | biostudies-literature | 2017

REPOSITORIES: biostudies-literature