Automated detection of outbreaks of antimicrobial-resistant bacteria in Japan.

ABSTRACT:

Background

Hospital outbreaks of antimicrobial-resistant (AMR) bacteria should be detected and controlled as early as possible.

Aim

To develop a framework for automatic detection of AMR outbreaks in hospitals.

Methods

Japan Nosocomial Infections Surveillance (JANIS) is one of the largest national AMR surveillance systems in the world. For this study, all bacterial data in the JANIS database were extracted between 2011 and 2016. WHONET, a free software for the management of microbiology data, and SaTScan, a free cluster detection tool embedded in WHONET, were used to analyse 2015-2016 data of eligible hospitals. Manual evaluation and validation of 10 representative hospitals around Japan were then performed using 2011-2016 data.

Findings

Data from 1031 hospitals

SUBMITTER: Tsutsui A 

PROVIDER: S-EPMC6461535 | biostudies-literature | 2019 Jun

REPOSITORIES: biostudies-literature