Simulation models for transmission of health care-associated infection: A systematic review.

ABSTRACT:

Background

Health care-associated infections (HAIs) are a global health burden because of their significant impact on patient health and health care systems. Mechanistic simulation modeling that captures the dynamics between patients, pathogens, and the environment is increasingly being used to improve understanding of epidemiological patterns of HAIs and to facilitate decisions on infection prevention and control (IPC). The purpose of this review is to present a systematic review to establish (1) how simulation models have been used to investigate HAIs and their mitigation and (2) how these models have evolved over time, as well as identify (3) gaps in their adoption and (4) useful directions for their future development.

Methods

The review involved a systematic search and

SUBMITTER: Nguyen LKN 

PROVIDER: S-EPMC7161411 | biostudies-literature | 2020 Jul

REPOSITORIES: biostudies-literature