Using contact network dynamics to implement efficient interventions against pathogen spread in hospital settings: A modelling study.

ABSTRACT:

Background

Long-term care facilities (LTCFs) are hotspots for pathogen transmission. Infection control interventions are essential, but the high density and heterogeneity of interindividual contacts within LTCF may hinder their efficacy. Here, we explore how the patient-staff contact structure may inform effective intervention implementation.

Methods and findings

Using an individual-based model (IBM), we reproduced methicillin-resistant Staphylococcus aureus colonisation transmission dynamics over a detailed contact network recorded within a French LTCF of 327 patients and 263 staff over 3 months. Simulated baseline cumulative colonisation incidence was 21 patients (prediction interval: 11, 31) and 35 staff (prediction interval: 19, 54). We examined the potential impact of 3

SUBMITTER: Leclerc QJ 

PROVIDER: S-EPMC11341093 | biostudies-literature | 2024 Jul

REPOSITORIES: biostudies-literature