CTCmodeler: An Agent-Based Framework to Simulate Pathogen Transmission Along an Inter-individual Contact Network in a Hospital - Archive ouverte HAL Access content directly
Conference Papers Year : 2019

CTCmodeler: An Agent-Based Framework to Simulate Pathogen Transmission Along an Inter-individual Contact Network in a Hospital

(1) , (1) , (1) , (1) , (2, 3)
1
2
3

Abstract

Over the last decade, computational modeling has proved a useful tool to simulate the transmission dynamics of nosocomial pathogens and can be used to predict optimal control measures in healthcare settings. Nosocomial infections are a major public health issue especially since the increase of antimicrobial resistance. Here, we present CTCmodeler, a framework that incorporates an agent-based model to simulate pathogen transmission through inter-individual contact in a hospital setting. CTCmodeler uses real admission, swab and contact data to deduce its own parameters, simulate inter-individual pathogen transmission across hospital wards and produce weekly incidence estimates. Most previous hospital models have not accounted for individual heterogeneity of contact patterns. By contrast, CTCmodeler explicitly captures temporal heterogeneous individual contact dynamics by modelling close-proximity interactions over time. Here, we illustrate the use of CTCmodeler to simulate methicillin-resistant Staphylococcus aureus dissemination in a French long-term care hospital, using longitudinal data on sensor-recorded contacts and weekly swabs from the i-Bird study.
Not file

Dates and versions

hal-02333356 , version 1 (25-10-2019)

Identifiers

Cite

Audrey Duval, David Smith, Didier Guillemot, Lulla Opatowski, Laura Temime. CTCmodeler: An Agent-Based Framework to Simulate Pathogen Transmission Along an Inter-individual Contact Network in a Hospital. Computational Science – ICCS 2019, Jun 2019, Faro, Portugal. pp.477-487, ⟨10.1007/978-3-030-22741-8_34⟩. ⟨hal-02333356⟩
91 View
0 Download

Altmetric

Share

Gmail Facebook Twitter LinkedIn More