An Economic Analysis of Strategies to Control Clostridium Difficile Transmission and Infection Using an Agent-Based Simulation Model

Nelson, Richard E; Jones, Makoto; Leecaster, Molly; Samore, Matthew H; Ray, William; Csaki Huttner, Angela; Huttner, Benedikt; Khader, Karim; Stevens, Vanessa W; Gerding, Dale; Schweizer, Marin L; Rubin, Michael A

doi:10.1371/journal.pone.0152248

Scientific article

Open access

English

An Economic Analysis of Strategies to Control Clostridium Difficile Transmission and Infection Using an Agent-Based Simulation Model

ContributorsNelson, Richard E; Jones, Makoto; Leecaster, Molly; Samore, Matthew H; Ray, William; Csaki Huttner, Angela; Huttner, Benedikt

; Khader, Karim; Stevens, Vanessa W; Gerding, Dale; Schweizer, Marin L; Rubin, Michael A

Published inPloS one, vol. 11, no. 3, e0152248

Publication date2016

Abstract

A number of strategies exist to reduce Clostridium difficile (C. difficile) transmission. We conducted an economic evaluation of "bundling" these strategies together.

Keywords

Clostridium difficile/isolation & purification
Computer Simulation
Cost-Benefit Analysis
Cross Infection/diagnosis/prevention & control/transmission
Enterocolitis, Pseudomembranous/diagnosis/prevention & control/transmission
Hand Hygiene/economics/methods
Hospitals
Humans
Infection Control/economics/methods
Models, Economic
Soaps/economics/therapeutic use

Affiliation

Faculté de médecine / Section de médecine clinique / Département de médecine

Research group

Epidémiologie et contrôle de la résistance aux antibiotiques (866)

Citation (ISO format)

NELSON, Richard E et al. An Economic Analysis of Strategies to Control Clostridium Difficile Transmission and Infection Using an Agent-Based Simulation Model. In: PloS one, 2016, vol. 11, n° 3, p. e0152248. doi: 10.1371/journal.pone.0152248

Article (Published version)

CC BY

Identifiers

PID : unige:87642
DOI : 10.1371/journal.pone.0152248
PMID : 27031464

ISSN of the journal1932-6203

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An Economic Analysis of Strategies to Control Clostridium Difficile Transmission and Infection Using an Agent-Based Simulation Model

A number of strategies exist to reduce Clostridium difficile (C. difficile) transmission. We conducted an economic evaluation of "bundling" these strategies together.

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