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J Theor Biol. 2007 Dec 7;249(3):487-99. Epub 2007 Aug 25.

Modeling antibiotic resistance in hospitals: the impact of minimizing treatment duration.

Author information

1
Beth Israel Deaconess Medical Center, Harvard University, Boston, MA 02215, USA. edagata@bidmc.harvard.edu

Abstract

Infections caused by antibiotic-resistant pathogens are a global public health problem. Numerous individual- and population-level factors contribute to the emergence and spread of these pathogens. An individual-based model (IBM), formulated as a system of stochastically determined events, was developed to describe the complexities of the transmission dynamics of antibiotic-resistant bacteria. To simplify the interpretation and application of the model's conclusions, a corresponding deterministic model was created, which describes the average behavior of the IBM over a large number of simulations. The integration of these two model systems provides a quantitative analysis of the emergence and spread of antibiotic-resistant bacteria, and demonstrates that early initiation of treatment and minimization of its duration mitigates antibiotic resistance epidemics in hospitals.

PMID:
17905310
PMCID:
PMC2432019
DOI:
10.1016/j.jtbi.2007.08.011
[Indexed for MEDLINE]
Free PMC Article
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