Modeling antibiotic resistance in hospitals: The impact of minimizing treatment duration

被引：118

作者：

D'Agata, Erika M. C. ^{[1
]}

Magal, Pierre ^{[2
]}

Olivier, Damien ^{[3
]}

Ruan, Shigui ^{[4
]}

Webb, Glenn F. ^{[5
]}

机构：

[1] Harvard Univ, Beth Israel Deaconess Med Ctr, Boston, MA 02215 USA

[2] Univ Havre, Dept Math, F-76058 Le Havre, France

[3] Univ Havre, Dept Comp Sci, F-76058 Le Havre, France

[4] Univ Miami, Dept Math, Coral Gables, FL 33124 USA

[5] Vanderbilt Univ, Dept Math, Nashville, TN 37240 USA

来源：

JOURNAL OF THEORETICAL BIOLOGY | 2007年 / 249卷 / 03期

关键词：

antibiotic-resistant bacteria; individual-based model; differential equation model; basic reproduction number;

D O I：

10.1016/j.jtbi.2007.08.011

中图分类号：

Q [生物科学];

学科分类号：

07 ; 0710 ; 09 ;

摘要：

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. (c) 2007 Elsevier Ltd. All rights reserved.

引用

页码：487 / 499

页数：13

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