Journal Article

Understanding the Spread of Antibiotic Resistant Pathogens in Hospitals: Mathematical Models as Tools for Control

Robert A. Weinstein, Marc J. M. Bonten, Daren J. Austin and Marc Lipsitch

in Clinical Infectious Diseases

Published on behalf of Infectious Diseases Society of America

Volume 33, issue 10, pages 1739-1746
Published in print November 2001 | ISSN: 1058-4838
Published online November 2001 | e-ISSN: 1537-6591 | DOI: http://dx.doi.org/10.1086/323761
Understanding the Spread of Antibiotic Resistant Pathogens in Hospitals: Mathematical Models as Tools for Control

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As microorganisms become more resistant to antimicrobial agents, effective infection control measures will become increasingly important. However, despite multiple studies on infection prevention, few data exist on the quantitative effects of the individual aspects of infection control strategies. The combination of epidemiologic surveillance, molecular genotyping, observational studies on compliance, and mathematical modeling may improve our ability to determine the quantitative effects of individual infection control measures. This may help to design more effective infection control programs. In this study, we review several of the models that have been published and speculate on the usefulness of mathematical modeling for improving the prevention of infection.

Journal Article.  5185 words.  Illustrated.

Subjects: Infectious Diseases ; Immunology ; Public Health and Epidemiology ; Microbiology

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