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How to Select and Interpret Molecular Strain Typing Methods for Epidemiological Studies of Bacterial Infections A Review for Healthcare Epidemiologists

Tenover, Fred C., Arbeit, Robert D., Goering, Richard V., Molecular Typing Working Group of the Society for Healthcare Epidemiology of America·1997·Infection Control & Hospital Epidemiology

Abstract

Strain typing is an integral part of epidemiological investigations of nosocomial infections. Methods for distinguishing among bacterial strains have improved dramatically over the last 5 years, due mainly to the introduction of molecular technology. Although not all molecular techniques are equally effective for typing all organisms, pulsed-field gel electrophoresis is the technique currently favored for most nosocomial pathogens. Criteria to aid epidemiologists in interpreting results have been published. Nucleic acid amplification-based typing methods also are applicable to many organisms and can be completed within a single day, but interpretive criteria still are under debate. Strain typing cannot be used to replace a sound epidemiological investigation, but serves as a useful adjunct to such investigations.

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Metadata

Authors
Tenover, F. C., Arbeit, R. D., Goering, R. V., & Molecular Typing Working Group of the Society for Healthcare Epidemiology of America
Venue
Infection Control & Hospital Epidemiology
Published
1997-06
Volume
18
Issue
6
Pages
426-439
ISSN
  • 0899-823X (ISSN-L)
  • 1559-6834
OpenAlex
W2123161622
Cited by
588
References
0
FWCI
15.26
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: How to Select and Interpret Molecular Strain Typing Methods for Epidemiological Studies of Bacterial Infections A Review for Healthcare Epidemiologists. https://app.cochat.ai/papers/10.1086/647644
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Tenover, F. C., Arbeit, R. D., Goering, R. V., & Molecular Typing Working Group of the Society for Healthcare Epidemiology of America. (1997). How to Select and Interpret Molecular Strain Typing Methods for Epidemiological Studies of Bacterial Infections A Review for Healthcare Epidemiologists. Infection Control & Hospital Epidemiology. https://doi.org/10.1086/647644

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Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.