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Cited by 635

The DOI matches its Crossref record; 1 of the 1 references it cites were found in a registry or an index.

Contamination, Disinfection, and Cross-Colonization: Are Hospital Surfaces Reservoirs for Nosocomial Infection?

Open access
Weinstein, R. A., Hota, B.·2004·Clinical Infectious Diseases

Abstract

Despite documentation that the inanimate hospital environment (e.g., surfaces and medical equipment) becomes contaminated with nosocomial pathogens, the data that suggest that contaminated fomites lead to nosocomial infections do so indirectly. Pathogens for which there is more-compelling evidence of survival in environmental reservoirs include Clostridium difficile, vancomycin-resistant enterococci, and methicillin-resistant Staphylococcus aureus, and pathogens for which there is evidence of probable survival in environmental reservoirs include norovirus, influenza virus, severe acute respiratory syndrome-associated coronavirus, and Candida species. Strategies to reduce the rates of nosocomial infection with these pathogens should conform to established guidelines, with an emphasis on thorough environmental cleaning and use of Environmental Protection Agency-approved detergent-disinfectants.

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Metadata

Authors
Weinstein, R. A., & Hota, B.
Venue
Clinical Infectious Diseases
Published
2004-10-15
Volume
39
Issue
8
Pages
1182-1189
ISSN
  • 1058-4838 (ISSN-L)
  • 1537-6591
OpenAlex
W2169223872
Cited by
635
References
1
FWCI
9.95
Type
journal article
Language
en
Open access
bronze

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CoChat. (2026). Citation check: Contamination, Disinfection, and Cross-Colonization: Are Hospital Surfaces Reservoirs for Nosocomial Infection? https://app.cochat.ai/papers/10.1086/424667
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Weinstein, R. A., & Hota, B. (2004). Contamination, Disinfection, and Cross-Colonization: Are Hospital Surfaces Reservoirs for Nosocomial Infection? Clinical Infectious Diseases. https://doi.org/10.1086/424667

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Bibliographic data: Semantic Scholar, OpenAlex, Crossref.

Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

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