Modeling the impact of health care worker masking to reduce nosocomial SARS-CoV-2 transmission under varying adherence, prevalence, and transmission settings.

Masking by HCWs is an effective way to reduce nosocomial transmission at all levels of mask effectiveness and adherence. Increases in adherence to a masking policy can provide a small but important impact. Universal HCW masking policies are most impactful should policymakers wish to target HCW infections. The more transmissible a variant in circulation is, the more impactful HCW masking is for reducing infections. Policymakers should consider implementing masking at the point when community prevalence is optimum for maximum impact.

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Publication Details

Journal
Infection Control and Hospital Epidemiology
Published
2025-06-27
DOI
https://doi.org/10.1017/ice.2025.78
Primary Topic
Infection Control and Ventilation
Type
article
Field-Weighted Citation Impact
0.00

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article

Modeling the impact of health care worker masking to reduce nosocomial SARS-CoV-2 transmission under varying adherence, prevalence, and transmission settings.

Julie V. Robotham, James Stimson, Timothy Whiteley, Stephanie Evans et al.
26 links
Infection Control and Hospital Epidemiology
Infection Control and Ventilation
article

Modeling the impact of health care worker masking to reduce nosocomial SARS-CoV-2 transmission under varying adherence, prevalence, and transmission settings.

Julie V. Robotham, James Stimson, Timothy Whiteley, Stephanie Evans, Colin Stewart Brown
article en

Abstract

Masking by HCWs is an effective way to reduce nosocomial transmission at all levels of mask effectiveness and adherence. Increases in adherence to a masking policy can provide a small but important impact. Universal HCW masking policies are most impactful should policymakers wish to target HCW infections. The more transmissible a variant in circulation is, the more impactful HCW masking is for reducing infections. Policymakers should consider implementing masking at the point when community prevalence is optimum for maximum impact.

Infection Control and Hospital EpidemiologyVol. 46(8)
National Security Agency (US), National Institute for Health and Care Research (GB), University of Oxford (GB), UK Health Security Agency (GB), Imperial College London (GB)
Johns Hopkins University, National Institute for Health Research Health Protection Research Unit, National Institute for Health and Care Research, Imperial College London, University of Oxford
Openalex Percentile: Top 75%
Infection Control and Ventilation
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Modeling the impact of health care worker masking to reduce nosocomial SARS-CoV-2 transmission under varying adherence, prevalence, and transmission settings. — Julie V. Robotham, James Stimson, et al. · Infection Control and Hospital Epidemiology (2025) | TGRS Research Map | TGRS