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Impact of masking policy on healthcare-associated acute respiratory infections in 18 hospitals in Southern Ontario

Published online by Cambridge University Press:  01 June 2026

Thomas Scheier
Affiliation:
Population Health Research Institute, Canada
Anne Bialachowski
Affiliation:
St Joseph’s Healthcare Hamilton, Canada
Michael Silverman
Affiliation:
Western University Faculty of Science, Canada
Tom Szakacs
Affiliation:
Brantford General Hospital, Canada
Marianita Lampitoc
Affiliation:
London Health Sciences Centre, Canada
William Ciccotelli
Affiliation:
Waterloo Regional Health Network, Canada
Medina Saffie
Affiliation:
Joseph Brant Hospital, Canada
Karim Ali
Affiliation:
Niagara Health System, Canada
Zain Chagla
Affiliation:
St Joseph’s Healthcare Hamilton, Canada
Dominik Mertz*
Affiliation:
McMaster University, Canada
*
Corresponding author: Dominik Mertz; Email: mertzd@mcmaster.ca

Abstract

Whether continuous masking prevents healthcare-associated acute respiratory infections (HA-ARI) remains uncertain. We demonstrate that discontinuing continuous masking policies in 18 acute care facilities in Ontario was not associated with an increase in the incidence of HA-ARIs in hospitalized patients, or with ARI outbreak activity over two consecutive ARI seasons.

Information

Type
Concise Communication
Creative Commons
Creative Common License - CCCreative Common License - BY
This is an Open Access article, distributed under the terms of the Creative Commons Attribution licence (https://creativecommons.org/licenses/by/4.0/), which permits unrestricted re-use, distribution and reproduction, provided the original article is properly cited.
Copyright
© The Author(s), 2026. Published by Cambridge University Press on behalf of The Society for Healthcare Epidemiology of America
Figure 0

Figure 1. Impact of face masking policies on healthcare-associated acute respiratory infections (HA-ARI). HA-ARI, healthcare-associated acute respiratory infections; (A) Total number of HA-ARIs and (B) number of ARI outbreaks was calculated as difference (in %) for each site between year 1 and year 2. Results were pooled for each policy group and displayed as boxplot (median, lower quartile and upper quartile).

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