Assessing spatiotemporal variability in SARS-CoV-2 infection risk for hospital workers using routinely-collected data.

Abstract

The COVID-19 pandemic has emphasised the need to rapidly assess infection risks for healthcare workers within the hospital environment. Using data from the first year of the pandemic, we investigated whether an individual's COVID-19 test result was associated with behavioural markers derived from routinely collected hospital data two weeks prior to a test. The temporal and spatial context of behaviours were important, with the highest risks of infection during the first wave, for staff in contact with a greater number of patients and those with greater levels of activity on floors handling the majority of COVID-19 patients. Infection risks were higher for BAME staff and individuals working more shifts. Night shifts presented higher risks of infection between waves of COVID-19 patients. Our results demonstrate the epidemiological relevance of deriving markers of staff behaviour from electronic records, which extend beyond COVID-19 with applications for other communicable diseases and in supporting pandemic preparedness.

• Authors: Jared K Wilson-Aggarwal, Nick Gotts, Kellyn Arnold, Moira J Spyer, Catherine F Houlihan, Eleni Nastouli, Ed Manley
• Journal: PloS one (PLoS One) Vol. 18 Issue 4 Pg. e0284512 ( 2023) ISSN: 1932-6203 [Electronic] United States
• PMID: 37083855 (Publication Type: Journal Article, Research Support, Non-U.S. Gov't)
• Copyright: Copyright: © 2023 Wilson-Aggarwal et al. This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.

Topics

• Humans
• COVID-19 (epidemiology)
• Pandemics
• Routinely Collected Health Data
• SARS-CoV-2
• Personnel, Hospital
• Health Personnel
• Hospitals