Cargando…

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

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 ro...

Descripción completa

Detalles Bibliográficos
Autores principales: Wilson-Aggarwal, Jared K., Gotts, Nick, Arnold, Kellyn, Spyer, Moira J., Houlihan, Catherine F., Nastouli, Eleni, Manley, Ed
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10121006/
https://www.ncbi.nlm.nih.gov/pubmed/37083855
http://dx.doi.org/10.1371/journal.pone.0284512
_version_ 1785029291148312576
author Wilson-Aggarwal, Jared K.
Gotts, Nick
Arnold, Kellyn
Spyer, Moira J.
Houlihan, Catherine F.
Nastouli, Eleni
Manley, Ed
author_facet Wilson-Aggarwal, Jared K.
Gotts, Nick
Arnold, Kellyn
Spyer, Moira J.
Houlihan, Catherine F.
Nastouli, Eleni
Manley, Ed
author_sort Wilson-Aggarwal, Jared K.
collection PubMed
description 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.
format Online
Article
Text
id pubmed-10121006
institution National Center for Biotechnology Information
language English
publishDate 2023
publisher Public Library of Science
record_format MEDLINE/PubMed
spelling pubmed-101210062023-04-22 Assessing spatiotemporal variability in SARS-CoV-2 infection risk for hospital workers using routinely-collected data Wilson-Aggarwal, Jared K. Gotts, Nick Arnold, Kellyn Spyer, Moira J. Houlihan, Catherine F. Nastouli, Eleni Manley, Ed PLoS One Research Article 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. Public Library of Science 2023-04-21 /pmc/articles/PMC10121006/ /pubmed/37083855 http://dx.doi.org/10.1371/journal.pone.0284512 Text en © 2023 Wilson-Aggarwal et al https://creativecommons.org/licenses/by/4.0/This is an open access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
spellingShingle Research Article
Wilson-Aggarwal, Jared K.
Gotts, Nick
Arnold, Kellyn
Spyer, Moira J.
Houlihan, Catherine F.
Nastouli, Eleni
Manley, Ed
Assessing spatiotemporal variability in SARS-CoV-2 infection risk for hospital workers using routinely-collected data
title Assessing spatiotemporal variability in SARS-CoV-2 infection risk for hospital workers using routinely-collected data
title_full Assessing spatiotemporal variability in SARS-CoV-2 infection risk for hospital workers using routinely-collected data
title_fullStr Assessing spatiotemporal variability in SARS-CoV-2 infection risk for hospital workers using routinely-collected data
title_full_unstemmed Assessing spatiotemporal variability in SARS-CoV-2 infection risk for hospital workers using routinely-collected data
title_short Assessing spatiotemporal variability in SARS-CoV-2 infection risk for hospital workers using routinely-collected data
title_sort assessing spatiotemporal variability in sars-cov-2 infection risk for hospital workers using routinely-collected data
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10121006/
https://www.ncbi.nlm.nih.gov/pubmed/37083855
http://dx.doi.org/10.1371/journal.pone.0284512
work_keys_str_mv AT wilsonaggarwaljaredk assessingspatiotemporalvariabilityinsarscov2infectionriskforhospitalworkersusingroutinelycollecteddata
AT gottsnick assessingspatiotemporalvariabilityinsarscov2infectionriskforhospitalworkersusingroutinelycollecteddata
AT arnoldkellyn assessingspatiotemporalvariabilityinsarscov2infectionriskforhospitalworkersusingroutinelycollecteddata
AT spyermoiraj assessingspatiotemporalvariabilityinsarscov2infectionriskforhospitalworkersusingroutinelycollecteddata
AT houlihancatherinef assessingspatiotemporalvariabilityinsarscov2infectionriskforhospitalworkersusingroutinelycollecteddata
AT nastoulieleni assessingspatiotemporalvariabilityinsarscov2infectionriskforhospitalworkersusingroutinelycollecteddata
AT manleyed assessingspatiotemporalvariabilityinsarscov2infectionriskforhospitalworkersusingroutinelycollecteddata