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Understanding how Victoria, Australia gained control of its second COVID-19 wave

During 2020, Victoria was the Australian state hardest hit by COVID-19, but was successful in controlling its second wave through aggressive policy interventions. We calibrated a detailed compartmental model of Victoria’s second wave to multiple geographically-structured epidemic time-series indicat...

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Autores principales: Trauer, James M., Lydeamore, Michael J., Dalton, Gregory W., Pilcher, David, Meehan, Michael T., McBryde, Emma S., Cheng, Allen C., Sutton, Brett, Ragonnet, Romain
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8560916/
https://www.ncbi.nlm.nih.gov/pubmed/34725323
http://dx.doi.org/10.1038/s41467-021-26558-4
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author Trauer, James M.
Lydeamore, Michael J.
Dalton, Gregory W.
Pilcher, David
Meehan, Michael T.
McBryde, Emma S.
Cheng, Allen C.
Sutton, Brett
Ragonnet, Romain
author_facet Trauer, James M.
Lydeamore, Michael J.
Dalton, Gregory W.
Pilcher, David
Meehan, Michael T.
McBryde, Emma S.
Cheng, Allen C.
Sutton, Brett
Ragonnet, Romain
author_sort Trauer, James M.
collection PubMed
description During 2020, Victoria was the Australian state hardest hit by COVID-19, but was successful in controlling its second wave through aggressive policy interventions. We calibrated a detailed compartmental model of Victoria’s second wave to multiple geographically-structured epidemic time-series indicators. We achieved a good fit overall and for individual health services through a combination of time-varying processes, including case detection, population mobility, school closures, physical distancing and face covering usage. Estimates of the risk of death in those aged ≥75 and of hospitalisation were higher than international estimates, reflecting concentration of cases in high-risk settings. We estimated significant effects for each of the calibrated time-varying processes, with estimates for the individual-level effect of physical distancing of 37.4% (95%CrI 7.2−56.4%) and of face coverings of 45.9% (95%CrI 32.9−55.6%). That the multi-faceted interventions led to the dramatic reversal in the epidemic trajectory is supported by our results, with face coverings likely particularly important.
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spelling pubmed-85609162021-11-15 Understanding how Victoria, Australia gained control of its second COVID-19 wave Trauer, James M. Lydeamore, Michael J. Dalton, Gregory W. Pilcher, David Meehan, Michael T. McBryde, Emma S. Cheng, Allen C. Sutton, Brett Ragonnet, Romain Nat Commun Article During 2020, Victoria was the Australian state hardest hit by COVID-19, but was successful in controlling its second wave through aggressive policy interventions. We calibrated a detailed compartmental model of Victoria’s second wave to multiple geographically-structured epidemic time-series indicators. We achieved a good fit overall and for individual health services through a combination of time-varying processes, including case detection, population mobility, school closures, physical distancing and face covering usage. Estimates of the risk of death in those aged ≥75 and of hospitalisation were higher than international estimates, reflecting concentration of cases in high-risk settings. We estimated significant effects for each of the calibrated time-varying processes, with estimates for the individual-level effect of physical distancing of 37.4% (95%CrI 7.2−56.4%) and of face coverings of 45.9% (95%CrI 32.9−55.6%). That the multi-faceted interventions led to the dramatic reversal in the epidemic trajectory is supported by our results, with face coverings likely particularly important. Nature Publishing Group UK 2021-11-01 /pmc/articles/PMC8560916/ /pubmed/34725323 http://dx.doi.org/10.1038/s41467-021-26558-4 Text en © The Author(s) 2021 https://creativecommons.org/licenses/by/4.0/Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) .
spellingShingle Article
Trauer, James M.
Lydeamore, Michael J.
Dalton, Gregory W.
Pilcher, David
Meehan, Michael T.
McBryde, Emma S.
Cheng, Allen C.
Sutton, Brett
Ragonnet, Romain
Understanding how Victoria, Australia gained control of its second COVID-19 wave
title Understanding how Victoria, Australia gained control of its second COVID-19 wave
title_full Understanding how Victoria, Australia gained control of its second COVID-19 wave
title_fullStr Understanding how Victoria, Australia gained control of its second COVID-19 wave
title_full_unstemmed Understanding how Victoria, Australia gained control of its second COVID-19 wave
title_short Understanding how Victoria, Australia gained control of its second COVID-19 wave
title_sort understanding how victoria, australia gained control of its second covid-19 wave
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8560916/
https://www.ncbi.nlm.nih.gov/pubmed/34725323
http://dx.doi.org/10.1038/s41467-021-26558-4
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