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A modelling analysis of the effectiveness of second wave COVID-19 response strategies in Australia

There is a significant challenge in responding to second waves of COVID-19 cases, with governments being hesitant in introducing hard lockdown measures given the resulting economic impact. In addition, rising case numbers reflect an increase in coronavirus transmission some time previously, so timin...

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Autores principales: Milne, George J., Xie, Simon, Poklepovich, Dana, O’Halloran, Dan, Yap, Matthew, Whyatt, David
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8185067/
https://www.ncbi.nlm.nih.gov/pubmed/34099788
http://dx.doi.org/10.1038/s41598-021-91418-6
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author Milne, George J.
Xie, Simon
Poklepovich, Dana
O’Halloran, Dan
Yap, Matthew
Whyatt, David
author_facet Milne, George J.
Xie, Simon
Poklepovich, Dana
O’Halloran, Dan
Yap, Matthew
Whyatt, David
author_sort Milne, George J.
collection PubMed
description There is a significant challenge in responding to second waves of COVID-19 cases, with governments being hesitant in introducing hard lockdown measures given the resulting economic impact. In addition, rising case numbers reflect an increase in coronavirus transmission some time previously, so timing of response measures is highly important. Australia experienced a second wave from June 2020 onwards, confined to greater Melbourne, with initial social distancing measures failing to reduce rapidly increasing case numbers. We conducted a detailed analysis of this outbreak, together with an evaluation of the effectiveness of alternative response strategies, to provide guidance to countries experiencing second waves of SARS-Cov-2 transmission. An individual-based transmission model was used to (1) describe a second-wave COVID-19 epidemic in Australia; (2) evaluate the impact of lockdown strategies used; and (3) evaluate effectiveness of alternative mitigation strategies. The model was calibrated using daily diagnosed case data prior to lockdown. Specific social distancing interventions were modelled by adjusting person-to-person contacts in mixing locations. Modelling earlier activation of lockdown measures are predicted to reduce total case numbers by more than 50%. Epidemic peaks and duration of the second wave were also shown to reduce. Our results suggest that activating lockdown measures when second-wave case numbers first indicated exponential growth, would have been highly effective in reducing COVID-19 cases. The model was shown to realistically predict the epidemic growth rate under the social distancing measures applied, validating the methods applied. The timing of social distancing activation is shown to be critical to their effectiveness. Data showing exponential rise in cases, doubling every 7–10 days, can be used to trigger early lockdown measures. Such measures are shown to be necessary to reduce daily and total case numbers, and the consequential health burden, so preventing health care facilities being overwhelmed. Early control of second wave resurgence potentially permits strict lockdown measures to be eased earlier.
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spelling pubmed-81850672021-06-09 A modelling analysis of the effectiveness of second wave COVID-19 response strategies in Australia Milne, George J. Xie, Simon Poklepovich, Dana O’Halloran, Dan Yap, Matthew Whyatt, David Sci Rep Article There is a significant challenge in responding to second waves of COVID-19 cases, with governments being hesitant in introducing hard lockdown measures given the resulting economic impact. In addition, rising case numbers reflect an increase in coronavirus transmission some time previously, so timing of response measures is highly important. Australia experienced a second wave from June 2020 onwards, confined to greater Melbourne, with initial social distancing measures failing to reduce rapidly increasing case numbers. We conducted a detailed analysis of this outbreak, together with an evaluation of the effectiveness of alternative response strategies, to provide guidance to countries experiencing second waves of SARS-Cov-2 transmission. An individual-based transmission model was used to (1) describe a second-wave COVID-19 epidemic in Australia; (2) evaluate the impact of lockdown strategies used; and (3) evaluate effectiveness of alternative mitigation strategies. The model was calibrated using daily diagnosed case data prior to lockdown. Specific social distancing interventions were modelled by adjusting person-to-person contacts in mixing locations. Modelling earlier activation of lockdown measures are predicted to reduce total case numbers by more than 50%. Epidemic peaks and duration of the second wave were also shown to reduce. Our results suggest that activating lockdown measures when second-wave case numbers first indicated exponential growth, would have been highly effective in reducing COVID-19 cases. The model was shown to realistically predict the epidemic growth rate under the social distancing measures applied, validating the methods applied. The timing of social distancing activation is shown to be critical to their effectiveness. Data showing exponential rise in cases, doubling every 7–10 days, can be used to trigger early lockdown measures. Such measures are shown to be necessary to reduce daily and total case numbers, and the consequential health burden, so preventing health care facilities being overwhelmed. Early control of second wave resurgence potentially permits strict lockdown measures to be eased earlier. Nature Publishing Group UK 2021-06-07 /pmc/articles/PMC8185067/ /pubmed/34099788 http://dx.doi.org/10.1038/s41598-021-91418-6 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 licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence 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 licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) .
spellingShingle Article
Milne, George J.
Xie, Simon
Poklepovich, Dana
O’Halloran, Dan
Yap, Matthew
Whyatt, David
A modelling analysis of the effectiveness of second wave COVID-19 response strategies in Australia
title A modelling analysis of the effectiveness of second wave COVID-19 response strategies in Australia
title_full A modelling analysis of the effectiveness of second wave COVID-19 response strategies in Australia
title_fullStr A modelling analysis of the effectiveness of second wave COVID-19 response strategies in Australia
title_full_unstemmed A modelling analysis of the effectiveness of second wave COVID-19 response strategies in Australia
title_short A modelling analysis of the effectiveness of second wave COVID-19 response strategies in Australia
title_sort modelling analysis of the effectiveness of second wave covid-19 response strategies in australia
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8185067/
https://www.ncbi.nlm.nih.gov/pubmed/34099788
http://dx.doi.org/10.1038/s41598-021-91418-6
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