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Simulating Transmission Scenarios of the Delta Variant of SARS-CoV-2 in Australia
An outbreak of the Delta (B.1.617.2) variant of SARS-CoV-2 that began around mid-June 2021 in Sydney, Australia, quickly developed into a nation-wide epidemic. The ongoing epidemic is of major concern as the Delta variant is more infectious than previous variants that circulated in Australia in 2020...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Frontiers Media S.A.
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8907620/ https://www.ncbi.nlm.nih.gov/pubmed/35284395 http://dx.doi.org/10.3389/fpubh.2022.823043 |
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author | Chang, Sheryl L. Cliff, Oliver M. Zachreson, Cameron Prokopenko, Mikhail |
author_facet | Chang, Sheryl L. Cliff, Oliver M. Zachreson, Cameron Prokopenko, Mikhail |
author_sort | Chang, Sheryl L. |
collection | PubMed |
description | An outbreak of the Delta (B.1.617.2) variant of SARS-CoV-2 that began around mid-June 2021 in Sydney, Australia, quickly developed into a nation-wide epidemic. The ongoing epidemic is of major concern as the Delta variant is more infectious than previous variants that circulated in Australia in 2020. Using a re-calibrated agent-based model, we explored a feasible range of non-pharmaceutical interventions, including case isolation, home quarantine, school closures, and stay-at-home restrictions (i.e., “social distancing.”) Our modelling indicated that the levels of reduced interactions in workplaces and across communities attained in Sydney and other parts of the nation were inadequate for controlling the outbreak. A counter-factual analysis suggested that if 70% of the population followed tight stay-at-home restrictions, then at least 45 days would have been needed for new daily cases to fall from their peak to below ten per day. Our model predicted that, under a progressive vaccination rollout, if 40–50% of the Australian population follow stay-at-home restrictions, the incidence will peak by mid-October 2021: the peak in incidence across the nation was indeed observed in mid-October. We also quantified an expected burden on the healthcare system and potential fatalities across Australia. |
format | Online Article Text |
id | pubmed-8907620 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Frontiers Media S.A. |
record_format | MEDLINE/PubMed |
spelling | pubmed-89076202022-03-11 Simulating Transmission Scenarios of the Delta Variant of SARS-CoV-2 in Australia Chang, Sheryl L. Cliff, Oliver M. Zachreson, Cameron Prokopenko, Mikhail Front Public Health Public Health An outbreak of the Delta (B.1.617.2) variant of SARS-CoV-2 that began around mid-June 2021 in Sydney, Australia, quickly developed into a nation-wide epidemic. The ongoing epidemic is of major concern as the Delta variant is more infectious than previous variants that circulated in Australia in 2020. Using a re-calibrated agent-based model, we explored a feasible range of non-pharmaceutical interventions, including case isolation, home quarantine, school closures, and stay-at-home restrictions (i.e., “social distancing.”) Our modelling indicated that the levels of reduced interactions in workplaces and across communities attained in Sydney and other parts of the nation were inadequate for controlling the outbreak. A counter-factual analysis suggested that if 70% of the population followed tight stay-at-home restrictions, then at least 45 days would have been needed for new daily cases to fall from their peak to below ten per day. Our model predicted that, under a progressive vaccination rollout, if 40–50% of the Australian population follow stay-at-home restrictions, the incidence will peak by mid-October 2021: the peak in incidence across the nation was indeed observed in mid-October. We also quantified an expected burden on the healthcare system and potential fatalities across Australia. Frontiers Media S.A. 2022-02-24 /pmc/articles/PMC8907620/ /pubmed/35284395 http://dx.doi.org/10.3389/fpubh.2022.823043 Text en Copyright © 2022 Chang, Cliff, Zachreson and Prokopenko. https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms. |
spellingShingle | Public Health Chang, Sheryl L. Cliff, Oliver M. Zachreson, Cameron Prokopenko, Mikhail Simulating Transmission Scenarios of the Delta Variant of SARS-CoV-2 in Australia |
title | Simulating Transmission Scenarios of the Delta Variant of SARS-CoV-2 in Australia |
title_full | Simulating Transmission Scenarios of the Delta Variant of SARS-CoV-2 in Australia |
title_fullStr | Simulating Transmission Scenarios of the Delta Variant of SARS-CoV-2 in Australia |
title_full_unstemmed | Simulating Transmission Scenarios of the Delta Variant of SARS-CoV-2 in Australia |
title_short | Simulating Transmission Scenarios of the Delta Variant of SARS-CoV-2 in Australia |
title_sort | simulating transmission scenarios of the delta variant of sars-cov-2 in australia |
topic | Public Health |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8907620/ https://www.ncbi.nlm.nih.gov/pubmed/35284395 http://dx.doi.org/10.3389/fpubh.2022.823043 |
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