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Persistence of the Omicron variant of SARS-CoV-2 in Australia: The impact of fluctuating social distancing
We modelled emergence and spread of the Omicron variant of SARS-CoV-2 in Australia between December 2021 and June 2022. This pandemic stage exhibited a diverse epidemiological profile with emergence of co-circulating sub-lineages of Omicron, further complicated by differences in social distancing be...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Public Library of Science
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10109475/ https://www.ncbi.nlm.nih.gov/pubmed/37068078 http://dx.doi.org/10.1371/journal.pgph.0001427 |
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author | Chang, Sheryl L. Nguyen, Quang Dang Martiniuk, Alexandra Sintchenko, Vitali Sorrell, Tania C. Prokopenko, Mikhail |
author_facet | Chang, Sheryl L. Nguyen, Quang Dang Martiniuk, Alexandra Sintchenko, Vitali Sorrell, Tania C. Prokopenko, Mikhail |
author_sort | Chang, Sheryl L. |
collection | PubMed |
description | We modelled emergence and spread of the Omicron variant of SARS-CoV-2 in Australia between December 2021 and June 2022. This pandemic stage exhibited a diverse epidemiological profile with emergence of co-circulating sub-lineages of Omicron, further complicated by differences in social distancing behaviour which varied over time. Our study delineated distinct phases of the Omicron-associated pandemic stage, and retrospectively quantified the adoption of social distancing measures, fluctuating over different time periods in response to the observable incidence dynamics. We also modelled the corresponding disease burden, in terms of hospitalisations, intensive care unit occupancy, and mortality. Supported by good agreement between simulated and actual health data, our study revealed that the nonlinear dynamics observed in the daily incidence and disease burden were determined not only by introduction of sub-lineages of Omicron, but also by the fluctuating adoption of social distancing measures. Our high-resolution model can be used in design and evaluation of public health interventions during future crises. |
format | Online Article Text |
id | pubmed-10109475 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | Public Library of Science |
record_format | MEDLINE/PubMed |
spelling | pubmed-101094752023-04-18 Persistence of the Omicron variant of SARS-CoV-2 in Australia: The impact of fluctuating social distancing Chang, Sheryl L. Nguyen, Quang Dang Martiniuk, Alexandra Sintchenko, Vitali Sorrell, Tania C. Prokopenko, Mikhail PLOS Glob Public Health Research Article We modelled emergence and spread of the Omicron variant of SARS-CoV-2 in Australia between December 2021 and June 2022. This pandemic stage exhibited a diverse epidemiological profile with emergence of co-circulating sub-lineages of Omicron, further complicated by differences in social distancing behaviour which varied over time. Our study delineated distinct phases of the Omicron-associated pandemic stage, and retrospectively quantified the adoption of social distancing measures, fluctuating over different time periods in response to the observable incidence dynamics. We also modelled the corresponding disease burden, in terms of hospitalisations, intensive care unit occupancy, and mortality. Supported by good agreement between simulated and actual health data, our study revealed that the nonlinear dynamics observed in the daily incidence and disease burden were determined not only by introduction of sub-lineages of Omicron, but also by the fluctuating adoption of social distancing measures. Our high-resolution model can be used in design and evaluation of public health interventions during future crises. Public Library of Science 2023-04-17 /pmc/articles/PMC10109475/ /pubmed/37068078 http://dx.doi.org/10.1371/journal.pgph.0001427 Text en © 2023 Chang 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 Chang, Sheryl L. Nguyen, Quang Dang Martiniuk, Alexandra Sintchenko, Vitali Sorrell, Tania C. Prokopenko, Mikhail Persistence of the Omicron variant of SARS-CoV-2 in Australia: The impact of fluctuating social distancing |
title | Persistence of the Omicron variant of SARS-CoV-2 in Australia: The impact of fluctuating social distancing |
title_full | Persistence of the Omicron variant of SARS-CoV-2 in Australia: The impact of fluctuating social distancing |
title_fullStr | Persistence of the Omicron variant of SARS-CoV-2 in Australia: The impact of fluctuating social distancing |
title_full_unstemmed | Persistence of the Omicron variant of SARS-CoV-2 in Australia: The impact of fluctuating social distancing |
title_short | Persistence of the Omicron variant of SARS-CoV-2 in Australia: The impact of fluctuating social distancing |
title_sort | persistence of the omicron variant of sars-cov-2 in australia: the impact of fluctuating social distancing |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10109475/ https://www.ncbi.nlm.nih.gov/pubmed/37068078 http://dx.doi.org/10.1371/journal.pgph.0001427 |
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