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Twice evasions of Omicron variants explain the temporal patterns in six Asian and Oceanic countries
BACKGROUND: The ongoing coronavirus 2019 (COVID-19) pandemic has emerged and caused multiple pandemic waves in the following six countries: India, Indonesia, Nepal, Malaysia, Bangladesh and Myanmar. Some of the countries have been much less studied in this devastating pandemic. This study aims to as...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9839219/ https://www.ncbi.nlm.nih.gov/pubmed/36639649 http://dx.doi.org/10.1186/s12879-023-07984-9 |
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author | Chen, Boqiang Zhao, Yanji Jin, Zhen He, Daihai Li, Huaichen |
author_facet | Chen, Boqiang Zhao, Yanji Jin, Zhen He, Daihai Li, Huaichen |
author_sort | Chen, Boqiang |
collection | PubMed |
description | BACKGROUND: The ongoing coronavirus 2019 (COVID-19) pandemic has emerged and caused multiple pandemic waves in the following six countries: India, Indonesia, Nepal, Malaysia, Bangladesh and Myanmar. Some of the countries have been much less studied in this devastating pandemic. This study aims to assess the impact of the Omicron variant in these six countries and estimate the infection fatality rate (IFR) and the reproduction number [Formula: see text] in these six South Asia, Southeast Asia and Oceania countries. METHODS: We propose a Susceptible-Vaccinated-Exposed-Infectious-Hospitalized-Death-Recovered model with a time-varying transmission rate [Formula: see text] to fit the multiple waves of the COVID-19 pandemic and to estimate the IFR and [Formula: see text] in the aforementioned six countries. The level of immune evasion and the intrinsic transmissibility advantage of the Omicron variant are also considered in this model. RESULTS: We fit our model to the reported deaths well. We estimate the IFR (in the range of 0.016 to 0.136%) and the reproduction number [Formula: see text] (in the range of 0 to 9) in the six countries. Multiple pandemic waves in each country were observed in our simulation results. CONCLUSIONS: The invasion of the Omicron variant caused the new pandemic waves in the six countries. The higher [Formula: see text] suggests the intrinsic transmissibility advantage of the Omicron variant. Our model simulation forecast implies that the Omicron pandemic wave may be mitigated due to the increasing immunized population and vaccine coverage. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12879-023-07984-9. |
format | Online Article Text |
id | pubmed-9839219 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-98392192023-01-15 Twice evasions of Omicron variants explain the temporal patterns in six Asian and Oceanic countries Chen, Boqiang Zhao, Yanji Jin, Zhen He, Daihai Li, Huaichen BMC Infect Dis Research BACKGROUND: The ongoing coronavirus 2019 (COVID-19) pandemic has emerged and caused multiple pandemic waves in the following six countries: India, Indonesia, Nepal, Malaysia, Bangladesh and Myanmar. Some of the countries have been much less studied in this devastating pandemic. This study aims to assess the impact of the Omicron variant in these six countries and estimate the infection fatality rate (IFR) and the reproduction number [Formula: see text] in these six South Asia, Southeast Asia and Oceania countries. METHODS: We propose a Susceptible-Vaccinated-Exposed-Infectious-Hospitalized-Death-Recovered model with a time-varying transmission rate [Formula: see text] to fit the multiple waves of the COVID-19 pandemic and to estimate the IFR and [Formula: see text] in the aforementioned six countries. The level of immune evasion and the intrinsic transmissibility advantage of the Omicron variant are also considered in this model. RESULTS: We fit our model to the reported deaths well. We estimate the IFR (in the range of 0.016 to 0.136%) and the reproduction number [Formula: see text] (in the range of 0 to 9) in the six countries. Multiple pandemic waves in each country were observed in our simulation results. CONCLUSIONS: The invasion of the Omicron variant caused the new pandemic waves in the six countries. The higher [Formula: see text] suggests the intrinsic transmissibility advantage of the Omicron variant. Our model simulation forecast implies that the Omicron pandemic wave may be mitigated due to the increasing immunized population and vaccine coverage. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12879-023-07984-9. BioMed Central 2023-01-13 /pmc/articles/PMC9839219/ /pubmed/36639649 http://dx.doi.org/10.1186/s12879-023-07984-9 Text en © The Author(s) 2023 https://creativecommons.org/licenses/by/4.0/Open AccessThis 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/) . The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/ (https://creativecommons.org/publicdomain/zero/1.0/) ) applies to the data made available in this article, unless otherwise stated in a credit line to the data. |
spellingShingle | Research Chen, Boqiang Zhao, Yanji Jin, Zhen He, Daihai Li, Huaichen Twice evasions of Omicron variants explain the temporal patterns in six Asian and Oceanic countries |
title | Twice evasions of Omicron variants explain the temporal patterns in six Asian and Oceanic countries |
title_full | Twice evasions of Omicron variants explain the temporal patterns in six Asian and Oceanic countries |
title_fullStr | Twice evasions of Omicron variants explain the temporal patterns in six Asian and Oceanic countries |
title_full_unstemmed | Twice evasions of Omicron variants explain the temporal patterns in six Asian and Oceanic countries |
title_short | Twice evasions of Omicron variants explain the temporal patterns in six Asian and Oceanic countries |
title_sort | twice evasions of omicron variants explain the temporal patterns in six asian and oceanic countries |
topic | Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9839219/ https://www.ncbi.nlm.nih.gov/pubmed/36639649 http://dx.doi.org/10.1186/s12879-023-07984-9 |
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