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An assessment of transmission dynamics via time-varying reproduction number of the second wave of the COVID-19 epidemic in Fiji
This study involves the estimation of a key epidemiological parameter for evaluating and monitoring the transmissibility of a disease. The time-varying reproduction number is the index for quantifying the transmissibility of infectious diseases. Accurate and timely estimation of the time-varying rep...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
The Royal Society
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9428540/ https://www.ncbi.nlm.nih.gov/pubmed/36061527 http://dx.doi.org/10.1098/rsos.220004 |
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author | Lal, Rajnesh Huang, Weidong Li, Zhenquan Prasad, Swastika |
author_facet | Lal, Rajnesh Huang, Weidong Li, Zhenquan Prasad, Swastika |
author_sort | Lal, Rajnesh |
collection | PubMed |
description | This study involves the estimation of a key epidemiological parameter for evaluating and monitoring the transmissibility of a disease. The time-varying reproduction number is the index for quantifying the transmissibility of infectious diseases. Accurate and timely estimation of the time-varying reproduction number is essential for optimizing non-pharmacological interventions and movement control orders during epidemics. The time-varying reproduction number for the second wave of the pandemic in Fiji is estimated using the popular EpiEstim R package and the publicly available COVID-19 data from 19 April 2021 to 1 December 2021. Our findings show that the non-pharmacological interventions and movement control orders introduced and enforced by the Fijian Government had a significant impact in preventing the spread of COVID-19. Moreover, the results show that many restrictions were either relaxed or eased when the time-varying reproduction number was below the threshold value of 1. The results have provided some information on the second wave of the COVID-19 pandemic that could be used in the future as a guide for public health policymakers in Fiji. Estimation of time-varying reproduction numbers would be helpful for continuous monitoring of the effectiveness of the current public health policies that are being implemented in Fiji. |
format | Online Article Text |
id | pubmed-9428540 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | The Royal Society |
record_format | MEDLINE/PubMed |
spelling | pubmed-94285402022-09-01 An assessment of transmission dynamics via time-varying reproduction number of the second wave of the COVID-19 epidemic in Fiji Lal, Rajnesh Huang, Weidong Li, Zhenquan Prasad, Swastika R Soc Open Sci Mathematics This study involves the estimation of a key epidemiological parameter for evaluating and monitoring the transmissibility of a disease. The time-varying reproduction number is the index for quantifying the transmissibility of infectious diseases. Accurate and timely estimation of the time-varying reproduction number is essential for optimizing non-pharmacological interventions and movement control orders during epidemics. The time-varying reproduction number for the second wave of the pandemic in Fiji is estimated using the popular EpiEstim R package and the publicly available COVID-19 data from 19 April 2021 to 1 December 2021. Our findings show that the non-pharmacological interventions and movement control orders introduced and enforced by the Fijian Government had a significant impact in preventing the spread of COVID-19. Moreover, the results show that many restrictions were either relaxed or eased when the time-varying reproduction number was below the threshold value of 1. The results have provided some information on the second wave of the COVID-19 pandemic that could be used in the future as a guide for public health policymakers in Fiji. Estimation of time-varying reproduction numbers would be helpful for continuous monitoring of the effectiveness of the current public health policies that are being implemented in Fiji. The Royal Society 2022-08-31 /pmc/articles/PMC9428540/ /pubmed/36061527 http://dx.doi.org/10.1098/rsos.220004 Text en © 2022 The Authors. https://creativecommons.org/licenses/by/4.0/Published by the Royal Society under the terms of the Creative Commons Attribution License http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, provided the original author and source are credited. |
spellingShingle | Mathematics Lal, Rajnesh Huang, Weidong Li, Zhenquan Prasad, Swastika An assessment of transmission dynamics via time-varying reproduction number of the second wave of the COVID-19 epidemic in Fiji |
title | An assessment of transmission dynamics via time-varying reproduction number of the second wave of the COVID-19 epidemic in Fiji |
title_full | An assessment of transmission dynamics via time-varying reproduction number of the second wave of the COVID-19 epidemic in Fiji |
title_fullStr | An assessment of transmission dynamics via time-varying reproduction number of the second wave of the COVID-19 epidemic in Fiji |
title_full_unstemmed | An assessment of transmission dynamics via time-varying reproduction number of the second wave of the COVID-19 epidemic in Fiji |
title_short | An assessment of transmission dynamics via time-varying reproduction number of the second wave of the COVID-19 epidemic in Fiji |
title_sort | assessment of transmission dynamics via time-varying reproduction number of the second wave of the covid-19 epidemic in fiji |
topic | Mathematics |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9428540/ https://www.ncbi.nlm.nih.gov/pubmed/36061527 http://dx.doi.org/10.1098/rsos.220004 |
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