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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...

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Autores principales: Lal, Rajnesh, Huang, Weidong, Li, Zhenquan, Prasad, Swastika
Formato: Online Artículo Texto
Lenguaje:English
Publicado: The Royal Society 2022
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.
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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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