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Preliminary estimation of temporal and spatiotemporal dynamic measures of COVID-19 transmission in Thailand
BACKGROUND: As a new emerging infectious disease pandemic, there is an urgent need to understand the dynamics of COVID-19 in each country to inform planning of emergency measures to contain its spread. It is essential that appropriate disease control activities are planned and implemented in a timel...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Public Library of Science
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7514043/ https://www.ncbi.nlm.nih.gov/pubmed/32970773 http://dx.doi.org/10.1371/journal.pone.0239645 |
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author | Rotejanaprasert, Chawarat Lawpoolsri, Saranath Pan-ngum, Wirichada Maude, Richard J. |
author_facet | Rotejanaprasert, Chawarat Lawpoolsri, Saranath Pan-ngum, Wirichada Maude, Richard J. |
author_sort | Rotejanaprasert, Chawarat |
collection | PubMed |
description | BACKGROUND: As a new emerging infectious disease pandemic, there is an urgent need to understand the dynamics of COVID-19 in each country to inform planning of emergency measures to contain its spread. It is essential that appropriate disease control activities are planned and implemented in a timely manner. Thailand was one of the first countries outside China to be affected with subsequent importation and domestic spread in most provinces in the country. METHOD: A key ingredient to guide planning and implementation of public health measures is a metric of transmissibility which represents the infectiousness of a disease. Ongoing policies can utilize this information to plan appropriately with updated estimates of disease transmissibility. Therefore we present descriptive analyses and preliminary statistical estimation of reproduction numbers over time and space to facilitate disease control activities in Thailand. RESULTS: The estimated basic reproduction number for COVID-19 during the study ranged from 2.23–5.90, with a mean of 3.75. We also tracked disease dynamics over time using temporal and spatiotemporal reproduction numbers. The results suggest that the outbreak was under control since the middle of April. After the boxing stadium and entertainment venues, the numbers of new cases had increased and spread across the country. DISCUSSION: Although various scenarios about assumptions were explored in this study, the real situation was difficult to determine given the limited data. More thorough mathematical modelling would be helpful to improve the estimation of transmissibility metrics for emergency preparedness as more epidemiological and clinical information about this new infection becomes available. However, the results can be used to guide interventions directly and to help parameterize models to predict the impact of these interventions. |
format | Online Article Text |
id | pubmed-7514043 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | Public Library of Science |
record_format | MEDLINE/PubMed |
spelling | pubmed-75140432020-10-01 Preliminary estimation of temporal and spatiotemporal dynamic measures of COVID-19 transmission in Thailand Rotejanaprasert, Chawarat Lawpoolsri, Saranath Pan-ngum, Wirichada Maude, Richard J. PLoS One Research Article BACKGROUND: As a new emerging infectious disease pandemic, there is an urgent need to understand the dynamics of COVID-19 in each country to inform planning of emergency measures to contain its spread. It is essential that appropriate disease control activities are planned and implemented in a timely manner. Thailand was one of the first countries outside China to be affected with subsequent importation and domestic spread in most provinces in the country. METHOD: A key ingredient to guide planning and implementation of public health measures is a metric of transmissibility which represents the infectiousness of a disease. Ongoing policies can utilize this information to plan appropriately with updated estimates of disease transmissibility. Therefore we present descriptive analyses and preliminary statistical estimation of reproduction numbers over time and space to facilitate disease control activities in Thailand. RESULTS: The estimated basic reproduction number for COVID-19 during the study ranged from 2.23–5.90, with a mean of 3.75. We also tracked disease dynamics over time using temporal and spatiotemporal reproduction numbers. The results suggest that the outbreak was under control since the middle of April. After the boxing stadium and entertainment venues, the numbers of new cases had increased and spread across the country. DISCUSSION: Although various scenarios about assumptions were explored in this study, the real situation was difficult to determine given the limited data. More thorough mathematical modelling would be helpful to improve the estimation of transmissibility metrics for emergency preparedness as more epidemiological and clinical information about this new infection becomes available. However, the results can be used to guide interventions directly and to help parameterize models to predict the impact of these interventions. Public Library of Science 2020-09-24 /pmc/articles/PMC7514043/ /pubmed/32970773 http://dx.doi.org/10.1371/journal.pone.0239645 Text en © 2020 Rotejanaprasert et al http://creativecommons.org/licenses/by/4.0/ This is an open access article distributed under the terms of the Creative Commons Attribution License (http://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 Rotejanaprasert, Chawarat Lawpoolsri, Saranath Pan-ngum, Wirichada Maude, Richard J. Preliminary estimation of temporal and spatiotemporal dynamic measures of COVID-19 transmission in Thailand |
title | Preliminary estimation of temporal and spatiotemporal dynamic measures of COVID-19 transmission in Thailand |
title_full | Preliminary estimation of temporal and spatiotemporal dynamic measures of COVID-19 transmission in Thailand |
title_fullStr | Preliminary estimation of temporal and spatiotemporal dynamic measures of COVID-19 transmission in Thailand |
title_full_unstemmed | Preliminary estimation of temporal and spatiotemporal dynamic measures of COVID-19 transmission in Thailand |
title_short | Preliminary estimation of temporal and spatiotemporal dynamic measures of COVID-19 transmission in Thailand |
title_sort | preliminary estimation of temporal and spatiotemporal dynamic measures of covid-19 transmission in thailand |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7514043/ https://www.ncbi.nlm.nih.gov/pubmed/32970773 http://dx.doi.org/10.1371/journal.pone.0239645 |
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