Cargando…
Modelling the impact of non-pharmaceutical interventions on the spread of COVID-19 in Saudi Arabia
Countries around the world have implemented a series of interventions to contain the pandemic of coronavirus disease (COVID-19), and significant lessons can be drawn from the study of the full transmission dynamics of the disease caused by—severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2)...
Autores principales: | , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2023
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9842221/ https://www.ncbi.nlm.nih.gov/pubmed/36646733 http://dx.doi.org/10.1038/s41598-022-26468-5 |
_version_ | 1784870063543681024 |
---|---|
author | Althobaity, Yehya Tildesley, Michael J. |
author_facet | Althobaity, Yehya Tildesley, Michael J. |
author_sort | Althobaity, Yehya |
collection | PubMed |
description | Countries around the world have implemented a series of interventions to contain the pandemic of coronavirus disease (COVID-19), and significant lessons can be drawn from the study of the full transmission dynamics of the disease caused by—severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2)—in the Eastern, Madinah, Makkah, and Riyadh regions of Saudi Arabia, where robust non-pharmaceutical interventions effectively suppressed the local outbreak of this disease. On the basis of 333732 laboratory-confirmed cases, we used mathematical modelling to reconstruct the complete spectrum dynamics of COVID-19 in Saudi Arabia between 2 March and 25 September 2020 over 5 periods characterised by events and interventions. Our model account for asymptomatic and presymptomatic infectiousness, time-varying ascertainable infection rate, and transmission rates. Our results indicate that non-pharmaceutical interventions were effective in containing the epidemic, with reproduction numbers decreasing on average to 0.29 (0.19–0.66) in the Eastern, Madinah, Makkah, and Riyadh region. The chance of resurgence after the lifting of all interventions after 30 consecutive days with no symptomatic cases is also examined and emphasizes the danger presented by largely hidden infections while switching control strategies. These findings have major significance for evaluating methods for maintaining monitoring and interventions to eventually reduce outbreaks of COVID-19 in Saudi Arabia in the future. |
format | Online Article Text |
id | pubmed-9842221 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-98422212023-01-17 Modelling the impact of non-pharmaceutical interventions on the spread of COVID-19 in Saudi Arabia Althobaity, Yehya Tildesley, Michael J. Sci Rep Article Countries around the world have implemented a series of interventions to contain the pandemic of coronavirus disease (COVID-19), and significant lessons can be drawn from the study of the full transmission dynamics of the disease caused by—severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2)—in the Eastern, Madinah, Makkah, and Riyadh regions of Saudi Arabia, where robust non-pharmaceutical interventions effectively suppressed the local outbreak of this disease. On the basis of 333732 laboratory-confirmed cases, we used mathematical modelling to reconstruct the complete spectrum dynamics of COVID-19 in Saudi Arabia between 2 March and 25 September 2020 over 5 periods characterised by events and interventions. Our model account for asymptomatic and presymptomatic infectiousness, time-varying ascertainable infection rate, and transmission rates. Our results indicate that non-pharmaceutical interventions were effective in containing the epidemic, with reproduction numbers decreasing on average to 0.29 (0.19–0.66) in the Eastern, Madinah, Makkah, and Riyadh region. The chance of resurgence after the lifting of all interventions after 30 consecutive days with no symptomatic cases is also examined and emphasizes the danger presented by largely hidden infections while switching control strategies. These findings have major significance for evaluating methods for maintaining monitoring and interventions to eventually reduce outbreaks of COVID-19 in Saudi Arabia in the future. Nature Publishing Group UK 2023-01-16 /pmc/articles/PMC9842221/ /pubmed/36646733 http://dx.doi.org/10.1038/s41598-022-26468-5 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/) . |
spellingShingle | Article Althobaity, Yehya Tildesley, Michael J. Modelling the impact of non-pharmaceutical interventions on the spread of COVID-19 in Saudi Arabia |
title | Modelling the impact of non-pharmaceutical interventions on the spread of COVID-19 in Saudi Arabia |
title_full | Modelling the impact of non-pharmaceutical interventions on the spread of COVID-19 in Saudi Arabia |
title_fullStr | Modelling the impact of non-pharmaceutical interventions on the spread of COVID-19 in Saudi Arabia |
title_full_unstemmed | Modelling the impact of non-pharmaceutical interventions on the spread of COVID-19 in Saudi Arabia |
title_short | Modelling the impact of non-pharmaceutical interventions on the spread of COVID-19 in Saudi Arabia |
title_sort | modelling the impact of non-pharmaceutical interventions on the spread of covid-19 in saudi arabia |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9842221/ https://www.ncbi.nlm.nih.gov/pubmed/36646733 http://dx.doi.org/10.1038/s41598-022-26468-5 |
work_keys_str_mv | AT althobaityyehya modellingtheimpactofnonpharmaceuticalinterventionsonthespreadofcovid19insaudiarabia AT tildesleymichaelj modellingtheimpactofnonpharmaceuticalinterventionsonthespreadofcovid19insaudiarabia |