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The SARS-CoV-2 pandemic course in Saudi Arabia: A dynamic epidemiological model
OBJECTIVE: Saudi Arabia ranks second in the number of coronavirus disease 2019 (COVID-19) cases in the Eastern Mediterranean region. It houses the two most sacred religious places for Muslims: Mecca and Medina. It is important to know what the trend in case numbers will be in the next 4–6 months, es...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
KeAi Publishing
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7521407/ https://www.ncbi.nlm.nih.gov/pubmed/33015424 http://dx.doi.org/10.1016/j.idm.2020.09.006 |
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author | Al-Khani, Abdullah Murhaf Khalifa, Mohamed Abdelghafour Almazrou, Abdulrahman Saquib, Nazmus |
author_facet | Al-Khani, Abdullah Murhaf Khalifa, Mohamed Abdelghafour Almazrou, Abdulrahman Saquib, Nazmus |
author_sort | Al-Khani, Abdullah Murhaf |
collection | PubMed |
description | OBJECTIVE: Saudi Arabia ranks second in the number of coronavirus disease 2019 (COVID-19) cases in the Eastern Mediterranean region. It houses the two most sacred religious places for Muslims: Mecca and Medina. It is important to know what the trend in case numbers will be in the next 4–6 months, especially during the Hajj pilgrimage season. METHODS: Epidemiological data on COVID-19 were obtained from the Saudi Arabian Ministry of Health. A susceptible-exposed-infectious-recovered (SEIR) prediction model was constructed to predict the trend in COVID-19 in Saudi Arabia in the next 6 months. FINDINGS: The model predicts that the number of active cases will peak by 22 May 2020. The cumulative infected cases are predicted to reach 70,321 at that time. The total number of infected individuals is estimated reach to 114,580 by the end of the pandemic. CONCLUSION: Our estimates show that by the time the Hajj season commences in Saudi Arabia, the pandemic will be in the midst of its deceleration phase (phase 3). This information will likely be useful to policymakers in their management of the outbreak. |
format | Online Article Text |
id | pubmed-7521407 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | KeAi Publishing |
record_format | MEDLINE/PubMed |
spelling | pubmed-75214072020-09-29 The SARS-CoV-2 pandemic course in Saudi Arabia: A dynamic epidemiological model Al-Khani, Abdullah Murhaf Khalifa, Mohamed Abdelghafour Almazrou, Abdulrahman Saquib, Nazmus Infect Dis Model Special issue on Modelling and Forecasting the 2019 Novel Coronavirus (2019-nCoV) Transmission; Edited by Prof. Carlos Castillo-Chavez, Prof. Gerardo Chowell-Puente, Prof. Ping Yan, Prof. Jianhong Wu OBJECTIVE: Saudi Arabia ranks second in the number of coronavirus disease 2019 (COVID-19) cases in the Eastern Mediterranean region. It houses the two most sacred religious places for Muslims: Mecca and Medina. It is important to know what the trend in case numbers will be in the next 4–6 months, especially during the Hajj pilgrimage season. METHODS: Epidemiological data on COVID-19 were obtained from the Saudi Arabian Ministry of Health. A susceptible-exposed-infectious-recovered (SEIR) prediction model was constructed to predict the trend in COVID-19 in Saudi Arabia in the next 6 months. FINDINGS: The model predicts that the number of active cases will peak by 22 May 2020. The cumulative infected cases are predicted to reach 70,321 at that time. The total number of infected individuals is estimated reach to 114,580 by the end of the pandemic. CONCLUSION: Our estimates show that by the time the Hajj season commences in Saudi Arabia, the pandemic will be in the midst of its deceleration phase (phase 3). This information will likely be useful to policymakers in their management of the outbreak. KeAi Publishing 2020-09-28 /pmc/articles/PMC7521407/ /pubmed/33015424 http://dx.doi.org/10.1016/j.idm.2020.09.006 Text en © 2020 The Authors http://creativecommons.org/licenses/by-nc-nd/4.0/ This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/). |
spellingShingle | Special issue on Modelling and Forecasting the 2019 Novel Coronavirus (2019-nCoV) Transmission; Edited by Prof. Carlos Castillo-Chavez, Prof. Gerardo Chowell-Puente, Prof. Ping Yan, Prof. Jianhong Wu Al-Khani, Abdullah Murhaf Khalifa, Mohamed Abdelghafour Almazrou, Abdulrahman Saquib, Nazmus The SARS-CoV-2 pandemic course in Saudi Arabia: A dynamic epidemiological model |
title | The SARS-CoV-2 pandemic course in Saudi Arabia: A dynamic epidemiological model |
title_full | The SARS-CoV-2 pandemic course in Saudi Arabia: A dynamic epidemiological model |
title_fullStr | The SARS-CoV-2 pandemic course in Saudi Arabia: A dynamic epidemiological model |
title_full_unstemmed | The SARS-CoV-2 pandemic course in Saudi Arabia: A dynamic epidemiological model |
title_short | The SARS-CoV-2 pandemic course in Saudi Arabia: A dynamic epidemiological model |
title_sort | sars-cov-2 pandemic course in saudi arabia: a dynamic epidemiological model |
topic | Special issue on Modelling and Forecasting the 2019 Novel Coronavirus (2019-nCoV) Transmission; Edited by Prof. Carlos Castillo-Chavez, Prof. Gerardo Chowell-Puente, Prof. Ping Yan, Prof. Jianhong Wu |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7521407/ https://www.ncbi.nlm.nih.gov/pubmed/33015424 http://dx.doi.org/10.1016/j.idm.2020.09.006 |
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