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Predicting the Epidemiological Outbreak of the Coronavirus Disease 2019 (COVID-19) in Saudi Arabia

The coronavirus diseases 2019 (COVID-19) outbreak continues to spread rapidly across the world and has been declared as pandemic by World Health Organization (WHO). Saudi Arabia was among the countries that was affected by the deadly and contagious virus. Using a real-time data from 2 March 2020 to...

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Autores principales: Alboaneen, Dabiah, Pranggono, Bernardi, Alshammari, Dhahi, Alqahtani, Nourah, Alyaffer, Raja
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7344859/
https://www.ncbi.nlm.nih.gov/pubmed/32630363
http://dx.doi.org/10.3390/ijerph17124568
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author Alboaneen, Dabiah
Pranggono, Bernardi
Alshammari, Dhahi
Alqahtani, Nourah
Alyaffer, Raja
author_facet Alboaneen, Dabiah
Pranggono, Bernardi
Alshammari, Dhahi
Alqahtani, Nourah
Alyaffer, Raja
author_sort Alboaneen, Dabiah
collection PubMed
description The coronavirus diseases 2019 (COVID-19) outbreak continues to spread rapidly across the world and has been declared as pandemic by World Health Organization (WHO). Saudi Arabia was among the countries that was affected by the deadly and contagious virus. Using a real-time data from 2 March 2020 to 15 May 2020 collected from Saudi Ministry of Health, we aimed to give a local prediction of the epidemic in Saudi Arabia. We used two models: the Logistic Growth and the Susceptible-Infected-Recovered for real-time forecasting the confirmed cases of COVID-19 across Saudi Arabia. Our models predicted that the epidemics of COVID-19 will have total cases of 69,000 to 79,000 cases. The simulations also predicted that the outbreak will entering the final-phase by end of June 2020.
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spelling pubmed-73448592020-07-09 Predicting the Epidemiological Outbreak of the Coronavirus Disease 2019 (COVID-19) in Saudi Arabia Alboaneen, Dabiah Pranggono, Bernardi Alshammari, Dhahi Alqahtani, Nourah Alyaffer, Raja Int J Environ Res Public Health Article The coronavirus diseases 2019 (COVID-19) outbreak continues to spread rapidly across the world and has been declared as pandemic by World Health Organization (WHO). Saudi Arabia was among the countries that was affected by the deadly and contagious virus. Using a real-time data from 2 March 2020 to 15 May 2020 collected from Saudi Ministry of Health, we aimed to give a local prediction of the epidemic in Saudi Arabia. We used two models: the Logistic Growth and the Susceptible-Infected-Recovered for real-time forecasting the confirmed cases of COVID-19 across Saudi Arabia. Our models predicted that the epidemics of COVID-19 will have total cases of 69,000 to 79,000 cases. The simulations also predicted that the outbreak will entering the final-phase by end of June 2020. MDPI 2020-06-25 2020-06 /pmc/articles/PMC7344859/ /pubmed/32630363 http://dx.doi.org/10.3390/ijerph17124568 Text en © 2020 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Alboaneen, Dabiah
Pranggono, Bernardi
Alshammari, Dhahi
Alqahtani, Nourah
Alyaffer, Raja
Predicting the Epidemiological Outbreak of the Coronavirus Disease 2019 (COVID-19) in Saudi Arabia
title Predicting the Epidemiological Outbreak of the Coronavirus Disease 2019 (COVID-19) in Saudi Arabia
title_full Predicting the Epidemiological Outbreak of the Coronavirus Disease 2019 (COVID-19) in Saudi Arabia
title_fullStr Predicting the Epidemiological Outbreak of the Coronavirus Disease 2019 (COVID-19) in Saudi Arabia
title_full_unstemmed Predicting the Epidemiological Outbreak of the Coronavirus Disease 2019 (COVID-19) in Saudi Arabia
title_short Predicting the Epidemiological Outbreak of the Coronavirus Disease 2019 (COVID-19) in Saudi Arabia
title_sort predicting the epidemiological outbreak of the coronavirus disease 2019 (covid-19) in saudi arabia
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7344859/
https://www.ncbi.nlm.nih.gov/pubmed/32630363
http://dx.doi.org/10.3390/ijerph17124568
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