A new dynamical modeling SEIR with global analysis applied to the real data of spreading COVID-19 in Saudi Arabia
type: Item
instance of: scholarly article
title: A new dynamical modeling SEIR with global analysis applied to the real data of spreading COVID-19 in Saudi Arabia
zbMATH Open document ID: 1471.92365
author: Hamdy M. Youssef
author: Najat A. Alghamdi
author: M. A. Ezzat
author: A. A. El-Bary
author: Ahmed M. Shawky
published in: Mathematical Biosciences and Engineering
publication date: 2021-09-03T00:00:00Z
review text: This paper studies a statistical SEIR epidemic model for the spreading of new COVID-19 corona viruses. Through global analysis and numerical validation with real data sets, it further explores the idea protocols and control strategies that can reduce the outbreak of the disease. The proposed SEIR model is described by a first-order ordinary nonlinear differential equation system, where both natural death and death due to COVID are factored in. Mathematical analyses are performed for determining positivity solution, epidemic equilibrium, uniqueness of equilibrium condition, stability of disease-free equilibrium, and global stability. On top of that, the paper uses real data of spreading COVID in Saudi Arabia from April 2020 to explore the ways to breakdown spreading the COVID in Saudi Arabia.
reviewed by: Yilun Shang
Mathematics Subject Classification ID: 92D30
Mathematics Subject Classification ID: 34D23
zbMATH DE Number: 7390444
zbMATH Keywords: novel coronavirus
zbMATH Keywords: COVID-19
zbMATH Keywords: SEIR model
zbMATH Keywords: Jacobian matrix
zbMATH Keywords: reproduction number
zbMATH Keywords: Lyapunov's stability
MaRDI profile type: Publication
Wikidata QID: Q104619353
full work available at URL: mbe.2020362
OpenAlex ID: W3092752955
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DOI: 10.3934/MBE.2020362
description: scientific article; zbMATH DE number 7390444