Results 1 to 10 of about 653 (119)
Global stability of a delayed SARS-CoV-2 reactivation model with logistic growth, antibody immunity and general incidence rate [PDF]
Alexandria Engineering Journal, 2022 Mathematical models have been considered as a robust tool to support biological and medical studies of the coronavirus disease 2019 (COVID-19). This new disease is caused by the severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2).
A.M. Elaiw, A.J. Alsaedi, A.D. Hobiny
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Computational and Mathematical Biophysics, 2021 a. Background: Dengue is an acute illness caused by a virus. The complex behaviour of the virus in human body can be captured using mathematical models. These models helps us to enhance our understanding on the dynamics of the virus.
Kanumoori Deva Siva Sai Murari +3 more
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Mathematical analysis of a MERS-Cov coronavirus model
Demonstratio Mathematica, 2022 In this study, we have proposed a mathematical model to describe the dynamics of the spread of Middle East Respiratory Syndrome disease. The model consists of six-coupled ordinary differential equations.
DarAssi Mahmoud H. +2 more
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Nonautonomous Dynamical Systems, 2022 In this study, an epidemic mathematical model for Omicron, denoted as B.1.1.529 SARS-Cov-2 Variant, is constructed. Covid-19 vaccines are considered here to ensure the host population’s safety across the model.
Dickson S. +2 more
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Stability analysis of a fractional ordered COVID-19 model
Computational and Mathematical Biophysics, 2021 The main purpose of this work is to study transmission dynamics of COVID-19 in Italy 2020, where the first case of Coronavirus disease 2019 (COVID-19) in Italy was reported on 31st January 2020.
Das Meghadri, Samanta Guruprasad
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Computational and Mathematical Biophysics, 2022 In this paper, we study the dynamical effects of timely and delayed diagnosis on the spread of COVID-19 in Ghana during its initial phase by using reported data from March 12 to June 19, 2020. The estimated basic reproduction number, ℛ0, for the proposed
Moore Stephen E. +4 more
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Parameter estimation for a SEIRS model with COVID-19 data of Türkiye
Analele Stiintifice ale Universitatii Ovidius Constanta: Seria Matematica, 2023 In this paper, the unknown parameters of a SEIRS mathematical model for the dynamics of COVID-19 are estimated by the least squares approach using data of Trkiye.
Unal Arzu, Demirci Elif
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Computational and Mathematical Biophysics, 2023 Measles is a highly communicable viral infection that mostly affects children aged 5 years and below. Maternal antibodies in neonates help protect them from infectious diseases, including measles. However, maternal antibodies disappear a few months after
Opoku Samuel +2 more
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Optimal Control for a Tuberculosis Model with Exogenous Reinfection under the Influence of Stigma
Computational and Mathematical Biophysics, 2022 Often described as the world’s most deadly infectious disease, Tuberculosis remains a serious health threat in many parts of the world, especially in the developing countries.
Liguarda Remilou +2 more
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Chaos control and analysis of fractional order neural network under electromagnetic radiation
Results in Physics, 2021 In the manuscript, fractional order neural network under electromagnetic radiation is introduced and its dynamics studied using Lyapunov exponents, stagnation points, symmetry, bifurcation diagrams etc.
F.M. Allehiany +4 more
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