[HTML][HTML] A mathematical model of Coronavirus Disease (COVID-19) containing asymptomatic and symptomatic classes
The research work in this paper attempts to describe the outbreak of Coronavirus Disease
2019 (COVID-19) with the help of a mathematical model using both the Ordinary Differential …
2019 (COVID-19) with the help of a mathematical model using both the Ordinary Differential …
[HTML][HTML] An optimal control analysis of a COVID-19 model
This paper aims to explore the optimal control of the novel pandemic COVID-19 using non-
clinical approach. We formulate a mathematical model to analyze the transmission of the …
clinical approach. We formulate a mathematical model to analyze the transmission of the …
A restricted epidemic SIR model with elementary solutions
M Turkyilmazoglu - Physica A: Statistical Mechanics and its Applications, 2022 - Elsevier
The mathematical epidemic SIR (Susceptible–Infected–Recovered) model is targeted to
obtain full elementary solutions under restrictive assumptions in this paper. To achieve the …
obtain full elementary solutions under restrictive assumptions in this paper. To achieve the …
[HTML][HTML] Numerical and theoretical analysis of Rabies model under the harmonic mean type incidence rate
In recent years, rabies virus transmission has affected the community widely. Therefore, the
study of this deadly virus transmission acquires a significant place in the epidemic …
study of this deadly virus transmission acquires a significant place in the epidemic …
A numerical study of spatio-temporal COVID-19 vaccine model via finite-difference operator-splitting and meshless techniques
In this paper, a new spatio-temporal model is formulated to study the spread of coronavirus
infection (COVID-19) in a spatially heterogeneous environment with the impact of …
infection (COVID-19) in a spatially heterogeneous environment with the impact of …
[HTML][HTML] Analysis of infection and diffusion coefficient in an sir model by using generalized fractional derivative
In this article, a diffusion component in an SIR model is introduced, and its impact is
analyzed using fractional calculus. We have included the diffusion component in the SIR …
analyzed using fractional calculus. We have included the diffusion component in the SIR …
[HTML][HTML] Modeling the dynamics of novel coronavirus (COVID-19) via stochastic epidemic model
In this article we propose a stochastic model to discuss the dynamics of novel corona virus
disease. We formulate the model to study the long run behavior in varying population …
disease. We formulate the model to study the long run behavior in varying population …
A reliable Bayesian regularization neural network approach to solve the global stability of infectious disease model
R Alshahrani - Knowledge-Based Systems, 2024 - Elsevier
The purpose of this study is to perform the numerical results of the global stability of
infectious disease mathematical model by using the stochastic computing scheme. The …
infectious disease mathematical model by using the stochastic computing scheme. The …
Real-Time Estimation of Rt for Supporting Public-Health Policies Against COVID-19
S Contreras, HA Villavicencio, D Medina-Ortiz… - Frontiers in public …, 2020 - frontiersin.org
In the absence of a consensus protocol to slow down the spread of SARS-CoV-2,
policymakers need real-time indicators to support decisions in public health matters. The …
policymakers need real-time indicators to support decisions in public health matters. The …
[HTML][HTML] Some estimation methods for mixture of extreme value distributions with simulation and application in medicine
In recent years, statisticians have grown increasingly engaged in research of mixture
models, particularly in the previous decade, without adequate consideration of challenge of …
models, particularly in the previous decade, without adequate consideration of challenge of …