Results 11 to 20 of about 492 (132)

A reaction-diffusion system to better comprehend the unlockdown: Application of SEIR-type model with diffusion to the spatial spread of COVID-19 in France

open access: yesComputational and Mathematical Biophysics, 2020
We wondered that if a reaction-diffusion model considering only the mean daily movement of susceptible, exposed and asymptomatic individuals was enough to describe the spread of the COVID-19 virus.
Mammeri Youcef
doaj   +1 more source

From ODE to Open Markov Chains, via SDE: an application to models for infections in individuals and populations

open access: yesComputational and Mathematical Biophysics, 2020
We present a methodology to connect an ordinary differential equation (ODE) model of interacting entities at the individual level, to an open Markov chain (OMC) model of a population of such individuals, via a stochastic differential equation (SDE ...
Esquível Manuel L.   +2 more
doaj   +1 more source

A mathematical model to study the spread of COVID-19 and its control in India

open access: yesComputational and Mathematical Biophysics, 2023
In this article, a nonlinear mathematical model is proposed and analyzed to study the spread of coronavirus disease (COVID-19) and its control. Due to sudden emergence of a peculiar kind of infection, no vaccines were available, and therefore, the ...
Naresh Ram   +3 more
doaj   +1 more source

On the Dynamics of Sexually Transmitted Diseases Under Awareness and Treatment

open access: yesFrontiers in Applied Mathematics and Statistics, 2022
In this paper, we develop and extend the work of Jia and Qin on sexually transmitted disease models with a novel class of non-linear incidence. Awareness plays a central role both in the susceptible and the infectious classes.
Suares Clovis Oukouomi Noutchie   +3 more
doaj   +1 more source

Optimal Control for a COVID-19 Model Accounting for Symptomatic and Asymptomatic

open access: yesComputational and Mathematical Biophysics, 2020
Building on an SEIR-type model of COVID-19 where the infecteds are further divided into symptomatic and asymptomatic, a system incorporating the various possible interventions is formulated.
Macalisang Jead M.   +3 more
doaj   +1 more source

A surrogate Bayesian framework for a SARS-CoV-2 data driven stochastic model

open access: yesComputational and Mathematical Biophysics, 2022
Dynamic compartmentalized data (DCD) and compartmentalized differential equations (CDEs) are key instruments for modeling transmission of pathogens such as the SARS-CoV-2 virus.
Ganesh M., Hawkins S. C.
doaj   +1 more source

Optimal Control for a Tuberculosis Model with Exogenous Reinfection under the Influence of Stigma

open access: yesComputational 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
doaj   +1 more source

Age Structured Mathematical Modeling Studies on COVID-19 with respect to Combined Vaccination and Medical Treatment Strategies

open access: yesComputational and Mathematical Biophysics, 2022
In this study, we develop a mathematical model incorporating age-specific transmission dynamics of COVID-19 to evaluate the role of vaccination and treatment strategies in reducing the size of COVID-19 burden.
Chhetri Bishal   +4 more
doaj   +1 more source

Evaluating early pandemic response through length-of-stay analysis of case logs and epidemiological modeling: A case study of Singapore in early 2020

open access: yesComputational and Mathematical Biophysics, 2023
It is now known that early government interventions in pandemic management helps in slowing down the pandemic in the initial phase, during which a conservative basic reproduction number can be maintained.
Sreevalsan-Nair Jaya   +4 more
doaj   +1 more source

How to Obtain Long Term Projections for Smoking Behaviour: A Case Study in the Dutch Population

open access: yesComputational and Mathematical Methods in Medicine, Volume 10, Issue 2, Page 155-164, 2009., 2009
A state‐transition model is presented to project the prevalence rates of never, current and former smokers within the Dutch population. Changes are determined by the transition rates among these three classes: start rates, quit rates and relapse rates. Both the initial prevalence rates and transition rates are calculated from cross‐sectional data using
Maurizio Capannesi   +3 more
wiley   +1 more source

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