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Epidemic Model

On Fractional Order Influenza A Epidemic Model

On Fractional Order Influenza A Epidemic Model

... Abstract: This paper examines the fractional order of influenza using an epidemic model. The stability of disease-free and positive fixed points is explored and studied. The Adams-Bashforth-Moulton ...

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Numerical treatment of stochastic heroin epidemic model

Numerical treatment of stochastic heroin epidemic model

... We have presented the numerical analysis of a stochastic heroin epidemic model in this paper. The mean of stochastic heroin model is itself a deterministic solution. The effect of reproduction number ...

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SERIES SOLUTION OF EPIDEMIC MODEL

SERIES SOLUTION OF EPIDEMIC MODEL

... the epidemic model has taken at- tention in recent ...the epidemic is ...this model. In this model the following system determines the progress of the ...

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Dynamical behaviors of a stochastic SIRS epidemic model

Dynamical behaviors of a stochastic SIRS epidemic model

... In the other hand the modeling of population dynamics of diseases have recognized the intro- duction of stochastic term into deterministic models witch do incorporate the effect of fluctuat- ing environment. To formulate ...

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The SIS epidemic model with Markovian switching

The SIS epidemic model with Markovian switching

... SIS epidemic model ...SIS model’ or ‘the stochastic SIS epidemic model’, although other stochastic versions of the SIS model exist, ...Markovian model describing only ...

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A double epidemic model for the SARS propagation

A double epidemic model for the SARS propagation

... standard epidemic pattern for reasons that have to be ...double epidemic model for SARS we develop here is as ...one epidemic is SARS caused by a coronavirus virus, call it virus ...Another ...

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Dynamics of a delayed SEIQ epidemic model

Dynamics of a delayed SEIQ epidemic model

... an epidemic model that contains four species susceptible, exposed, infected and ...this model, first we find a feasible region which is invariant and where the solutions of our model are ...the ...

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An SEIRS epidemic model with stochastic transmission

An SEIRS epidemic model with stochastic transmission

... ode epidemic model system can possibly render an unstable disease-free equilibrium of the ode system to become stable in the stochastic differential equation ...

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An epidemic model with convalescent carrier

An epidemic model with convalescent carrier

... dynamic model of infectious diseases with latent period; a SEIQR model with latent period and quarantine was established in the article[2]; a SEIR epidemic model with immunization and latency ...

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Stochastic dynamics of an SEIS epidemic model

Stochastic dynamics of an SEIS epidemic model

... In this paper, we investigate the stochastic disease dynamics of an SEIS epidemic model with latent patients and active patients. The two parameters R s 0 and R ∗ 0 are identified as the disease-free and ...

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The threshold of a stochastic SIQS epidemic model

The threshold of a stochastic SIQS epidemic model

... fact, epidemic models are inevitably affected by environmental white noise which is an important component in realism, because it can provide an additional degree of realism in comparison to their deterministic ...

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On a fractional order Ebola epidemic model

On a fractional order Ebola epidemic model

... Ebola epidemic model and its comparison with real data extracted from the reports periodically published by the World Health Organization (WHO), starting from March 27th, ...for epidemic models, as ...

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Dynamics of a Heroin Epidemic Model with Very Population

Dynamics of a Heroin Epidemic Model with Very Population

... In this paper we have addressed the problem of investi- gation the existence and stability of the equilibria heroin epidemic model provided by Mulone and Straughan. We relax the condition the total ...

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Optimal Control For Dysentery Epidemic Model With Treatment

Optimal Control For Dysentery Epidemic Model With Treatment

... with model nonlinear differential equations it can be determined by linearizing using a Jacobian ...diarrhea epidemic model has two equilibrium points, namely the disease-free equilibrium point and ...

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A stochastic differential equation SIS epidemic model

A stochastic differential equation SIS epidemic model

... SIS epidemic model from a deterministic framework to a stochastic one, and formulate it as a stochastic differential equation (SDE) for the number of infectious individuals I ...

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An epidemic model with density dependent parameters and vaccination

An epidemic model with density dependent parameters and vaccination

... SUMMARY AND CONCLUSIONS In this paper we have studied a simple mathematical epidemic model with vaccination There are three possible equilibrium situations which arise Equilibrium wth po[r] ...

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Persistence and Extinction of a Stochastic Epidemic Model with Delay and Proportional Vaccination

Persistence and Extinction of a Stochastic Epidemic Model with Delay and Proportional Vaccination

... susceptible-infection-vaccinated epidemic model with proportional vaccination and generalized nonlinear rate is formulated and investigated in the ...stochastic epidemic model admits a unique ...

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Demographic stochasticity in the SDE SIS epidemic model

Demographic stochasticity in the SDE SIS epidemic model

... SIS epidemic model, for example Hethcote [17] studied the SIS epidemic model involving different factors such as disease mortality and ...SIS epidemic model is the simplest ...

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A SEIR Epidemic Model with Infectious Population Measurement

A SEIR Epidemic Model with Infectious Population Measurement

... two ones (namely, the “ infected” which incubate the disease but do not still have any disease symptoms and the “ infectious” or “ infective” which do have the external disease symptoms). Those models have also two major ...

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Parameter estimation for the stochastic SIS epidemic model

Parameter estimation for the stochastic SIS epidemic model

... In this paper we have applied the pseudo-MLE and the least squares method to estimate the parameters in the stochastic SIS model. For the least squares method, we started with the case in which only one data set ...

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