In this paper we propose a continuous-time Markov chain to describe the spread of an infective and non-mortal disease into a community numerically limited and subjected to an external infection. We make a numerical simulation that shows tendencies for recurring epidemic outbreaks and for fade-out or extinction of the infection
abstract: Mathematical modeling of infectious diseases can help public health officials to make deci...
Epidemics are often modeled using non-linear dynamical systems observed through partial and noisy da...
Epidemics are often modeled using non-linear dynamical systems observed through partial and noisy da...
In this paper we propose a continuous-time Markov chain to describe the spread of an infective and n...
In this work we show two different approaches to model virus spread in a large population of individ...
Recently, mathematical models are used to describe epidemic disease spread. Epidemic disease transmi...
To forecast the time dynamics of an epidemic,we propose a discrete stochastic model that unifies an...
A stochastic continuous-infection model is developed that describes the evolution of an infectious d...
A stochastic continuous-infection model is developed that describes the evolution of an infectious d...
This paper investigates the dynamics of infectious diseases with a nonexponentially distributed infe...
Some mathematical methods for formulation and numerical simulation of stochastic epidemic models are...
We propose a class of mathematical models for the transmission of infectious diseases in large popul...
In this project, I analyze a mathematical model for the spread of an epidemic using techniques from ...
A Markov chain individual-based model for virus diffusion is investigated. Both the virus growth wit...
This study is one of the few that has dwell on the application of Markov Chain in modeling infectiou...
abstract: Mathematical modeling of infectious diseases can help public health officials to make deci...
Epidemics are often modeled using non-linear dynamical systems observed through partial and noisy da...
Epidemics are often modeled using non-linear dynamical systems observed through partial and noisy da...
In this paper we propose a continuous-time Markov chain to describe the spread of an infective and n...
In this work we show two different approaches to model virus spread in a large population of individ...
Recently, mathematical models are used to describe epidemic disease spread. Epidemic disease transmi...
To forecast the time dynamics of an epidemic,we propose a discrete stochastic model that unifies an...
A stochastic continuous-infection model is developed that describes the evolution of an infectious d...
A stochastic continuous-infection model is developed that describes the evolution of an infectious d...
This paper investigates the dynamics of infectious diseases with a nonexponentially distributed infe...
Some mathematical methods for formulation and numerical simulation of stochastic epidemic models are...
We propose a class of mathematical models for the transmission of infectious diseases in large popul...
In this project, I analyze a mathematical model for the spread of an epidemic using techniques from ...
A Markov chain individual-based model for virus diffusion is investigated. Both the virus growth wit...
This study is one of the few that has dwell on the application of Markov Chain in modeling infectiou...
abstract: Mathematical modeling of infectious diseases can help public health officials to make deci...
Epidemics are often modeled using non-linear dynamical systems observed through partial and noisy da...
Epidemics are often modeled using non-linear dynamical systems observed through partial and noisy da...