We consider a model of dynamics of the immune system. The model is based on three factors: occasional boosting and continuous waning of immunity and a general description of the period between subsequent boosting events. The antibody concentration changes according to a non-Markovian process. The density of the distribution of this concentration satisfies some partial differential equation with an integral boundary condition. We check that this system generates a stochastic semigroup and we study the long-time behaviour of this semigroup. In particular we prove a theorem on its asymptotic stability.Comment: 25 pages, 2 figure
A stochastic SIR epidemic dynamic model with distributed-time-delay, for a two-scale dynamic populat...
We develop a mathematical model for the disease which can be transmitted via vector and through bloo...
We propose here a stochastic model for the CD8+ T lymphocyte dynamics on the long time scale of the ...
In this paper we study interactions between stochasticity and time delays in the dynamics of immune ...
The aim is to describe the distribution of immune status (as captured by antibody level) on the basi...
The aim is to describe the distribution of immune status (as captured by antibody level) on the basi...
The aim is to describe the distribution of immune status (as captured by antibody level) on the basi...
pre-printFor many infectious diseases, immunity wanes over time. The majority of SIRS models assume ...
When an infectious disease propagates throughout society, the incidence function may rise at first d...
We investigate the temporal evolution of the distribution of immunities in a population, which is de...
We investigate the temporal evolution of the distribution of immunities in a population, which is de...
Endemic infectious diseases constantly circulate in human populations, with prevalence fluctuating a...
In this thesis we extended a deterministic model for the Human Immune response, consisting of a non-...
This paper proposes and analyzes a discrete-time deterministic SIR model with information dependent ...
We study an individual-based stochastic epidemic model in which infected individuals become suscepti...
A stochastic SIR epidemic dynamic model with distributed-time-delay, for a two-scale dynamic populat...
We develop a mathematical model for the disease which can be transmitted via vector and through bloo...
We propose here a stochastic model for the CD8+ T lymphocyte dynamics on the long time scale of the ...
In this paper we study interactions between stochasticity and time delays in the dynamics of immune ...
The aim is to describe the distribution of immune status (as captured by antibody level) on the basi...
The aim is to describe the distribution of immune status (as captured by antibody level) on the basi...
The aim is to describe the distribution of immune status (as captured by antibody level) on the basi...
pre-printFor many infectious diseases, immunity wanes over time. The majority of SIRS models assume ...
When an infectious disease propagates throughout society, the incidence function may rise at first d...
We investigate the temporal evolution of the distribution of immunities in a population, which is de...
We investigate the temporal evolution of the distribution of immunities in a population, which is de...
Endemic infectious diseases constantly circulate in human populations, with prevalence fluctuating a...
In this thesis we extended a deterministic model for the Human Immune response, consisting of a non-...
This paper proposes and analyzes a discrete-time deterministic SIR model with information dependent ...
We study an individual-based stochastic epidemic model in which infected individuals become suscepti...
A stochastic SIR epidemic dynamic model with distributed-time-delay, for a two-scale dynamic populat...
We develop a mathematical model for the disease which can be transmitted via vector and through bloo...
We propose here a stochastic model for the CD8+ T lymphocyte dynamics on the long time scale of the ...