The large population asymptotics of a spatial epidemic model is studied through the representation of the process as a projection of a higher dimensional Poisson processes. The density process (In(t)) of infected individuals at time t converges to a deterministic process (I(t)). Moreover, there exists a Gaussian process V such that [radical sign]n(In - I) converges to V in the sense of Schwarz distributions. The process In(t) can be used to model focus expansion experiments in phytopathology.Poisson point process Epidemic model S-I-R model Predictable sets, Projection method Schwarz distributions
International audienceWe study epidemic models where the infectivity of each individual is a random ...
AbstractBy means of the law of large numbers and the central limit theorem, we compare the spatial e...
This paper is concerned with a stochastic model for the spread of an epidemic among a population of ...
AbstractThe large population asymptotics of a spatial epidemic model is studied through the represen...
Hydrodynamical limits of a spatial epidemic model are studied through the representation of the proc...
Hydrodynamical limits of a spatial epidemic model are studied through the representation of the proc...
This paper is concerned with the approximation of early stages of epidemic processes by branching pr...
Dans cette thèse, nous étudions un modèle épidémique spatial stochastique où les individus sont cara...
International audienceThis paper is focused on SIS (Susceptible-Infected-Susceptible) epidemic dynam...
We consider a stochastic SIS model for the spread of an epidemic amongst a population of n individua...
International audienceWe consider an individual-based SIR stochastic epidemic model in continuous sp...
We calculate both the exponential and prefactor contributions in a WKB approximation of the master e...
25 pages, 10 figuresAmong various mathematical frameworks, multidimensional continuous-time Markov j...
The spread of an epidemic process is considered in the context of a spatial SIR stochastic model tha...
This paper considers applications of branching processes to a model for the spread of an SIR (suscep...
International audienceWe study epidemic models where the infectivity of each individual is a random ...
AbstractBy means of the law of large numbers and the central limit theorem, we compare the spatial e...
This paper is concerned with a stochastic model for the spread of an epidemic among a population of ...
AbstractThe large population asymptotics of a spatial epidemic model is studied through the represen...
Hydrodynamical limits of a spatial epidemic model are studied through the representation of the proc...
Hydrodynamical limits of a spatial epidemic model are studied through the representation of the proc...
This paper is concerned with the approximation of early stages of epidemic processes by branching pr...
Dans cette thèse, nous étudions un modèle épidémique spatial stochastique où les individus sont cara...
International audienceThis paper is focused on SIS (Susceptible-Infected-Susceptible) epidemic dynam...
We consider a stochastic SIS model for the spread of an epidemic amongst a population of n individua...
International audienceWe consider an individual-based SIR stochastic epidemic model in continuous sp...
We calculate both the exponential and prefactor contributions in a WKB approximation of the master e...
25 pages, 10 figuresAmong various mathematical frameworks, multidimensional continuous-time Markov j...
The spread of an epidemic process is considered in the context of a spatial SIR stochastic model tha...
This paper considers applications of branching processes to a model for the spread of an SIR (suscep...
International audienceWe study epidemic models where the infectivity of each individual is a random ...
AbstractBy means of the law of large numbers and the central limit theorem, we compare the spatial e...
This paper is concerned with a stochastic model for the spread of an epidemic among a population of ...