We consider a multitype epidemic model which is a natural exten- sion of the randomised Reed-Frost epidemic model. The main result is the derivation of an asympotic Gaussian limit theorem for the ¯nal size of the epidemic. The method of proof is simpler, and more direct, than is used for similar results elsewhere in the epidemics literature. In particular, the results are specialised to epidemics upon extensions of the Bernoulli random graph
We consider a stochastic SIR (susceptible → infective → removed) epidemic model with several types o...
The variable generalised stochastic epidemic model, which allows for variability in both the suscept...
The classical Reed-Frost process is generalized by allowing infection probabilities to depend on cu...
We consider a multitype epidemic model which is a natural exten-sion of the randomised Reed-Frost ep...
We consider a multitype epidemic model which is a natural extension of the randomized Reed–Frost epi...
We consider a generalized stochastic epidemic on a Bernoulli random graph. By constructing the epide...
AbstractBy means of the law of large numbers and the central limit theorem, we compare the spatial e...
In this paper we consider a model for the spread of a stochastic SIR (Susceptible → Infectious → Rec...
We propose two variants of a stochastic epidemic model in which the disease is spread by mobile part...
We consider a Markovian SIR-type (Susceptible → Infected → Recovered) stochastic epidemic process wi...
We propose two variants of a stochastic epidemic model in which the disease is spread by mobile part...
We consider the asymptotic behavior of the final size of a multitype collective Reed-Frost process. ...
International audienceWe consider a threshold epidemic model on a clustered random graph model obtai...
The COVID-19 pandemic has dramatically demonstrated the importance of epidemic models in understandi...
Acknowledgments: This work was financed by the Labex B\'ezout (ANR-10-LABX-58) and the COCOON grant ...
We consider a stochastic SIR (susceptible → infective → removed) epidemic model with several types o...
The variable generalised stochastic epidemic model, which allows for variability in both the suscept...
The classical Reed-Frost process is generalized by allowing infection probabilities to depend on cu...
We consider a multitype epidemic model which is a natural exten-sion of the randomised Reed-Frost ep...
We consider a multitype epidemic model which is a natural extension of the randomized Reed–Frost epi...
We consider a generalized stochastic epidemic on a Bernoulli random graph. By constructing the epide...
AbstractBy means of the law of large numbers and the central limit theorem, we compare the spatial e...
In this paper we consider a model for the spread of a stochastic SIR (Susceptible → Infectious → Rec...
We propose two variants of a stochastic epidemic model in which the disease is spread by mobile part...
We consider a Markovian SIR-type (Susceptible → Infected → Recovered) stochastic epidemic process wi...
We propose two variants of a stochastic epidemic model in which the disease is spread by mobile part...
We consider the asymptotic behavior of the final size of a multitype collective Reed-Frost process. ...
International audienceWe consider a threshold epidemic model on a clustered random graph model obtai...
The COVID-19 pandemic has dramatically demonstrated the importance of epidemic models in understandi...
Acknowledgments: This work was financed by the Labex B\'ezout (ANR-10-LABX-58) and the COCOON grant ...
We consider a stochastic SIR (susceptible → infective → removed) epidemic model with several types o...
The variable generalised stochastic epidemic model, which allows for variability in both the suscept...
The classical Reed-Frost process is generalized by allowing infection probabilities to depend on cu...