Spatial and non - spatial stochastic models for immune response by Rinaldo
نویسندگان
چکیده
We propose both spatial and non-spatial stochastic models for pathogen dynamics in the presence of an immune response. One of our spatial models shows that, at least in theory, a pathogen may escape the immune system thanks to its high mutation probability alone. While one of our non-spatial models also exhibits this behavior, another behaves quite differently from the corresponding spatial model.
منابع مشابه
Spatial and non-spatial stochastic models for immune response
We propose both spatial and non-spatial stochastic models for pathogen dynamics in the presence of an immune response. One of our spatial models shows that, at least in theory, a pathogen may escape the immune system thanks to its high mutation probability alone. While one of our non-spatial models also exhibits this behavior, another behaves quite differently from the corresponding spatial model.
متن کامل1 3 Ju l 2 00 6 Spatial and non - spatial stochastic models for immune response
We propose both spatial and non-spatial stochastic models for pathogen dynamics in the presence of an immune response. One of our spatial models shows that, at least in theory, a pathogen may escape the immune system thanks to its high mutation probability alone. While one of our non-spatial models also exhibits this behavior, another behaves quite differently from the corresponding spatial model.
متن کاملA ug 2 00 6 Spatial and non - spatial stochastic models for immune response
We propose both spatial and non-spatial stochastic models for pathogen dynamics in the presence of an immune response. One of our spatial models shows that, at least in theory, a pathogen may escape the immune system thanks to its high mutation probability alone. While one of our non-spatial models also exhibits this behavior, another behaves quite differently from the corresponding spatial model.
متن کاملA comparison of algorithms for maximum likelihood estimation of Spatial GLM models
In spatial generalized linear mixed models, spatial correlation is assumed by adding normal latent variables to the model. In these models because of the non-Gaussian spatial response and the presence of latent variables the likelihood function cannot usually be given in a closed form, thus the maximum likelihood approach is very challenging. The main purpose of this paper is to introduce two n...
متن کاملOn the Role of Spatial Aggregation in the Extinction of a Species
We compare two spatial stochastic models. The first, introduced by Schinazi (2005), shows that spatial aggregation may cause the extinction of a species in catastrophic times. The second shows that, for a certain range of parameters, spatial aggregation may help the survival of a species in non catastrophic times. Mathematics Subject Classification (2000). 60K35, 92B05.
متن کامل