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Random Modelling of Contagious Diseases

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Abstract

Modelling contagious diseases needs to include a mechanistic knowledge about contacts between hosts and pathogens as specific as possible, e.g., by incorporating in the model information about social networks through which the disease spreads. The unknown part concerning the contact mechanism can be modelled using a stochastic approach. For that purpose, we revisit SIR models by introducing first a microscopic stochastic version of the contacts between individuals of different populations (namely Susceptible, Infective and Recovering), then by adding a random perturbation in the vicinity of the endemic fixed point of the SIR model and eventually by introducing the definition of various types of random social networks. We propose as example of application to contagious diseases the HIV, and we show that a micro-simulation of individual based modelling (IBM) type can reproduce the current stable incidence of the HIV epidemic in a population of HIV-positive men having sex with men (MSM).

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Fig. 12
figure 12

Diagram describing the different status an individual male single or in couple having sex with other men (MSM) could successively go through during HIV spread in a MSM population

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Demongeot, J., Hansen, O., Hessami, H. et al. Random Modelling of Contagious Diseases. Acta Biotheor 61, 141–172 (2013). https://doi.org/10.1007/s10441-013-9176-6

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