A stochastic agent-based model and simulation for controlling the spread of tuberculosis in a mixed population structure

In this paper we propose a stochastic agent-based model (ABM) and simulation for controlling the TB dynamics in the population. Two population structures are proposed. The first is based on a mixed population while the second is based on a 4-level population. Simulations of the model with a mixed population structure confirm that good patient care strengthens a nation’s health system. Results obtained show that if patients are effectively treated over a long period of time, it is possible that this population may remain free of infection over a long period of time (several years) in the absence of immediate care. The results also confirm that the variation in the radius of contamination has an impact on the incidence and prevalence of the disease. The model proposed here is general and could be applied in several country without major changes.