Abstract
This work aims to simulate the spread of leprosy in Juiz de Fora using the SIR model and considering some of its pathological aspects. SIR models divide the studied population into compartments in relation to the disease, in which S, I and R compartments refer to the groups of susceptible, infected and recovered individuals, respectively. The model was solved computationally by a stochastic approach using the Gillespie algorithm. Then, the results obtained by the model were validated using the public health records database of Juiz de Fora.
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Clemente Varella, V., Mota Freitas Matos, A., Couto Teixeira, H., da Conceição Oliveira Coelho, A., dos Santos, R. W., & Lobosco, M. (2018). A Stochastic Model to Simulate the Spread of Leprosy in Juiz de Fora. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 10862 LNCS, pp. 559–566). Springer Verlag. https://doi.org/10.1007/978-3-319-93713-7_51
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