01330nas a2200289   4500000000100000008004100001260004400042653001200086653002800098653001700126653002400143653001400167653002800181653001800209653001100227100002300238700002500261700002100286700001500307700002300322700001400345245007300359300001200432520056000444022001401004020002201018       2018                            d  bSpringer International PublishingaCham10aleprosy10aComputational modelling10aEpidemiology10aCompartmental model10aSIR model10aGillespie’s algorithm10aSSA algorithm10aBrazil1 aClemente Varella V1 aMota Freitas Matos A1 aCouto Teixeira H1 aCoelho ACO1 aWeber dos Santos R1 aLobosco M00aA stochastic model to simulate the spread of leprosy in Juiz de Fora  a559-5663 a<p>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.</p>
  a0302-9743  a978-3-319-93712-0