TY - ECHAP
KW - leprosy
KW - Computational modelling
KW - Epidemiology
KW - Compartmental model
KW - SIR model
KW - Gillespie’s algorithm
KW - SSA algorithm
KW - Brazil
AU - Clemente Varella V
AU - Mota Freitas Matos A
AU - Couto Teixeira H
AU - Coelho ACO
AU - Weber dos Santos R
AU - Lobosco M
AB - <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>

CY - Cham
DO - 10.1007/978-3-319-93713-710.1007/978-3-319-93713-7_51
LA - eng
N2 - <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>

PB - Springer International Publishing
PP - Cham
PY - 2018
SN - 978-3-319-93712-0/0302-9743
SP - 559
EP - 566
TI - A stochastic model to simulate the spread of leprosy in Juiz de Fora
ER -