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(Referência obtida automaticamente do Web of Science, por meio da informação sobre o financiamento pela FAPESP e o número do processo correspondente, incluída na publicação pelos autores.)

Dengue fever spreading based on probabilistic cellular automata with two lattices

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Autor(es):
Pereira, F. M. M. [1] ; Schimit, P. H. T. [1]
Número total de Autores: 2
Afiliação do(s) autor(es):
[1] Univ Nove Julho, Informat & Knowledge Management Grad Program, Rua Vergueiro 235-249, BR-05001001 Sao Paulo, SP - Brazil
Número total de Afiliações: 1
Tipo de documento: Artigo Científico
Fonte: PHYSICA A-STATISTICAL MECHANICS AND ITS APPLICATIONS; v. 499, p. 75-87, JUN 1 2018.
Citações Web of Science: 3
Resumo

Modeling and simulation of mosquito-borne diseases have gained attention due to a growing incidence in tropical countries in the past few years. Here, we study the dengue spreading in a population modeled by cellular automata, where there are two lattices to model the human-mosquito interaction: one lattice for human individuals, and one lattice for mosquitoes in order to enable different dynamics in populations. The disease considered is the dengue fever with one, two or three different serotypes coexisting in population. Although many regions exhibit the incidence of only one serotype, here we set a complete framework to also study the occurrence of two and three serotypes at the same time in a population. Furthermore, the flexibility of the model allows its use to other mosquito-borne diseases, like chikungunya, yellow fever and malaria. An approximation of the cellular automata is proposed in terms of ordinary differential equations; the spreading of mosquitoes is studied and the influence of some model parameters are analyzed with numerical simulations. Finally, a method to combat dengue spreading is simulated based on a reduction of mosquito birth and mosquito bites in population. (C) 2018 Elsevier B.V. All rights reserved. (AU)

Processo FAPESP: 17/12671-8 - Laboratório de dinâmicas populacionais
Beneficiário:Pedro Henrique Triguis Schimit
Linha de fomento: Auxílio à Pesquisa - Regular