Impact of network topology on the spread of infectious diseases

Autor(es)

E. R. PINTO ^[1] ; E. G. NEPOMUCENO ^[2] ; A. S. L. O. CAMPANHARO ^[3]

Afiliação do(s) autor(es)

^[1] Universidade Estadual Paulista. Instituto de Biociências. Programa de Pós-Graduação em Biometria - Brasil

^[2] Universidade de São João del-Rei. Departamento de Engenharia Elétrica - Brasil

^[3] Universidade Estadual Paulista. Instituto de Biociências. Departamento de Bioestatística - Brasil

• Tipo de documento: Artigo Científico
• Fonte: TEMA (São Carlos); v. 21, n. 1, p. 95-115, 2020-04-30.

Resumo

ABSTRACT The complex network theory constitutes a natural support for the study of a disease propagation. In this work, we present a study of an infectious disease spread with the use of this theory in combination with the Individual Based Model. More specifically, we use several complex network models widely known in the literature to verify their topological effects in the propagation of the disease. In general, complex networks with different properties result in curves of infected individuals with different behaviors, and thus, the growth of a given disease is highly sensitive to the network model used. The disease eradication is observed when the vaccination strategy of 10% of the population is used in combination with the random, small world or modular network models, which opens an important space for control actions that focus on changing the topology of a complex network as a form of reduction or even elimination of an infectious disease. (AU)

• Processo FAPESP: 18/25358-9 - Uso de redes complexas na detecção automática, no diagnóstico e na classificação da Doença de Alzheimer
• Beneficiário: Andriana Susana Lopes de Oliveira Campanharo
• Modalidade de apoio: Auxílio à Pesquisa - Regular