A PROBABILISTIC CELLULAR AUTOMATA TO STUDYING THE SPREADING OF PNEUMONIA IN A POPULATION

Autor(es)

Saito, Y. ; da Silva, M. A. A. ; Alves, D. ; Mondaini, RP

• Tipo de documento: Artigo Científico
• Fonte: BIOMAT 2009; v. N/A, p. 2-pg., 2010-01-01.

Resumo

A simple analytical and simulation framework to study the diffusion of pneumococci in finite population of humans is proposed, using probabilistic cellular automata. Furthermore, this epidemic spatial model permits to reproduce explicitly the interaction of two types of transmission mechanisms in terms of global and local variables, which in turn can be adjusted to simulate respectively the populational mobility and geographical neighborhood contacts. It was possible with this alternative model: 1) to observe the pneumococcal spreading through a population, 2) the study of antibiotics effects in disease's control in relation with effectiveness and percentage of individuals covered by the responsibility analyses of CCC (child care center) in dissemination process, and 3) the understanding of the relationship of hours spent in CCC and pneumococcal transmission. (AU)

• Processo FAPESP: 07/04220-4 - Processo de difusão e agregação em física biológica: doenças priônicas e passeios aleatórios com memória
• Beneficiário: Marco Antonio Alves da Silva
• Modalidade de apoio: Auxílio à Pesquisa - Regular
• Processo FAPESP: 09/09118-9 - Redução de ruído, correção de heterogeneidades e normalização da intensidade em seqüências de imagens de ressonância magnética
• Beneficiário: Yuri Saito
• Modalidade de apoio: Bolsas no Brasil - Iniciação Científica