Simulation modeling of vector borne diseases with coarse and fine scale partial information

• Grant number: 17/50393-0
• Support Opportunities: Regular Research Grants
• Start date: June 01, 2018
• End date: May 31, 2020
• Field of knowledge: Interdisciplinary Subjects
• Agreement: Fonds de la Recherche Scientifique (F.R.S.- FNRS)
• Mobility Program: SPRINT - Projetos de pesquisa - Mobilidade
• Principal Investigator: Pedro Henrique Triguis Schimit
• Grantee: Pedro Henrique Triguis Schimit
• Principal researcher abroad: Sophie O. Vanwambeke
• Institution abroad: Universitè Catolique de Louvain (UCL), Belgium
• Host Institution: Universidade Nove de Julho (UNINOVE). Campus Vergueiro. São Paulo , SP, Brazil
• Associated research grant: 17/12671-8 - Laboratory of populational dynamics, AP.R

Abstract

We present a cooperation proposal between authors to submit to SPRINT-Fapesp/Appels bilatéraux de mobilité - F.R.S. - FNRS call. The project is based on modeling of vector-borne diseases, where P.H.T.S has expertise using cellular automata, complex networks and ordinary differential equations, and S.v. has expertise in acquiring, using and analysing of real data on health risks related to vector-borne diseases. In this project we focus first on the tick-borne diseases, a global issue in human and veterinary health. The objective is gathering the experiences of modeling from P.H.T.S and applied case studies from S.V. to develop original concepts and methods for the simulation and modelling of vector-borne diseases. (AU)

Scientific publications

(References retrieved automatically from Web of Science and SciELO through information on FAPESP grants and their corresponding numbers as mentioned in the publications by the authors)

MONTEIRO, L. H. A.; GANDINI, D. M.; SCHIMIT, P. H. T.. The influence of immune individuals in disease spread evaluated by cellular automaton and genetic algorithm. COMPUTER METHODS AND PROGRAMS IN BIOMEDICINE, v. 196, NOV 2020. (17/50393-0, 17/12671-8)

VANWAMBEKE, S. O.; SCHIMIT, P. H. T.. Tick bite risk resulting from spatially heterogeneous hazard, exposure and coping capacity. ECOLOGICAL COMPLEXITY, v. 48, DEC 2021. (17/50393-0, 17/12671-8)