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Mathematical modelling for the transmission of schistosomiasis in low-prevalence areas

Grant number: 18/24811-1
Support type:Scholarships in Brazil - Post-Doctorate
Effective date (Start): May 01, 2019
Effective date (End): April 30, 2021
Field of knowledge:Physical Sciences and Mathematics - Mathematics - Applied Mathematics
Principal researcher:Hyun Mo Yang
Grantee:Thomas Nogueira Vilches
Home Institution: Instituto de Matemática, Estatística e Computação Científica (IMECC). Universidade Estadual de Campinas (UNICAMP). Campinas , SP, Brazil


This project seeks to study the transmission of schistosomiasis in low-prevalence areas. It will be applied different modelling methods according to the problems to deal. The epidemic thresholds and the disease dynamic in the human population will be studied using ordinary differential equations, while the dynamic of the parasite aquatic stages and the dynamic of the intermediate host will be analysed through partial differential equations and agent-based modelling. It will be studied the application of control strategies based on the mass diagnosis using the detection method named Helmintex. Last, we will perform a cost-effectiveness analysis of the control efforts from a government perpective.

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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)
FORTALEZA, CARLOS MAGNO CASTELO BRANCO; GUIMARAES, RAUL BORGES; CATAO, RAFAEL DE CASTRO; FERREIRA, CLAUDIA PIO; BERG DE ALMEIDA, GABRIEL; NOGUEIRA VILCHES, THOMAS; PUGLIESI, EDMUR. The use of health geography modeling to understand early dispersion of COVID-19 in Sao Paulo, Brazil. PLoS One, v. 16, n. 1 JAN 7 2021. Web of Science Citations: 0.
VILCHES, THOMAS N.; SHOUKAT, AFFAN; FERREIRA, CLAUDIA PIO; MOGHADAS, SEYED M. Projecting influenza vaccine effectiveness: A simulation study. PLoS One, v. 15, n. 11 NOV 3 2020. Web of Science Citations: 0.

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