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Diagnosis methods for schistosomiasis: finding the required sensitivity

Grant number: 19/25620-8
Support type:Research Grants - Visiting Researcher Grant - International
Duration: January 15, 2021 - February 04, 2021
Field of knowledge:Physical Sciences and Mathematics - Mathematics - Applied Mathematics
Principal researcher:Hyun Mo Yang
Grantee:Hyun Mo Yang
Visiting researcher: Seyed Moghadas
Visiting researcher institution: York University, Canada
Home Institution: Instituto de Matemática, Estatística e Computação Científica (IMECC). Universidade Estadual de Campinas (UNICAMP). Campinas , SP, Brazil

Abstract

Schistosomiasis is a macro-parasite infection, generated by a trematode from genus Schistosoma that affects around 200 millions of individuals in the world. In Brazil, it is endemic in 13 states, and 25 million of people live in areas of risk. The main goal of the researcher's visit is to propose, study and discuss an agent-based model in order to determine the sensitivity of a diagnosis method that is necessary to eliminate the infections in a population through the mass diagnosis and the treatment of individuals that are found to be infected. In order to do that, we will use data provided by the "Grupo de Parasitologia Biomédica" from PUC-RS, that has been studying the infections in different populations for years, to calibrate the model and computationally implement the treatment scenario. Prof. Moghadas is specialist in this kind of models, what is proved by his large list of publications on the subject, and his colaboration will be very valuable for the project. (AU)

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