Uma sugestão de modelagem no ensino básico para a COVID-19 em Goiás

Detalhes bibliográficos
Ano de defesa: 2021
Autor(a) principal: Valle, Claudio Prado Pereira lattes
Orientador(a): Lourenço, Kélem Gomes lattes
Banca de defesa: Lourenço, Kélem Gomes, Lemes, Max Valério, Silva, Sunamita Souza
Tipo de documento: Dissertação
Tipo de acesso: Acesso aberto
Idioma: por
Instituição de defesa: Universidade Federal de Goiás
Programa de Pós-Graduação: PROFMAT - Programa de Pós-graduação em Matemática em Rede Nacional - Sociedade Brasileira de Matemática (IME)
Departamento: Instituto de Matemática e Estatística - IME (RG)
País: Brasil
Palavras-chave em Português:
Palavras-chave em Inglês:
Área do conhecimento CNPq:
Link de acesso: http://repositorio.bc.ufg.br/tede/handle/tede/11867
Resumo: The central objective of that quest was to use mathematical modeling to interpret the propagation of COVID-19 in the state of Goiás, as a resource for the learning teaching process. The inquiry began with intense research on the theme both in its biological aspect (epidemiology) and in the aspect of mathematical modeling. As the search is a suggestion for the application of mathematical modeling in the classroom the entire sequence of actions described below should be shared between student and teacher. Next, a survey was made, with the State Department of Health of the state of Goiás, of the data of propagation of daily cases of contamination by COVID-19. These data, after being presented, obtained the moving average of the cases. With these numbers, after the objective selection of some data, the dispersion plot was obtained. With the glimpse of dispersion, three mathematical models (linear, polynomial and exponential) are proposed to verify, which one, best adapts. In this journey, the student is expected to acquire solid knowledge about mathematical functions and their graphs, percentages and epidemiology. It also leads the student to know the software "GeoGebra" and finally discuss a pandemic, in particular COVID-19, discovering its causes, its evolution and also its prevention.