2022-07-122022-07-122022-04-30TEIXEIRA, Edyvana Gabriela da Silva. Comparação entre os métodos de Runge-Kutta e séries de Taylor para modelagem da dinâmica do HIV/AIDS em Castanhal-PA. 2022. Trabalho de Curso (Licenciatura em Matemática) – Faculdade de Matemática, Campus Universitário de Castanhal, Universidade Federal do Pará, Castanhal, 2022. Disponível em: https://bdm.ufpa.br:8443/jspui/handle/prefix/4191. Acesso em:.https://bdm.ufpa.br/handle/prefix/4191Acquired Immune Deficiency Syndrome (AIDS) was first found in the United States in 1981, which was characterized by a deterioration of the immune system. In 1983, scientists from the Institut Pasteur, France, and the National Institute of Health, USA, showed that a virus was the cause of AIDS, which was then called the human immunodeficiency virus (HIV). The HIV/AIDS has an increasing number of infectious each year in the city of Castanhal, in this sense we chose to analyze the study of cases of infected from real data of HIV/AIDS made available by CEADIC/Castanhal-PA, between 2000 and 2013, this work proposes through the deterministic epidemiological model SI (susceptible, infected), model and solve, through the numerical methods of Taylor Series and Runge-Kutta, both of 2nd order, analyze the convergence of the proposed numerical solutions and calculate their predictive estimates, both infected and susceptible in the municipality of Castanhal. With the analyses, we verified that the numerical solutions are close to the real data of infected and susceptible people, thus we are facing the validation of the application of the deterministic epidemiological model SI (susceptible, infected) when solved through both proposed numerical methodologies (Taylor Series and RungeKutta)Acesso AbertoBiomatemáticaEpidemiologiaAIDS (Doença)Série de TaylorSérie de Runge-KuttaBiomathematicsEpidemiologyAIDS (Disease)Taylor SeriesRunge-Kutta SeriesCNPQ::CIENCIAS EXATAS E DA TERRATrabalho de Curso - Graduação - Monografia