Costa, José ViltonAlves, Jordão de Lima2022-12-222022-12-222022-12-08ALVES, Jordão de Lima. Simulações de cenários epidemiológicos utilizando Modelos Baseados em Agentes. Orientador: José Vilton Costa. 2022. 41 f. Trabalho de Conclusão de Curso (Graduação em Ciências Atuariais) – Departamento de Demografia e Ciências Atuariais, Universidade Federal do Rio Grande do Norte, Natal, 2022.https://repositorio.ufrn.br/handle/123456789/50489In the field of supplementary health, the decision-making process needs to be increasingly innovative to adapt to the new realities. The epidemiological study process can provide valuable information to support the decision-making process in the health area. The present work aims to develop a simulator to assist in decision-making in the epidemiological and care area, exploring the computational capacity to generate several simulations, based on the Monte Carlo Theorem. For this, an algorithm was developed that, combining the Agent-Based Model technique applied to the SEIR model methodology, simulates several epidemiological scenarios in order to analyze the behavior of a fictitious population. In addition to creating the simulator algorithm, an application was also developed to assist in the analysis of simulated epidemiological scenarios and facilitate its interaction with the user, using the R programming language in its construction. In this way, a tool was developed to help professionals in the area to create simulations in order to supplement their decision-making processes and expense estimates.Attribution-NonCommercial 3.0 Brazilhttp://creativecommons.org/licenses/by-nc/3.0/br/SEIRModelos Baseados em AgentesEpidemiologiaMonte CarloAgent-Based ModelsEpidemiologybachelorThesisCNPQ::CIENCIAS EXATAS E DA TERRA::PROBABILIDADE E ESTATISTICA::ESTATISTICA::ANALISE DE DADOSCNPQ::OUTROS::CIENCIAS ATUARIAISCNPQ::CIENCIAS DA SAUDE::SAUDE COLETIVA::EPIDEMIOLOGIACNPQ::CIENCIAS EXATAS E DA TERRA::PROBABILIDADE E ESTATISTICA::PROBABILIDADE E ESTATISTICA APLICADAS