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Titulo IOT DEVICES IN A COOPERATIVE FOG-CLOUD CONFIGURATION TO SUPPORT PREDICTIONS IN A HEALTHCARE ENVIRONMENT Subtítulo Autor THIAGO GOLDONI THOMÉ Orientador MARIO ANTONIO RIBEIRO DANTAS Resumo With the unexpected pandemic caused by the Sars-CoV-2 virus, responsible for the Covid-19 disease, the world population faces a great challenge and several researches are underway to understand more about the virus, its way of spreading in environments, prevention methods, among others. Even in a short period, scientists and researchers obtained strongly tested recommendations to assist in the control of contamination, and some of those are the use of masks and social distancing. This study presents a simulation effort based on changes in habits and behaviors related to prevention methods and the use of wearable IoT devices for monitoring people living in environments where social isolation is complex. Thus, four scenarios with different ways of prevention and isolation are shown in this work, where the health data of the simulated agents are collected for monitoring and making predictions. Experiments carried out show that the environments in which the agents have more preventive habits and where there was isolation of infected agents obtained lower contamination rates. Palavras-Chave Internet of things, Ambient Assisted Living, Simulation, Covid-19