A Fog Computing Simulation Approach Adopting the Implementation Science and IoT Wearable Devices to Support Predictions in Healthcare Environments


In the Covid-19 pandemic, it was already possible to obtain recommendations to assist in the control of contamination. In this study, we considered the implementation science concept in a simulation effort based on changes in prevention behaviors. We also considered the use of an information system and wearable IoT devices for monitoring people in environments where social isolation is complex. We conceived four scenarios with different approaches, where health data of the simulated agents were collected for monitoring and providing predictions. Agents with more preventive habits got contamination rates of 12.11% against the worst scenario, with 77.00%.

Palavras-chave: Internet of Things, Ambient Assisted Living, Function as a Service, Fog-Cloud, Simulation, Implementation Science, Covid-19


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THOMÉ, Thiago Goldoni; STRÖELE, Victor; DANTAS, Mario A. R; PINHEIRO, Hélady. A Fog Computing Simulation Approach Adopting the Implementation Science and IoT Wearable Devices to Support Predictions in Healthcare Environments. In: CONCURSO DE TRABALHOS DE CONCLUSÃO DE CURSO EM SISTEMAS DE INFORMAÇÃO - SIMPÓSIO BRASILEIRO DE SISTEMAS DE INFORMAÇÃO (SBSI), 17. , 2021, On-line. Anais [...]. Porto Alegre: Sociedade Brasileira de Computação, 2021 . p. 178-180. DOI: https://doi.org/10.5753/sbsi.2021.15373.