Open AccessA Fog Computing Simulation Approach Adopting the Implementation Science and IoT Wearable Devices to Support Predictions in Healthcare Environments
Author(s) -
Thiago Goldoni Thomé,
Victor Ströele,
Mário A. R. Dantas,
Hélady Sanders-Pinheiro
Publication year - 2021
Language(s) - English
Resource type - Conference proceedings
DOI - 10.5753/sbsi.2021.15373
Subject(s) - wearable computer , computer science , internet of things , isolation (microbiology) , health care , covid-19 , human–computer interaction , risk analysis (engineering) , data science , computer security , embedded system , medicine , disease , pathology , infectious disease (medical specialty) , microbiology and biotechnology , economics , biology , economic growth
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%.