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

• Thiago Goldoni Thomé Universidade Federal de Juiz de Fora http://orcid.org/0000-0002-4984-6379
• Victor Ströele Universidade Federal de Juiz de Fora http://orcid.org/0000-0001-6296-8605
• Mario A. R Dantas Universidade Federal de Juiz de Fora https://orcid.org/0000-0002-2312-7042
• Hélady Pinheiro Universidade Federal de Juiz de Fora https://orcid.org/0000-0001-8603-1331

DOI: https://doi.org/10.5753/sbsi.2021.15373

Resumo

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

Referências

Chu, D. K., Akl, E. A., Duda, S., Solo, K., Yaacoub, S., e Schünemann, H. J. (2020). Physical distancing, face masks, and eye protection to prevent person-to-person transmission of sars-cov-2 and covid-19: a systematic review and meta-analysis. The Lancet, 395:1973–1987.

Lauer, S. A., Grantz, K. H., Bi, Q., Jones, F. K., Zheng, Q., Meredith, H. R., Azman, A. S.,Reich, N. G., e Lessler, J. (2020). The incubation period of coronavirus disease 2019 (covid-19) from publicly reported confirmed cases: Estimation and application. Annals of Internal Medicine, 172,:577–582.

Liu, Y., Yan, L. M., Wan, L., Xiang, T. X., Le, A., Liu, J. M., Peiris, M., Poon, L., e Zhang, W. (2020). Viral dynamics in mild and severe cases of covid-19. Lancet Infect Dis, 656–657.

NEC (2007). Siafu an open source context simulator. http://siafusimulator.org/ (accessed on 07/2020).

NEC (2020). Sx-aurora tsubasa. https://www.nec.com/en/global/solutions/hpc/sx/vectorengine.html/ (accessed on 07/2020).

Salah, F. A., Desprez, F., and Lebre, A. (2020). An overview of service placement problemin fog and edge computing. Association for Computing Machinery, 53.

Thomé, T. G., Ströele, V., Pinheiro, H., e Dantas, M. A. R. (2021). A fog computing simulation approach adopting the implementation science and iot wearable devices to support predictions in healthcare environments. Springer, Advanced Information Networkingand Applications, 226:298-309.