Sistema de Apoio ao Diagnóstico Baseado em Sintomas da COVID-19 e Biometeorologia
Resumo
A pandemia da COVID-19 tem demandado vários estudos sobre estratégias para combatê-la. Contudo, no que diz respeito à identificação de infectados, existe a possibilidade de pessoas apresentarem os sintomas sem estarem com a doença. Um dos fatores que influenciam na manifestação de sintomas, relacionados à COVID-19, são as condições climáticas. Neste trabalho, apresentamos uma arquitetura de suporte à decisão, que tem o objetivo de elucidar a influência das condições climáticas sobre os sintomas da COVID-19 e, com o apoio de videoconferências, auxiliar a colaboração para tomada de decisões no combate à pandemia. Desenvolver uma base de conhecimento, através de técnicas inteligentes, mostrou-se necessário para alcançar nosso objetivo.Referências
Aggarwal, L., Goswami, P., and Sachdeva, S. (2021). Multi-criterion intelligent decision support system for covid-19. Applied Soft Computing, 101:107056.
Babcock, S., Beverley, J., Cowell, L. G., and Smith, B. (2021). The infectious disease ontology in the age of covid-19. Journal of biomedical semantics, 12(1):1-20.
El Helou, N., Tafflet, M., Berthelot, G., Tolaini, J., Marc, A., Guillaume, M., Hausswirth, C., and Toussaint, J.-F. (2012). Impact of environmental parameters on marathon running performance. PloS one, 7(5):e37407.
Ely, M. R., Cheuvront, S. N., Roberts, W. O., and Montain, S. J. (2007). Impact of weather on marathon-running performance. Medicine and Science in Sports and Exercise, 39(3):487.
Horrocks, I., Patel-Schneider, P. F., Boley, H., Tabet, S., Grosof, B., Dean, M., et al. (2004). Swrl: A semantic web rule language combining owl and ruleml. W3C Member submission, 21(79):1-31.
Lee, M., Ohde, S., Urayama, K. Y., Takahashi, O., and Fukui, T. (2018). Weather and health symptoms. International journal of environmental research and public health, 15(8):1670.
Vihma, T. (2010). Effects of weather on the performance of marathon runners. International journal of biometeorology, 54(3):297–306.
Wachowicz, A., Małysiak-Mrozek, B., and Mrozek, D. (2019). Combining data from fitness trackers with meteorological sensor measurements for enhanced monitoring of sports performance. In International Conference on Computational Science, pages 692-705. Springer.
Wu, G., Yang, P., Xie, Y., Woodruff, H. C., Rao, X., Guiot, J., Frix, A.-N., Louis, R., Moutschen, M., Li, J., et al. (2020). Development of a clinical decision support system for severity risk prediction and triage of covid-19 patients at hospital admission: an international multicentre study. European Respiratory Journal, 56(2).
Yoshino, M. and Miyashita, R. (2007). Studies on bioclimate and weather-health forecasting in japan. GLOBAL ENVIRONMENTAL RESEARCH-ENGLISH EDITION-, 11(1):23.
Babcock, S., Beverley, J., Cowell, L. G., and Smith, B. (2021). The infectious disease ontology in the age of covid-19. Journal of biomedical semantics, 12(1):1-20.
El Helou, N., Tafflet, M., Berthelot, G., Tolaini, J., Marc, A., Guillaume, M., Hausswirth, C., and Toussaint, J.-F. (2012). Impact of environmental parameters on marathon running performance. PloS one, 7(5):e37407.
Ely, M. R., Cheuvront, S. N., Roberts, W. O., and Montain, S. J. (2007). Impact of weather on marathon-running performance. Medicine and Science in Sports and Exercise, 39(3):487.
Horrocks, I., Patel-Schneider, P. F., Boley, H., Tabet, S., Grosof, B., Dean, M., et al. (2004). Swrl: A semantic web rule language combining owl and ruleml. W3C Member submission, 21(79):1-31.
Lee, M., Ohde, S., Urayama, K. Y., Takahashi, O., and Fukui, T. (2018). Weather and health symptoms. International journal of environmental research and public health, 15(8):1670.
Vihma, T. (2010). Effects of weather on the performance of marathon runners. International journal of biometeorology, 54(3):297–306.
Wachowicz, A., Małysiak-Mrozek, B., and Mrozek, D. (2019). Combining data from fitness trackers with meteorological sensor measurements for enhanced monitoring of sports performance. In International Conference on Computational Science, pages 692-705. Springer.
Wu, G., Yang, P., Xie, Y., Woodruff, H. C., Rao, X., Guiot, J., Frix, A.-N., Louis, R., Moutschen, M., Li, J., et al. (2020). Development of a clinical decision support system for severity risk prediction and triage of covid-19 patients at hospital admission: an international multicentre study. European Respiratory Journal, 56(2).
Yoshino, M. and Miyashita, R. (2007). Studies on bioclimate and weather-health forecasting in japan. GLOBAL ENVIRONMENTAL RESEARCH-ENGLISH EDITION-, 11(1):23.
Publicado
25/04/2022
Como Citar
DA COSTA, João Pedro de S. J.; DANTAS, Mario A. R.; DAVID, José Maria N.; BRAGA, Regina M. M.; MORENO, Marcelo F.; MENEZES, Victor Stroele de Andrade; ALVES, Rian das Dores; DA SILVA, Izaque Esteves.
Sistema de Apoio ao Diagnóstico Baseado em Sintomas da COVID-19 e Biometeorologia. In: SIMPÓSIO BRASILEIRO DE SISTEMAS COLABORATIVOS (SBSC), 17. , 2022, Online.
Anais [...].
Porto Alegre: Sociedade Brasileira de Computação,
2022
.
p. 17-24.
ISSN 2326-2842.
DOI: https://doi.org/10.5753/sbsc.2022.19471.
