Using symmetry to enhance the performance of agent-based epidemic models (2022)
Nakamura, Gilberto Medeiros; Souza, Alinne Cristinne Corrêa; Souza, Francisco Carlos Monteiro; Bulcão Neto, Renato de Freitas; Martinez, Alexandre Souto 
; Macedo, Alessandra Alaniz
Fonte: IEEE/ACM Transactions on Computational Biology and Bioinformatics. Unidade: FFCLRP
Assuntos: SIMETRIA, MODELOS EPIDEMIOLOGICOS, SIMULAÇÃO (ESTATÍSTICA), ALGORITMOS
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NAKAMURA, Gilberto Medeiros et al. Using symmetry to enhance the performance of agent-based epidemic models. IEEE/ACM Transactions on Computational Biology and Bioinformatics, 2022Tradução . . Disponível em: https://doi.org/10.1109/TCBB.2020.3018901. Acesso em: 23 nov. 2025.APA
Nakamura, G. M., Souza, A. C. C., Souza, F. C. M., Bulcão Neto, R. de F., Martinez, A. S., & Macedo, A. A. (2022). Using symmetry to enhance the performance of agent-based epidemic models. IEEE/ACM Transactions on Computational Biology and Bioinformatics. doi:10.1109/TCBB.2020.3018901NLM
Nakamura GM, Souza ACC, Souza FCM, Bulcão Neto R de F, Martinez AS, Macedo AA. Using symmetry to enhance the performance of agent-based epidemic models [Internet]. IEEE/ACM Transactions on Computational Biology and Bioinformatics. 2022 ;[citado 2025 nov. 23 ] Available from: https://doi.org/10.1109/TCBB.2020.3018901Vancouver
Nakamura GM, Souza ACC, Souza FCM, Bulcão Neto R de F, Martinez AS, Macedo AA. Using symmetry to enhance the performance of agent-based epidemic models [Internet]. IEEE/ACM Transactions on Computational Biology and Bioinformatics. 2022 ;[citado 2025 nov. 23 ] Available from: https://doi.org/10.1109/TCBB.2020.3018901
