Filtros : "Financiamento C4AI" "International Journal of Environmental Research and Public Health" "ICMC" Removidos: "Universidade Federal de Sergipe (UFS)" "Nova Caledonia" Limpar

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  • Source: International Journal of Environmental Research and Public Health. Unidade: ICMC

    Subjects: INTELIGÊNCIA ARTIFICIAL, COVID-19, APRENDIZADO COMPUTACIONAL

    Acesso à fonteDOIHow to cite
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    • ABNT

      SILVA, Thiago Christiano et al. Analysis of the effectiveness of public health measures on COVID-19 transmission. International Journal of Environmental Research and Public Health, v. 20, n. 18, p. 1-19, 2023Tradução . . Disponível em: https://doi.org/10.3390/ijerph20186758. Acesso em: 31 maio 2024.
    • APA

      Silva, T. C., Anghinoni, L., Chagas, C. P. das, Zhao, L., & Tabak, B. M. (2023). Analysis of the effectiveness of public health measures on COVID-19 transmission. International Journal of Environmental Research and Public Health, 20( 18), 1-19. doi:10.3390/ijerph20186758
    • NLM

      Silva TC, Anghinoni L, Chagas CP das, Zhao L, Tabak BM. Analysis of the effectiveness of public health measures on COVID-19 transmission [Internet]. International Journal of Environmental Research and Public Health. 2023 ; 20( 18): 1-19.[citado 2024 maio 31 ] Available from: https://doi.org/10.3390/ijerph20186758
    • Vancouver

      Silva TC, Anghinoni L, Chagas CP das, Zhao L, Tabak BM. Analysis of the effectiveness of public health measures on COVID-19 transmission [Internet]. International Journal of Environmental Research and Public Health. 2023 ; 20( 18): 1-19.[citado 2024 maio 31 ] Available from: https://doi.org/10.3390/ijerph20186758

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