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Filtros : "Parro, V. C" Limpar

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  • Artigo de periodico

    Time of day is associated with federal highway accidents in Brazil (2026)

    Parro, V. C ; Moreno, Claudia Roberta de Castro ; Folkard, S ; Cardoso, Lucas Buk ; Gueter, Daniel Dalla Vecchia ; Mesquita, Pedro G. J

    Source: Brazilian Journal of Medical and Biological Research. Unidade: FSP

    Subjects: ACIDENTES DE TRÂNSITO, RODOVIAS FEDERAIS, RITMO CIRCADIANO, FADIGA (MANIFESTAÇÕES NEUROLÓGICAS), SEGURANÇA VEICULAR

    PrivadoDOIHow to cite
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    • ABNT

      PARRO, V. C et al. Time of day is associated with federal highway accidents in Brazil. Brazilian Journal of Medical and Biological Research, v. 59, 2026Tradução . . Disponível em: https://repositorio.usp.br/directbitstream/fd0c7fa6-5c76-4d5e-ab5c-5a6afa7efc7c/HSO_02_2026.pdf. Acesso em: 30 abr. 2026.

    • APA

      Parro, V. C., Moreno, C. R. de C., Folkard, S., Cardoso, L. B., Gueter, D. D. V., & Mesquita, P. G. J. (2026). Time of day is associated with federal highway accidents in Brazil. Brazilian Journal of Medical and Biological Research, 59. doi:10.1590/1414-431X2025e14840

    • NLM

      Parro VC, Moreno CR de C, Folkard S, Cardoso LB, Gueter DDV, Mesquita PGJ. Time of day is associated with federal highway accidents in Brazil [Internet]. Brazilian Journal of Medical and Biological Research. 2026 ;59[citado 2026 abr. 30 ] Available from: https://repositorio.usp.br/directbitstream/fd0c7fa6-5c76-4d5e-ab5c-5a6afa7efc7c/HSO_02_2026.pdf

    • Vancouver

      Parro VC, Moreno CR de C, Folkard S, Cardoso LB, Gueter DDV, Mesquita PGJ. Time of day is associated with federal highway accidents in Brazil [Internet]. Brazilian Journal of Medical and Biological Research. 2026 ;59[citado 2026 abr. 30 ] Available from: https://repositorio.usp.br/directbitstream/fd0c7fa6-5c76-4d5e-ab5c-5a6afa7efc7c/HSO_02_2026.pdf

  • Artigo de periodico

    Predicting COVID-19 in very large countries: The case of Brazil (2021)

    Parro, V. C; Lafetá, M. L. M; Pait, Felipe Miguel ; Ipólito, F. B; Toporcov, Tatiana Natasha

    Source: PLoS One. Unidades: EP, FSP

    Subjects: COVID-19, SISTEMA ÚNICO DE SAÚDE, POPULAÇÃO, DISTRIBUIÇÃO ESPACIAL, BRASIL

    Versão PublicadaAcesso à fonteDOIHow to cite
    A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas

    • ABNT

      PARRO, V. C et al. Predicting COVID-19 in very large countries: The case of Brazil. PLoS One, v. 16, n. 7, p. art. e0253146 [15], 2021Tradução . . Disponível em: https://doi.org/10.1371/journal.pone.0253146. Acesso em: 30 abr. 2026.

    • APA

      Parro, V. C., Lafetá, M. L. M., Pait, F. M., Ipólito, F. B., & Toporcov, T. N. (2021). Predicting COVID-19 in very large countries: The case of Brazil. PLoS One, 16( 7), art. e0253146 [15]. doi:10.1371/journal.pone.0253146

    • NLM

      Parro VC, Lafetá MLM, Pait FM, Ipólito FB, Toporcov TN. Predicting COVID-19 in very large countries: The case of Brazil [Internet]. PLoS One. 2021 ;16( 7): art. e0253146 [15].[citado 2026 abr. 30 ] Available from: https://doi.org/10.1371/journal.pone.0253146

    • Vancouver

      Parro VC, Lafetá MLM, Pait FM, Ipólito FB, Toporcov TN. Predicting COVID-19 in very large countries: The case of Brazil [Internet]. PLoS One. 2021 ;16( 7): art. e0253146 [15].[citado 2026 abr. 30 ] Available from: https://doi.org/10.1371/journal.pone.0253146
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