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Dataset on infant mortality rates in Brazil.
Souto, Gabriel; Miloski, Matheus; Cardoso, Carlos Leonardo Souza; Kreischer, Vinicius; Paixão, Balthazar; Ribeiro, Victor de Paula Dornellas; Gritz, Raquel; Carraro, Lucas; Cruz, Sérgio Ricardo de Borba; Bonifácio, Carmen Lúcia Corrêa; Saldanha, Raphael de Freitas; Zirondi, Leandro; Alencar, Gizelton Pereira; Alves, Ariane Camilo Pinheiro; Neto, Nelson Niero; Salles, Rebecca; Lima, Jefferson da Costa; Pedroso, Marcel.
Afiliación
  • Souto G; Platform of Data Science applied to Health (PCDaS), ICICT, Oswaldo Cruz Foundation, Fiocruz, Rio de Janeiro, Brazil. gabriel.souto@icict.fiocruz.br.
  • Miloski M; Federal University of Rio de Janeiro, UFRJ, Rio de Janeiro, Brazil. gabriel.souto@icict.fiocruz.br.
  • Cardoso CLS; Platform of Data Science applied to Health (PCDaS), ICICT, Oswaldo Cruz Foundation, Fiocruz, Rio de Janeiro, Brazil.
  • Kreischer V; Federal University of Rio de Janeiro, UFRJ, Rio de Janeiro, Brazil.
  • Paixão B; Platform of Data Science applied to Health (PCDaS), ICICT, Oswaldo Cruz Foundation, Fiocruz, Rio de Janeiro, Brazil.
  • Ribeiro VPD; Data Extreme Lab, National Laboratory for Scientific Computing, DEXL Lab/LNCC, Petrópolis, Brazil.
  • Gritz R; Platform of Data Science applied to Health (PCDaS), ICICT, Oswaldo Cruz Foundation, Fiocruz, Rio de Janeiro, Brazil.
  • Carraro L; National Laboratory for Scientific Computing, LNCC, Petrópolis, Brazil.
  • Cruz SRB; Platform of Data Science applied to Health (PCDaS), ICICT, Oswaldo Cruz Foundation, Fiocruz, Rio de Janeiro, Brazil.
  • Bonifácio CLC; Federal Center for Technological Education of Rio de Janeiro, CEFET/RJ, Rio de Janeiro, Brazil.
  • Saldanha RF; Platform of Data Science applied to Health (PCDaS), ICICT, Oswaldo Cruz Foundation, Fiocruz, Rio de Janeiro, Brazil.
  • Zirondi L; National Laboratory for Scientific Computing, LNCC, Petrópolis, Brazil.
  • Alencar GP; Platform of Data Science applied to Health (PCDaS), ICICT, Oswaldo Cruz Foundation, Fiocruz, Rio de Janeiro, Brazil.
  • Alves ACP; Data Extreme Lab, National Laboratory for Scientific Computing, DEXL Lab/LNCC, Petrópolis, Brazil.
  • Neto NN; Platform of Data Science applied to Health (PCDaS), ICICT, Oswaldo Cruz Foundation, Fiocruz, Rio de Janeiro, Brazil.
  • Salles R; Platform of Data Science applied to Health (PCDaS), ICICT, Oswaldo Cruz Foundation, Fiocruz, Rio de Janeiro, Brazil.
  • Lima JDC; Platform of Data Science applied to Health (PCDaS), ICICT, Oswaldo Cruz Foundation, Fiocruz, Rio de Janeiro, Brazil.
  • Pedroso M; Data Extreme Lab, National Laboratory for Scientific Computing, DEXL Lab/LNCC, Petrópolis, Brazil.
BMC Res Notes ; 16(1): 149, 2023 Jul 17.
Article en En | MEDLINE | ID: mdl-37461048
OBJECTIVES: Surveillance of infant and fetal deaths is of paramount importance in thinking about government strategies to reduce these rates, provide greater visibility of these mortality figures in the country, enable the adoption of prevention measures, as well as contribute to a better record of deaths. DATA DESCRIPTION: The dataset comprises fetal, neonatal, early neonatal, late neonatal, and perinatal Mortality Rates of Brazilian municipalities with their respective information, between 2010 to 2020, aggregated by epidemiological week.
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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Mortalidad Infantil / Muerte Fetal Límite: Female / Humans / Infant / Newborn / Pregnancy País/Región como asunto: America do sul / Brasil Idioma: En Revista: BMC Res Notes Año: 2023 Tipo del documento: Article País de afiliación: Brasil Pais de publicación: Reino Unido
Texto completo
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XML
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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Mortalidad Infantil / Muerte Fetal Límite: Female / Humans / Infant / Newborn / Pregnancy País/Región como asunto: America do sul / Brasil Idioma: En Revista: BMC Res Notes Año: 2023 Tipo del documento: Article País de afiliación: Brasil Pais de publicación: Reino Unido