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Neonatal mortality rates in Brazilian municipalities: from 1996 to 2017.
Baroni, Lais; Salles, Rebecca; Salles, Samella; Pedroso, Marcel; Lima, Jefferson; Morais, Igor; Carraro, Lucas; Saldanha, Raphael de Freitas; Sousa, Carlos; Cardoso, Carlos; Paixño, Balthazar; Cruz, Sérgio; Ogasawara, Eduardo; Boccolini, Patrícia de Morais Mello; Boccolini, Cristiano Siqueira.
Afiliação
  • Baroni L; Federal Center for Technological Education of Rio de Janeiro, CEFET/RJ, Rio de Janeiro, Brazil.
  • Salles R; Federal Center for Technological Education of Rio de Janeiro, CEFET/RJ, Rio de Janeiro, Brazil.
  • Salles S; Platform of Data Science Applied to Health (PCDaS), ICICT, Oswaldo Cruz Foundation, Fiocruz, Rio de Janeiro, Brazil.
  • Pedroso M; Federal Institute of Rio de Janeiro, IFRJ, Rio de Janeiro, Brazil.
  • Lima J; Platform of Data Science Applied to Health (PCDaS), ICICT, Oswaldo Cruz Foundation, Fiocruz, Rio de Janeiro, Brazil.
  • Morais I; Platform of Data Science Applied to Health (PCDaS), ICICT, Oswaldo Cruz Foundation, Fiocruz, Rio de Janeiro, Brazil.
  • Carraro L; 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.
  • Sousa C; Platform of Data Science Applied to Health (PCDaS), ICICT, Oswaldo Cruz Foundation, Fiocruz, Rio de Janeiro, Brazil.
  • Cardoso C; Platform of Data Science Applied to Health (PCDaS), ICICT, Oswaldo Cruz Foundation, Fiocruz, Rio de Janeiro, Brazil.
  • Paixño B; Platform of Data Science Applied to Health (PCDaS), ICICT, Oswaldo Cruz Foundation, Fiocruz, Rio de Janeiro, Brazil.
  • Cruz S; Platform of Data Science Applied to Health (PCDaS), ICICT, Oswaldo Cruz Foundation, Fiocruz, Rio de Janeiro, Brazil.
  • Ogasawara E; Federal Center for Technological Education of Rio de Janeiro, CEFET/RJ, Rio de Janeiro, Brazil.
  • Boccolini PMM; Platform of Data Science Applied to Health (PCDaS), ICICT, Oswaldo Cruz Foundation, Fiocruz, Rio de Janeiro, Brazil.
  • Boccolini CS; Platform of Data Science Applied to Health (PCDaS), ICICT, Oswaldo Cruz Foundation, Fiocruz, Rio de Janeiro, Brazil.
BMC Res Notes ; 14(1): 55, 2021 Feb 09.
Article em En | MEDLINE | ID: mdl-33557895
ABSTRACT

OBJECTIVES:

Neonatal mortality is a global public health problem, and the efforts to reduce child mortality is one of the goals of the 2030 Agenda for Sustainable Development, launched in 2015 by the United Nations. The availability of historical neonatal mortality rates (NMR) data in Brazilian municipalities is crucial to evaluate trends at local, regional and national level, identifying gaps and vulnerable territories. Therefore, the objective of this article is to offer an integrated dataset containing monthly data in a historical series from 1996 to 2017 with information on all births, neonatal deaths, and NMR (total, early and late components) enriched with information related to the municipality. DATA DESCRIPTION It is a dataset of historical data with information on the number of births, the number of neonatal deaths, the neonatal mortality rate (including early and late), and geographic information for each month (between January 1996 and December 2017) and Brazilian municipality.
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Texto completo: 1 Base de dados: MEDLINE Assunto principal: Mortalidade Infantil / Mortalidade da Criança Idioma: En Ano de publicação: 2021 Tipo de documento: Article

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Mortalidade Infantil / Mortalidade da Criança Idioma: En Ano de publicação: 2021 Tipo de documento: Article