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Neonatal mortality rates in Brazilian municipalities: from 1996 to 2017
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 muni...
Autores principales: | , , , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7871574/ https://www.ncbi.nlm.nih.gov/pubmed/33557895 http://dx.doi.org/10.1186/s13104-020-05441-3 |
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author | 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 |
author_facet | 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 |
author_sort | Baroni, Lais |
collection | PubMed |
description | 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. |
format | Online Article Text |
id | pubmed-7871574 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-78715742021-02-09 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 BMC Res Notes Data Note 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. BioMed Central 2021-02-09 /pmc/articles/PMC7871574/ /pubmed/33557895 http://dx.doi.org/10.1186/s13104-020-05441-3 Text en © The Author(s) 2021 Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated in a credit line to the data. |
spellingShingle | Data Note 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 Neonatal mortality rates in Brazilian municipalities: from 1996 to 2017 |
title | Neonatal mortality rates in Brazilian municipalities: from 1996 to 2017 |
title_full | Neonatal mortality rates in Brazilian municipalities: from 1996 to 2017 |
title_fullStr | Neonatal mortality rates in Brazilian municipalities: from 1996 to 2017 |
title_full_unstemmed | Neonatal mortality rates in Brazilian municipalities: from 1996 to 2017 |
title_short | Neonatal mortality rates in Brazilian municipalities: from 1996 to 2017 |
title_sort | neonatal mortality rates in brazilian municipalities: from 1996 to 2017 |
topic | Data Note |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7871574/ https://www.ncbi.nlm.nih.gov/pubmed/33557895 http://dx.doi.org/10.1186/s13104-020-05441-3 |
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