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SPNeoDeath: A demographic and epidemiological dataset having infant, mother, prenatal care and childbirth data related to births and neonatal deaths in São Paulo city Brazil – 2012–2018

SPNeodeath dataset includes births and deaths of infants during the neonatal period from São Paulo city between 2012 and 2018, containing more than 1.4 million records. The dataset was created from SINASC and SIM Brazilian information systems for births and deaths respectively. SINASC comprises info...

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Autores principales: Beluzo, Carlos Eduardo, Silva, Everton, Alves, Luciana Correia, Bresan, Rodrigo Campos, Arruda, Natália Martins, Sovat, Ricardo, Carvalho, Tiago
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7419335/
https://www.ncbi.nlm.nih.gov/pubmed/32802921
http://dx.doi.org/10.1016/j.dib.2020.106093
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author Beluzo, Carlos Eduardo
Silva, Everton
Alves, Luciana Correia
Bresan, Rodrigo Campos
Arruda, Natália Martins
Sovat, Ricardo
Carvalho, Tiago
author_facet Beluzo, Carlos Eduardo
Silva, Everton
Alves, Luciana Correia
Bresan, Rodrigo Campos
Arruda, Natália Martins
Sovat, Ricardo
Carvalho, Tiago
author_sort Beluzo, Carlos Eduardo
collection PubMed
description SPNeodeath dataset includes births and deaths of infants during the neonatal period from São Paulo city between 2012 and 2018, containing more than 1.4 million records. The dataset was created from SINASC and SIM Brazilian information systems for births and deaths respectively. SINASC comprises information about demographic and epidemiological data for the infant, mother, prenatal care and childbirth. SIM collects information about mortality, and it is used as the basis for the calculation of vital statistics, such as neonatal mortality rate. SIM was only used to label records from SINASC, when the death happened until 28 days of life. SPNeodeath has 23 variables with socioeconomic maternal condition features, maternal obstetrics features, newborn related features and previous care related features, besides a label feature describing if the subject survived, or not, after 28 days of life. In order to build the dataset, DBF files were downloaded from DATASUS ftp repository and converted to CSV format, the R programming language, and then the CSV files were processed using Python programming language. Features with incorrect values and unknowing information were removed.
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spelling pubmed-74193352020-08-14 SPNeoDeath: A demographic and epidemiological dataset having infant, mother, prenatal care and childbirth data related to births and neonatal deaths in São Paulo city Brazil – 2012–2018 Beluzo, Carlos Eduardo Silva, Everton Alves, Luciana Correia Bresan, Rodrigo Campos Arruda, Natália Martins Sovat, Ricardo Carvalho, Tiago Data Brief Medicine and Dentistry SPNeodeath dataset includes births and deaths of infants during the neonatal period from São Paulo city between 2012 and 2018, containing more than 1.4 million records. The dataset was created from SINASC and SIM Brazilian information systems for births and deaths respectively. SINASC comprises information about demographic and epidemiological data for the infant, mother, prenatal care and childbirth. SIM collects information about mortality, and it is used as the basis for the calculation of vital statistics, such as neonatal mortality rate. SIM was only used to label records from SINASC, when the death happened until 28 days of life. SPNeodeath has 23 variables with socioeconomic maternal condition features, maternal obstetrics features, newborn related features and previous care related features, besides a label feature describing if the subject survived, or not, after 28 days of life. In order to build the dataset, DBF files were downloaded from DATASUS ftp repository and converted to CSV format, the R programming language, and then the CSV files were processed using Python programming language. Features with incorrect values and unknowing information were removed. Elsevier 2020-07-30 /pmc/articles/PMC7419335/ /pubmed/32802921 http://dx.doi.org/10.1016/j.dib.2020.106093 Text en © 2020 The Author(s) http://creativecommons.org/licenses/by/4.0/ This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/).
spellingShingle Medicine and Dentistry
Beluzo, Carlos Eduardo
Silva, Everton
Alves, Luciana Correia
Bresan, Rodrigo Campos
Arruda, Natália Martins
Sovat, Ricardo
Carvalho, Tiago
SPNeoDeath: A demographic and epidemiological dataset having infant, mother, prenatal care and childbirth data related to births and neonatal deaths in São Paulo city Brazil – 2012–2018
title SPNeoDeath: A demographic and epidemiological dataset having infant, mother, prenatal care and childbirth data related to births and neonatal deaths in São Paulo city Brazil – 2012–2018
title_full SPNeoDeath: A demographic and epidemiological dataset having infant, mother, prenatal care and childbirth data related to births and neonatal deaths in São Paulo city Brazil – 2012–2018
title_fullStr SPNeoDeath: A demographic and epidemiological dataset having infant, mother, prenatal care and childbirth data related to births and neonatal deaths in São Paulo city Brazil – 2012–2018
title_full_unstemmed SPNeoDeath: A demographic and epidemiological dataset having infant, mother, prenatal care and childbirth data related to births and neonatal deaths in São Paulo city Brazil – 2012–2018
title_short SPNeoDeath: A demographic and epidemiological dataset having infant, mother, prenatal care and childbirth data related to births and neonatal deaths in São Paulo city Brazil – 2012–2018
title_sort spneodeath: a demographic and epidemiological dataset having infant, mother, prenatal care and childbirth data related to births and neonatal deaths in são paulo city brazil – 2012–2018
topic Medicine and Dentistry
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7419335/
https://www.ncbi.nlm.nih.gov/pubmed/32802921
http://dx.doi.org/10.1016/j.dib.2020.106093
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