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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Main Authors: Carlos Eduardo Beluzo, Everton Silva, Luciana Correia Alves, Rodrigo Campos Bresan, Natália Martins Arruda, Ricardo Sovat, Tiago Carvalho
Format: Article
Language:English
Published: Elsevier 2020-10-01
Series:Data in Brief
Subjects:
Online Access:http://www.sciencedirect.com/science/article/pii/S2352340920309872
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author Carlos Eduardo Beluzo
Everton Silva
Luciana Correia Alves
Rodrigo Campos Bresan
Natália Martins Arruda
Ricardo Sovat
Tiago Carvalho
author_facet Carlos Eduardo Beluzo
Everton Silva
Luciana Correia Alves
Rodrigo Campos Bresan
Natália Martins Arruda
Ricardo Sovat
Tiago Carvalho
author_sort Carlos Eduardo Beluzo
collection DOAJ
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 doaj.art-ce0f880f82b0498dac7cc5cbbcbb95cd2022-12-21T23:58:00ZengElsevierData in Brief2352-34092020-10-0132106093SPNeoDeath: A demographic and epidemiological dataset having infant, mother, prenatal care and childbirth data related to births and neonatal deaths in São Paulo city Brazil – 2012–2018Carlos Eduardo Beluzo0Everton Silva1Luciana Correia Alves2Rodrigo Campos Bresan3Natália Martins Arruda4Ricardo Sovat5Tiago Carvalho6Federal Institute of São Paulo, Campinas-SP, BrazilFederal Institute of São Paulo, Campinas-SP, BrazilDepartment of Demography, University of Campinas (UNICAMP), BrazilFederal Institute of São Paulo, Campinas-SP, BrazilFederal Institute of São Paulo, Campinas-SP, BrazilFederal Institute of São Paulo, Campinas-SP, BrazilFederal Institute of São Paulo, Campinas-SP, Brazil; Corresponding author.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.http://www.sciencedirect.com/science/article/pii/S2352340920309872Neonatal mortalityNewbornMaternalBirthDeathDemographic
spellingShingle Carlos Eduardo Beluzo
Everton Silva
Luciana Correia Alves
Rodrigo Campos Bresan
Natália Martins Arruda
Ricardo Sovat
Tiago Carvalho
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
Data in Brief
Neonatal mortality
Newborn
Maternal
Birth
Death
Demographic
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 sao paulo city brazil 2012 2018
topic Neonatal mortality
Newborn
Maternal
Birth
Death
Demographic
url http://www.sciencedirect.com/science/article/pii/S2352340920309872
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