Brazilian spatial, demographic, and socioeconomic data from 1996 to 2020

OBJECTIVES: We present a database on Brazilian spatial, demographic, and socioeconomic characteristics from 1996 to 2020. This database aims for integration and harmonization with epidemiological data from two major studies. It can also be a valuable database for designing and conducting various typ...

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Autores principales: Fernandes Santos Alves, Ronaldo, de Moraes Mello Boccolini, Patricia, Baroni, Lais Ribeiro, de Almeida Relvas-Brandt, Laís, de Abreu Junqueira Gritz, Raquel, Siqueira Boccolini, Cristiano
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2022
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Data Note
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9092813/
https://www.ncbi.nlm.nih.gov/pubmed/35538501
http://dx.doi.org/10.1186/s13104-022-06044-w
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author Fernandes Santos Alves, Ronaldo
de Moraes Mello Boccolini, Patricia
Baroni, Lais Ribeiro
de Almeida Relvas-Brandt, Laís
de Abreu Junqueira Gritz, Raquel
Siqueira Boccolini, Cristiano
author_facet Fernandes Santos Alves, Ronaldo
de Moraes Mello Boccolini, Patricia
Baroni, Lais Ribeiro
de Almeida Relvas-Brandt, Laís
de Abreu Junqueira Gritz, Raquel
Siqueira Boccolini, Cristiano
author_sort Fernandes Santos Alves, Ronaldo
collection PubMed
description OBJECTIVES: We present a database on Brazilian spatial, demographic, and socioeconomic characteristics from 1996 to 2020. This database aims for integration and harmonization with epidemiological data from two major studies. It can also be a valuable database for designing and conducting various types of epidemiologic research, such as health inequality studies, ecological studies (mapping and time-trends), and multi-level analysis. DATA DESCRIPTION: The database gathers official information obtained via open sources from the Brazilian Institute of Geography and Statistics, the Institute for Applied Economic Research, and the Ministry of Health. It includes 139,153 observations and 26 attributes aggregated by years and policy-relevant geographic units on geocoding of municipality centroids, total population size, child population by age-group, birth and mortality measures, Brazilian Municipal Human Development Index, Gini coefficient, Gross Domestic Product, and sanitation. We automated all data processing and curation in the free and open software R.
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spelling pubmed-90928132022-05-12 Brazilian spatial, demographic, and socioeconomic data from 1996 to 2020 Fernandes Santos Alves, Ronaldo de Moraes Mello Boccolini, Patricia Baroni, Lais Ribeiro de Almeida Relvas-Brandt, Laís de Abreu Junqueira Gritz, Raquel Siqueira Boccolini, Cristiano BMC Res Notes Data Note OBJECTIVES: We present a database on Brazilian spatial, demographic, and socioeconomic characteristics from 1996 to 2020. This database aims for integration and harmonization with epidemiological data from two major studies. It can also be a valuable database for designing and conducting various types of epidemiologic research, such as health inequality studies, ecological studies (mapping and time-trends), and multi-level analysis. DATA DESCRIPTION: The database gathers official information obtained via open sources from the Brazilian Institute of Geography and Statistics, the Institute for Applied Economic Research, and the Ministry of Health. It includes 139,153 observations and 26 attributes aggregated by years and policy-relevant geographic units on geocoding of municipality centroids, total population size, child population by age-group, birth and mortality measures, Brazilian Municipal Human Development Index, Gini coefficient, Gross Domestic Product, and sanitation. We automated all data processing and curation in the free and open software R. BioMed Central 2022-05-10 /pmc/articles/PMC9092813/ /pubmed/35538501 http://dx.doi.org/10.1186/s13104-022-06044-w Text en © The Author(s) 2022 https://creativecommons.org/licenses/by/4.0/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/ (https://creativecommons.org/licenses/by/4.0/) . The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/ (https://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
Fernandes Santos Alves, Ronaldo
de Moraes Mello Boccolini, Patricia
Baroni, Lais Ribeiro
de Almeida Relvas-Brandt, Laís
de Abreu Junqueira Gritz, Raquel
Siqueira Boccolini, Cristiano
Brazilian spatial, demographic, and socioeconomic data from 1996 to 2020
title Brazilian spatial, demographic, and socioeconomic data from 1996 to 2020
title_full Brazilian spatial, demographic, and socioeconomic data from 1996 to 2020
title_fullStr Brazilian spatial, demographic, and socioeconomic data from 1996 to 2020
title_full_unstemmed Brazilian spatial, demographic, and socioeconomic data from 1996 to 2020
title_short Brazilian spatial, demographic, and socioeconomic data from 1996 to 2020
title_sort brazilian spatial, demographic, and socioeconomic data from 1996 to 2020
topic Data Note
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9092813/
https://www.ncbi.nlm.nih.gov/pubmed/35538501
http://dx.doi.org/10.1186/s13104-022-06044-w
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