Author | Alves, Ronaldo Fernandes Santos | |
Author | Boccolini, Patricia de Moraes Mello | |
Author | Baroni, Lais Ribeiro | |
Author | Relvas‑Brandt, Laís de Almeida | |
Author | Gritz, Raquel de Abreu Junqueira | |
Author | Boccolini, Cristiano Siqueira | |
Access date | 2023-03-17T18:02:00Z | |
Available date | 2023-03-17T18:02:00Z | |
Document date | 2022 | |
Citation | ALVES, Ronaldo Fernandes Santos et al. Brazilian spatial, demographic, and socioeconomic data from 1996 to 2020. BMC Research Notes, v. 15, n. 1, p. 1-4, May 22 2022. | en_US |
ISSN | 1756-0500 | |
URI | https://www.arca.fiocruz.br/handle/icict/57426 | |
Description | Ethics approval and consent to participate - We used data from open sources. The Brazilian Institute of Geography and Statistics, the Institute for Applied Economic Research, and the Ministry of Health of Brazil are committed to respecting the ethical precepts and ensuring data privacy and security. The Brazilian legislation exempts the use of public and anonymized secondary data from ethical approval. | en_US |
Sponsorship | This work was supported, in whole or in part, by the Bill & Melinda Gates Foundation [Grant ID INV 027961] and National Council for Scientifc and Technological Development (CNPq). Under the grant conditions of the Foun‑ dation, a Creative Commons Attribution 4.0 Generic License has already been assigned to the Author Accepted Manuscript version that might arise from
this submission. | en_US |
Language | eng | en_US |
Publisher | BioMed Central | en_US |
Rights | open access | en_US |
Title | Brazilian spatial, demographic, and socioeconomic data from 1996 to 2020 | en_US |
Type | Article | en_US |
DOI | 10.1186/s13104-022-06044-w | |
Abstract | 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 ofcial 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 coefcient, Gross Domestic Product, and sanitation. We automated all data processing and curation in the free and open software R. | en_US |
Affilliation | Oswaldo Cruz Foundation. Institute of Scientifc and Technological Communication and Information in Health. Rio de Janeiro, RJ, Brazil. | en_US |
Affilliation | Oswaldo Cruz Foundation. Institute of Scientifc and Technological Communication and Information in Health. Rio de Janeiro, RJ, Brazil / UNIFASE. Núcleo de Informação, Políticas Públicas e Inclusão Social. Petrópolis, RJ, Brazil. | en_US |
Affilliation | Oswaldo Cruz Foundation. Institute of Scientifc and Technological Communication and Information in Health. Rio de Janeiro, RJ, Brazil / Federal Center for Technological Education of Rio de Janeiro. Rio de Janeiro, RJ, Brazil. | en_US |
Affilliation | Oswaldo Cruz Foundation. Institute of Scientifc and Technological Communication and Information in Health. Rio de Janeiro, RJ, Brazil. | en_US |
Affilliation | Oswaldo Cruz Foundation. Institute of Scientifc and Technological Communication and Information in Health. Rio de Janeiro, RJ, Brazil. | en_US |
Affilliation | Oswaldo Cruz Foundation. Institute of Scientifc and Technological Communication and Information in Health. Rio de Janeiro, RJ, Brazil. | en_US |
Subject | Brazil | en_US |
Subject | Population characteristics | en_US |
Subject | Socioeconomic factors | en_US |
Subject | Vital statistics | en_US |
Subject | Routinely collected health data | en_US |
Subject | Health information systems | en_US |
Subject | Database | en_US |
Subject | Metadata | en_US |