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de Freitas Saldanha R, Kreischer V, Gritz R, Miloski M, Bonifácio CLC, Cardoso CLS, Alves ACP, de Sá DA, Gurgel Junior GD, Moreira RDS, Fernandez MV, Lima JDC, Pedroso M. Manifestation and sociodemographic microdata of Brazil's Unified Health System Ombudsman. BMC Res Notes 2024; 17:18. [PMID: 38183153 PMCID: PMC10768370 DOI: 10.1186/s13104-023-06639-x] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/08/2022] [Accepted: 11/24/2023] [Indexed: 01/07/2024] Open
Abstract
OBJECTIVES This article presents the process of extraction and treatment of two datasets from the General Ombudsman of the Brazilian Unified Health System (OUVSUS). The resulting datasets allow the analysis of manifestation characteristics and sociodemographic profile of the citizens that performed these manifestations. DATA DESCRIPTION The first dataset depicts the characteristics of the manifestations registered by the General Ombudsman. Each row represents an individual manifestation and contains information such as the registration date, classification, input channel, and subject, among others. The second dataset is constituted of sociodemographic information for each citizen that performed a manifestation, and characteristics such as sexual orientation, race, age, and geographic location of the citizen are presented, among others.
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Affiliation(s)
- Raphael de Freitas Saldanha
- Platform of Data Science applied to Health (PCDaS), ICICT, Oswaldo Cruz Foundation, Fiocruz, Rio de Janeiro, Brazil.
| | - Vinicius Kreischer
- Platform of Data Science applied to Health (PCDaS), ICICT, Oswaldo Cruz Foundation, Fiocruz, Rio de Janeiro, Brazil
- National Laboratory for Scientific Computing, LNCC, Petrópolis, Brazil
| | - Raquel Gritz
- Platform of Data Science applied to Health (PCDaS), ICICT, Oswaldo Cruz Foundation, Fiocruz, Rio de Janeiro, Brazil
- Data Extreme Lab, National Laboratory for Scientific Computing, DEXL Lab/LNCC, Petrópolis, Brazil
| | - Matheus Miloski
- Platform of Data Science applied to Health (PCDaS), ICICT, Oswaldo Cruz Foundation, Fiocruz, Rio de Janeiro, Brazil
- Federal University of Rio de Janeiro, UFRJ, Rio de Janeiro, Brazil
| | - Carmen Lúcia Corrêa Bonifácio
- Platform of Data Science applied to Health (PCDaS), ICICT, Oswaldo Cruz Foundation, Fiocruz, Rio de Janeiro, Brazil
- Data Extreme Lab, National Laboratory for Scientific Computing, DEXL Lab/LNCC, Petrópolis, Brazil
| | - Carlos Leonardo Souza Cardoso
- Platform of Data Science applied to Health (PCDaS), ICICT, Oswaldo Cruz Foundation, Fiocruz, Rio de Janeiro, Brazil
- Data Extreme Lab, National Laboratory for Scientific Computing, DEXL Lab/LNCC, Petrópolis, Brazil
| | - Ariane Camilo Pinheiro Alves
- Platform of Data Science applied to Health (PCDaS), ICICT, Oswaldo Cruz Foundation, Fiocruz, Rio de Janeiro, Brazil
| | | | | | | | | | - Jefferson da Costa Lima
- Platform of Data Science applied to Health (PCDaS), ICICT, Oswaldo Cruz Foundation, Fiocruz, Rio de Janeiro, Brazil
| | - Marcel Pedroso
- Platform of Data Science applied to Health (PCDaS), ICICT, Oswaldo Cruz Foundation, Fiocruz, Rio de Janeiro, Brazil
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Salles R, de Paula Dornellas Ribeiro V, Gritz R, Cardoso CLS, Paixão B, Carraro L, de Borba Cruz SR, Kreischer V, Bonifácio CLC, de Freitas Saldanha R, Souto G, Miloski M, Zirondi L, Alencar GP, Alves ACP, Neto NN, da Costa Lima J, Pedroso M, Alves RFS, de Moraes Mello Boccolini P, Boccolini CS. A comprehensive integrated dataset on Brazilian health facilities: from 2005 to 2021. BMC Res Notes 2023; 16:151. [PMID: 37475018 PMCID: PMC10360316 DOI: 10.1186/s13104-023-06422-y] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/08/2022] [Accepted: 07/03/2023] [Indexed: 07/22/2023] Open
Abstract
OBJECTIVES The National Registry of Healthcare Facilities is a system with the registry of every healthcare facility in Brazil with information on the capacity building and healthcare workforce regarding its public or private nature. Despite being publicly available, it can only be accessed in separated disjoint tables, with different primary units of analysis. The objective is to offer an interoperable dataset containing monthly data from 2005 to 2021 with information on healthcare facilities, including their physical and human resources, services and teams, enriched with municipal information. DATA DESCRIPTION Database with historical data and geographic information for each health facility in Brazil. It is composed by 5 distinct tables, organized according to combinations of time, space, and types of resources, services and teams. This database opens up a range of possibilities for research topics, from case studies in a single health facility and period, analysis of a group of health facilities with characteristics of interest, to a broader study using the entire dataset and aggregated data by municipality. Furthermore, the fact that there is a row for each health facility/month/year facilitates the integration with other datasets from the Brazilian healthcare system. In addition to being a potential object of study in the health area, the dataset is also convenient in data science, especially for studies focused on time series.
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Affiliation(s)
- Rebecca Salles
- Platform of Data Science applied to Health (PCDaS), Institute of Scientific and Technological Communication and Information on Health (ICICT), Oswaldo Cruz Foundation (Fiocruz), Rio de Janeiro, Brazil
- Federal Center for Technological Education of Rio de Janeiro, CEFET/RJ, Rio de Janeiro, Brazil
| | - Victor de Paula Dornellas Ribeiro
- Platform of Data Science applied to Health (PCDaS), Institute of Scientific and Technological Communication and Information on Health (ICICT), Oswaldo Cruz Foundation (Fiocruz), Rio de Janeiro, Brazil
- National Laboratory for Scientific Computing, LNCC, Petrópolis, Brazil
| | - Raquel Gritz
- Platform of Data Science applied to Health (PCDaS), Institute of Scientific and Technological Communication and Information on Health (ICICT), Oswaldo Cruz Foundation (Fiocruz), Rio de Janeiro, Brazil
- Data Extreme Lab, National Laboratory for Scientific Computing, DEXL Lab/LNCC, Petrópolis, Brazil
| | - Carlos Leonardo Souza Cardoso
- Platform of Data Science applied to Health (PCDaS), Institute of Scientific and Technological Communication and Information on Health (ICICT), Oswaldo Cruz Foundation (Fiocruz), Rio de Janeiro, Brazil
- Data Extreme Lab, National Laboratory for Scientific Computing, DEXL Lab/LNCC, Petrópolis, Brazil
| | - Balthazar Paixão
- Platform of Data Science applied to Health (PCDaS), Institute of Scientific and Technological Communication and Information on Health (ICICT), Oswaldo Cruz Foundation (Fiocruz), Rio de Janeiro, Brazil
- Federal Center for Technological Education of Rio de Janeiro, CEFET/RJ, Rio de Janeiro, Brazil
| | - Lucas Carraro
- Platform of Data Science applied to Health (PCDaS), Institute of Scientific and Technological Communication and Information on Health (ICICT), Oswaldo Cruz Foundation (Fiocruz), Rio de Janeiro, Brazil
| | - Sérgio Ricardo de Borba Cruz
- Platform of Data Science applied to Health (PCDaS), Institute of Scientific and Technological Communication and Information on Health (ICICT), Oswaldo Cruz Foundation (Fiocruz), Rio de Janeiro, Brazil
| | - Vinicius Kreischer
- Platform of Data Science applied to Health (PCDaS), Institute of Scientific and Technological Communication and Information on Health (ICICT), Oswaldo Cruz Foundation (Fiocruz), Rio de Janeiro, Brazil
- National Laboratory for Scientific Computing, LNCC, Petrópolis, Brazil
| | - Carmen Lúcia Corrêa Bonifácio
- Platform of Data Science applied to Health (PCDaS), Institute of Scientific and Technological Communication and Information on Health (ICICT), Oswaldo Cruz Foundation (Fiocruz), Rio de Janeiro, Brazil
- Data Extreme Lab, National Laboratory for Scientific Computing, DEXL Lab/LNCC, Petrópolis, Brazil
| | - Raphael de Freitas Saldanha
- Platform of Data Science applied to Health (PCDaS), Institute of Scientific and Technological Communication and Information on Health (ICICT), Oswaldo Cruz Foundation (Fiocruz), Rio de Janeiro, Brazil
| | - Gabriel Souto
- Platform of Data Science applied to Health (PCDaS), Institute of Scientific and Technological Communication and Information on Health (ICICT), Oswaldo Cruz Foundation (Fiocruz), Rio de Janeiro, Brazil
- Federal Center for Technological Education of Rio de Janeiro, CEFET/RJ, Rio de Janeiro, Brazil
| | - Matheus Miloski
- Platform of Data Science applied to Health (PCDaS), Institute of Scientific and Technological Communication and Information on Health (ICICT), Oswaldo Cruz Foundation (Fiocruz), Rio de Janeiro, Brazil
- Federal University of Rio de Janeiro, UFRJ, Rio de Janeiro, Brazil
| | - Leandro Zirondi
- Platform of Data Science applied to Health (PCDaS), Institute of Scientific and Technological Communication and Information on Health (ICICT), Oswaldo Cruz Foundation (Fiocruz), Rio de Janeiro, Brazil
- Federal Center for Technological Education of Rio de Janeiro, CEFET/RJ, Rio de Janeiro, Brazil
| | - Gizelton Pereira Alencar
- Platform of Data Science applied to Health (PCDaS), Institute of Scientific and Technological Communication and Information on Health (ICICT), Oswaldo Cruz Foundation (Fiocruz), Rio de Janeiro, Brazil
- School of Public Health, University of São Paulo, FSP/USP, São Paulo, Brazil
| | - Ariane Camilo Pinheiro Alves
- Platform of Data Science applied to Health (PCDaS), Institute of Scientific and Technological Communication and Information on Health (ICICT), Oswaldo Cruz Foundation (Fiocruz), Rio de Janeiro, Brazil
| | - Nelson Niero Neto
- Platform of Data Science applied to Health (PCDaS), Institute of Scientific and Technological Communication and Information on Health (ICICT), Oswaldo Cruz Foundation (Fiocruz), Rio de Janeiro, Brazil
| | - Jefferson da Costa Lima
- Platform of Data Science applied to Health (PCDaS), Institute of Scientific and Technological Communication and Information on Health (ICICT), Oswaldo Cruz Foundation (Fiocruz), Rio de Janeiro, Brazil
| | - Marcel Pedroso
- Platform of Data Science applied to Health (PCDaS), Institute of Scientific and Technological Communication and Information on Health (ICICT), Oswaldo Cruz Foundation (Fiocruz), Rio de Janeiro, Brazil
| | - Ronaldo Fernandes Santos Alves
- Institute of Scientific and Technological Communication and Information on Health (ICICT), Oswaldo Cruz Foundation (Fiocruz), Rio de Janeiro, Brazil
| | | | - Cristiano Siqueira Boccolini
- Institute of Scientific and Technological Communication and Information on Health (ICICT), Oswaldo Cruz Foundation (Fiocruz), Rio de Janeiro, Brazil
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Souto G, Miloski M, Cardoso CLS, Kreischer V, Paixão B, Ribeiro VDPD, Gritz R, Carraro L, Cruz SRDB, Bonifácio CLC, Saldanha RDF, Zirondi L, Alencar GP, Alves ACP, Neto NN, Salles R, Lima JDC, Pedroso M. Dataset on infant mortality rates in Brazil. BMC Res Notes 2023; 16:149. [PMID: 37461048 DOI: 10.1186/s13104-023-06425-9] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/16/2022] [Accepted: 07/04/2023] [Indexed: 07/20/2023] Open
Abstract
OBJECTIVES Surveillance of infant and fetal deaths is of paramount importance in thinking about government strategies to reduce these rates, provide greater visibility of these mortality figures in the country, enable the adoption of prevention measures, as well as contribute to a better record of deaths. DATA DESCRIPTION The dataset comprises fetal, neonatal, early neonatal, late neonatal, and perinatal Mortality Rates of Brazilian municipalities with their respective information, between 2010 to 2020, aggregated by epidemiological week.
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Affiliation(s)
- Gabriel Souto
- Platform of Data Science applied to Health (PCDaS), ICICT, Oswaldo Cruz Foundation, Fiocruz, Rio de Janeiro, Brazil.
- Federal University of Rio de Janeiro, UFRJ, Rio de Janeiro, Brazil.
| | - Matheus Miloski
- Platform of Data Science applied to Health (PCDaS), ICICT, Oswaldo Cruz Foundation, Fiocruz, Rio de Janeiro, Brazil
- Federal University of Rio de Janeiro, UFRJ, Rio de Janeiro, Brazil
| | - Carlos Leonardo Souza Cardoso
- Platform of Data Science applied to Health (PCDaS), ICICT, Oswaldo Cruz Foundation, Fiocruz, Rio de Janeiro, Brazil
- Data Extreme Lab, National Laboratory for Scientific Computing, DEXL Lab/LNCC, Petrópolis, Brazil
| | - Vinicius Kreischer
- Platform of Data Science applied to Health (PCDaS), ICICT, Oswaldo Cruz Foundation, Fiocruz, Rio de Janeiro, Brazil
- National Laboratory for Scientific Computing, LNCC, Petrópolis, Brazil
| | - Balthazar Paixão
- Platform of Data Science applied to Health (PCDaS), ICICT, Oswaldo Cruz Foundation, Fiocruz, Rio de Janeiro, Brazil
- Federal Center for Technological Education of Rio de Janeiro, CEFET/RJ, Rio de Janeiro, Brazil
| | - Victor de Paula Dornellas Ribeiro
- Platform of Data Science applied to Health (PCDaS), ICICT, Oswaldo Cruz Foundation, Fiocruz, Rio de Janeiro, Brazil
- National Laboratory for Scientific Computing, LNCC, Petrópolis, Brazil
| | - Raquel Gritz
- Platform of Data Science applied to Health (PCDaS), ICICT, Oswaldo Cruz Foundation, Fiocruz, Rio de Janeiro, Brazil
- Data Extreme Lab, National Laboratory for Scientific Computing, DEXL Lab/LNCC, Petrópolis, Brazil
| | - Lucas Carraro
- Platform of Data Science applied to Health (PCDaS), ICICT, Oswaldo Cruz Foundation, Fiocruz, Rio de Janeiro, Brazil
| | - Sérgio Ricardo de Borba Cruz
- Platform of Data Science applied to Health (PCDaS), ICICT, Oswaldo Cruz Foundation, Fiocruz, Rio de Janeiro, Brazil
| | - Carmen Lúcia Corrêa Bonifácio
- Platform of Data Science applied to Health (PCDaS), ICICT, Oswaldo Cruz Foundation, Fiocruz, Rio de Janeiro, Brazil
- Data Extreme Lab, National Laboratory for Scientific Computing, DEXL Lab/LNCC, Petrópolis, Brazil
| | - Raphael de Freitas Saldanha
- Platform of Data Science applied to Health (PCDaS), ICICT, Oswaldo Cruz Foundation, Fiocruz, Rio de Janeiro, Brazil
| | - Leandro Zirondi
- Platform of Data Science applied to Health (PCDaS), ICICT, Oswaldo Cruz Foundation, Fiocruz, Rio de Janeiro, Brazil
- Federal Center for Technological Education of Rio de Janeiro, CEFET/RJ, Rio de Janeiro, Brazil
| | - Gizelton Pereira Alencar
- Platform of Data Science applied to Health (PCDaS), ICICT, Oswaldo Cruz Foundation, Fiocruz, Rio de Janeiro, Brazil
- School of Public Health, University of São Paulo, FSP/USP, São Paulo, Brazil
| | - Ariane Camilo Pinheiro Alves
- Platform of Data Science applied to Health (PCDaS), ICICT, Oswaldo Cruz Foundation, Fiocruz, Rio de Janeiro, Brazil
| | - Nelson Niero Neto
- Platform of Data Science applied to Health (PCDaS), ICICT, Oswaldo Cruz Foundation, Fiocruz, Rio de Janeiro, Brazil
| | - Rebecca Salles
- Platform of Data Science applied to Health (PCDaS), ICICT, Oswaldo Cruz Foundation, Fiocruz, Rio de Janeiro, Brazil
- Federal Center for Technological Education of Rio de Janeiro, CEFET/RJ, Rio de Janeiro, Brazil
| | - Jefferson da Costa Lima
- Platform of Data Science applied to Health (PCDaS), ICICT, Oswaldo Cruz Foundation, Fiocruz, Rio de Janeiro, Brazil
| | - Marcel Pedroso
- Platform of Data Science applied to Health (PCDaS), ICICT, Oswaldo Cruz Foundation, Fiocruz, Rio de Janeiro, Brazil
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Baroni L, Alves RFS, Boccolini CS, Salles R, Gritz R, Paixão B, Boccolini PDMM. Database on the coverage of the "Bolsa-Família" conditioning cash-transfer program: Brazil, 2005 to 2021. BMC Res Notes 2021; 14:435. [PMID: 34838146 PMCID: PMC8627059 DOI: 10.1186/s13104-021-05849-5] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/13/2021] [Accepted: 11/12/2021] [Indexed: 11/28/2022] Open
Abstract
Objectives The “Bolsa-Família” Program (PBF) is a Brazilian conditional cash-transfer program in which families should comply with health, education, and social assistance conditionalities. The program aims to fight poverty and hunger, promoting nutrition and health services for low-income populations. This paper presents a database on the coverage of monitoring and compliance with the PBF health conditionalities in Brazil from January 2005 to July 2021. Data description Database on the PBF conditioning cash-transfer program coverage in Brazil from 2005 to 2021. It comprises information on the number of families benefited, health conditionalities, and the follow-up on vaccination and nutrition of children under seven years old. The cities and semesters are the minimal aggregation units.
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Affiliation(s)
- Lais Baroni
- Federal Center for Technological Education of Rio de Janeiro, CEFET/RJ, Rio de Janeiro, Brazil.,Oswaldo Cruz Foundation, Fiocruz, Rio de Janeiro, Brazil
| | | | | | - Rebecca Salles
- Federal Center for Technological Education of Rio de Janeiro, CEFET/RJ, Rio de Janeiro, Brazil.,Platform of Data Science applied to Health (PCDaS), ICICT, Oswaldo Cruz Foundation, Fiocruz, Rio de Janeiro, Brazil
| | - Raquel Gritz
- Platform of Data Science applied to Health (PCDaS), ICICT, Oswaldo Cruz Foundation, Fiocruz, Rio de Janeiro, Brazil
| | - Balthazar Paixão
- Federal Center for Technological Education of Rio de Janeiro, CEFET/RJ, Rio de Janeiro, Brazil.,Platform of Data Science applied to Health (PCDaS), ICICT, Oswaldo Cruz Foundation, Fiocruz, Rio de Janeiro, Brazil
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