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1.
BMC Res Notes ; 17(1): 18, 2024 Jan 05.
Article in English | MEDLINE | ID: mdl-38183153

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.


Subject(s)
Datasets as Topic , Demography , Humans , Brazil
2.
BMC Res Notes ; 16(1): 151, 2023 Jul 20.
Article in English | MEDLINE | ID: mdl-37475018

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.


Subject(s)
Datasets as Topic , Health Facilities , Brazil , Registries
3.
BMC Res Notes ; 16(1): 149, 2023 Jul 17.
Article in English | MEDLINE | ID: mdl-37461048

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.


Subject(s)
Fetal Death , Infant Mortality , Infant , Infant, Newborn , Pregnancy , Female , Humans , Brazil/epidemiology , Perinatal Mortality , Prenatal Care
4.
BMC Res Notes ; 15(1): 159, 2022 May 10.
Article in English | MEDLINE | ID: mdl-35538501

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 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.


Subject(s)
Health Status Disparities , Brazil/epidemiology , Child , Cities , Humans , Population Density , Socioeconomic Factors
5.
BMC Res Notes ; 14(1): 435, 2021 Nov 27.
Article in English | MEDLINE | ID: mdl-34838146

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.


Subject(s)
Nutritional Status , Poverty , Brazil , Child , Cities , Educational Status , Humans
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