A contextual-compositional approach to discover associations between health determinants and health indicators for neonatal mortality rate monitoring in situations of anomalies.

Introduction: Epidemiology is considered both a field of research and a methodological approach within the broader health sciences. It aims to understand health-related events' causes and effects and provide the evidence necessary to prevent disease and implement effective control and prevention strategies. One of the main focuses of epidemiology is identifying the determinant factors in the health situation of populations since health-related anomalies are not randomly distributed among people.

Evaluation of statistical process control charts for infant mortality monitoring in Brazilian cities with different population sizes.

Objectives: The control chart is a classic statistical technique in epidemiology for identifying trends, patterns, or alerts. One meaningful use is monitoring and tracking Infant Mortality Rates, which is a priority both domestically and for the World Health Organization, as it reflects the effectiveness of public policies and the progress of nations. This study aims to evaluate the applicability and performance of this technique in Brazilian cities with different population sizes using infant mortality data.

Manifestation and sociodemographic microdata of Brazil's Unified Health System Ombudsman.

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.

A comprehensive integrated dataset on Brazilian health facilities: from 2005 to 2021.

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.

Dataset on infant mortality rates in Brazil.

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.

Estimation of COVID-19 Under-Reporting in the Brazilian States Through SARI.

Due to its impact, COVID-19 has been stressing the academy to search for curing, mitigating, or controlling it. It is believed that under-reporting is a relevant factor in determining the actual mortality rate and, if not considered, can cause significant misinformation. Therefore, this work aims to estimate the under-reporting of cases and deaths of COVID-19 in Brazilian states using data from the InfoGripe.

Neonatal mortality rates in Brazilian municipalities: from 1996 to 2017.

Objectives: Neonatal mortality is a global public health problem, and the efforts to reduce child mortality is one of the goals of the 2030 Agenda for Sustainable Development, launched in 2015 by the United Nations. The availability of historical neonatal mortality rates (NMR) data in Brazilian municipalities is crucial to evaluate trends at local, regional and national level, identifying gaps and vulnerable territories. Therefore, the objective of this article is to offer an integrated dataset containing monthly data in a historical series from 1996 to 2017 with information on all births, neonatal deaths, and NMR (total, early and late components) enriched with information related to the municipality.

An analysis of malaria in the Brazilian Legal Amazon using divergent association rules.

In data analysis, the mining of frequent patterns plays an important role in the discovery of associations and correlations between data. During this process, it is common to produce thousands of association rules (ARs), making the study of each one arduous. This problem weakens the process of finding useful information.

An integrated dataset of malaria notifications in the Legal Amazon.

Objectives: Malaria is an infectious disease that annually presents around 200,000 cases in Brazil. The availability of data on malaria is crucial for enabling and supporting studies that can promote actions to prevent it. Therefore, the goal of this paper is to contribute to such studies by offering an integrated dataset containing data on reported and suspected cases of malaria in the Brazilian Legal Amazon comprising the period from the years 2009 to 2019.

Drought in the Semiarid Region of Brazil: Exposure, Vulnerabilities and Health Impacts from the Perspectives of Local Actors.

Introduction: The objective of this study was to understand and assess the perception of communities, organized civil society, health professionals, and decision-makers of several governmental institutions, regarding vulnerabilities and health impacts in drought prone municipalities of Brazil.

Methods: This study was carried out through a qualitative investigation in eight municipalities in the Brazilian Semiarid region. Data collection was done through semi-structure and structure interviews, and discussion with local actors, which included communities groups, health professionals, governmental managers and organized civil society.

[Intraurban differentials in congenital syphilis: a predictive analysis by neighborhood in the city of Rio de Janeiro, Brazil].

The study aimed to characterize notified cases of congenital syphilis from 2011 to 2014 in the city of Rio de Janeiro and to analyze possible associations between congenital syphilis and living conditions in the city's neighborhoods. Cases of congenital syphilis were characterized according to biological and socioeconomic variables and health services use. At the aggregate level, regression tree technique was used for the data analysis, with mean incidence rate (2011-2014) of congenital syphilis as the dependent variable and housing quality, schooling, income, teenage pregnancy, poverty density, access to prenatal care, and skin color as independent variables.

The role of Brazilian National Health Information Systems in assessing the impact of Zika virus outbreak.

The Zika virus (ZIKV) epidemic has become a public health emergency following its association with severe neurological complications. We aim to discuss how the Brazilian National Health Information Systems can help to assess the impact of the ZIKV epidemic on health outcomes potentially related to ZIKV. Health outcomes potentially related to ZIKV infection were described based on a literature review of published studies on ZIKV infection outcomes and on recent protocols developed and published by the Brazilian Ministry of Health for different stages of the life cycle.

Multi-criteria decision analysis and spatial statistic: an approach to determining human vulnerability to vector transmission of Trypanosoma cruzi.

Background: Chagas disease (CD), caused by the protozoan Trypanosoma cruzi, is a neglected human disease. It is endemic to the Americas and is estimated to have an economic impact, including lost productivity and disability, of 7 billion dollars per year on average.

Objectives: To assess vulnerability to vector-borne transmission of T.

Increased Hospitalizations for Neuropathies as Indicators of Zika Virus Infection, according to Health Information System Data, Brazil.

Evidence is increasing that Zika virus can cause extensive damage to the central nervous system, affecting both fetuses and adults. We sought to identify traces of possible clinical manifestations of nervous system diseases among the registers of hospital admissions recorded in the Brazilian Unified Health System. Time series of several diagnoses from the International Classification of Diseases, 10th Revision, were analyzed by using control diagrams, during January 2008-February 2016.

[Regionalization and human development: a typology of health regions in Brazil].

This article aimed to present a proposal for characterizing health regions in Brazil based on human development, contributing to the identification of comparable geographic areas for observation, analysis, and monitoring of performance in regionalized health systems. The dimensions of the Municipal Human Development Index were calculated for the health regions by aggregating data from municipalities, weighted by population size. The grouping of health regions in 5 groups, based on combinations of life expectancy, income, and schooling, was determined by the K-Means method.

[Organization, availability and possibility of analysis of disaster data of climate related origin and its impacts on health].

The occurrence of disasters is often related to unforeseeable able natural processes. However, the analysis of major databases may highlight seasonal and long-term trends, as well as some spatial patterns where risks are concentrated. In this paper the process of acquiring and organizing climate-related disaster data collected by civil protection institutions and made available by the Brazilian Climate and Health Observatory is described.