OBJECTIVE Summarize the literature on the relationship between composite socioeconomic indicators and mortality in different geographical areas of Brazil. METHODS This scoping review included articles published between January 1, 2000, and August 31, 2020, retrieved by means of a bibliographic search carried out in the Medline, Scopus, Web of Science, and Lilacs databases. Studies reporting on the association between composite socioeconomic indicators and all-cause, or specific cause of death in any age group in different geographical areas were selected. The review summarized the measures constructed, their associations with the outcomes, and potential study limitations. RESULTS Of the 77 full texts that met the inclusion criteria, the study reviewed 24. The area level of composite socioeconomic indicators analyzed comprised municipalities (n = 6), districts (n = 5), census tracts (n = 4), state (n = 2), country (n = 2), and other areas (n = 5). Six studies used composite socioeconomic indicators such as the Human Development Index, Gross Domestic Product, and the Gini Index; the remaining 18 papers created their own socioeconomic measures based on sociodemographic and health indicators. Socioeconomic status was inversely associated with higher rates of all-cause mortality, external cause mortality, suicide, homicide, fetal and infant mortality, respiratory and circulatory diseases, stroke, infectious and parasitic diseases, malnutrition, gastroenteritis, and oropharyngeal cancer. Higher mortality rates due to colorectal cancer, leukemia, a general group of neoplasms, traffic accident, and suicide, in turn, were observed in less deprived areas and/or those with more significant socioeconomic development. Underreporting of death and differences in mortality coverage in Brazilian areas were cited as the main limitation. CONCLUSIONS Studies analyzed mortality inequalities in different geographical areas by means of composite socioeconomic indicators, showing that the association directions vary according to the mortality outcome. But studies on all-cause mortality and at the census tract level remain scarce. The results may guide the development of new composite socioeconomic indicators for use in mortality inequality analysis.

As políticas de ações afirmativas buscam promover a igualdade de oportunidades para grupos sociais historicamente discriminados. No âmbito da educação superior, a política é realizada por meio da reserva de vagas e de outros mecanismos que promovem o acesso e a permanência na universidade. Este trabalho objetiva avaliar se o desempenho acadêmico é relacionado à forma de ingresso na Universidade Federal da Bahia (UFBA), seja pelo sistema de cotas ou pelo sistema de ampla concorrência. Utilizando dados de 8.546 estudantes que ingressaram a partir de 2005 e graduaram até 2013, este artigo apresenta os resultados de estimativas utilizando PSM com diferentes métodos de pareamento em dados e quatro medidas de desempenho acadêmico. Os resultados indicam que, de forma agregada, os estudantes cotistas apresentam um desempenho aparentemente inferior aos não cotistas. No entanto, os modelos estimados por áreas de conhecimento mostram que os diferenciais de desempenho permanecem apenas para a área de Ciências da Saúde, indicando que fatores socioeconômicos são mais relevantes para o desempenho do aluno na universidade do que sua forma de ingresso.

OBJECTIVE To compare the death counts from three sources of information on mortality available in Brazil in 2010, the Mortality Information System (SIM - Sistema de Informações sobre Mortalidade ), Civil Registration Statistic System (RC - Sistema de Estatísticas de Resgistro Civil ), and the 2010 Demographic Census at various geographical levels, and to confirm the association between municipal socioeconomic characteristics and the source which showed the highest death count. METHODS This is a descriptive and comparative study of raw data on deaths in the SIM, RC and 2010 Census databases, the latter held in Brazilian states and municipalities between August 2009 and July 2010. The percentage of municipalities was confirmed by the database showing the highest death count. The association between the source of the highest death count and socioeconomic indicators - the Índice de Privação Brasileiro (IBP – Brazilian Deprivation Index) and Índice de Desenvolvimento Humano Municipal (IHDM – Municipal Human Development Index) - was performed by bivariate choropleth and Moran Local Index of Spatial Association (LISA) cluster maps. RESULTS Confirmed that the SIM is the database with the highest number of deaths counted for all Brazilian macroregions, except the North, in which the highest coverage was from the 2010 Census. Based on the indicators proposed, in general, the Census showed a higher coverage of deaths than the SIM and the RC in the most deprived (highest IBP values) and less developed municipalities (lowest IDHM values) in the country. CONCLUSION The results highlight regional inequalities in how the databases chosen for this study cover death records, and the importance of maintaining the issue of mortality on the basic census questionnaire.

We evaluated the hypothesis of an association between excess mortality and political partisanship in Brazil using municipal death certificates registered in the Brazilian Ministry of Health database and first-round electoral results of Presidential elections in 2018 and 2022. Considering the former Brazilian President’s stance of discrediting and neglecting the severity of the pandemic, we expect a possible relationship between excessive mortality rates during the COVID-19 health crisis and the number of municipal votes for Bolsonaro. Our results showed that, in both elections, the first-round percentage of municipal votes for Bolsonaro was positively associated with the peaks of excess deaths across Brazilian municipalities in 2020 and 2021. Despite the excess mortality during the pandemic, the political loyalty to Bolsonaro remained the same during the electoral period of 2022. A possible explanation for this is linked to the Brazilian political scenario, which presents an environment of tribal politics and affective polarization.

In 2019/2020, the Brazilian coast was affected by the largest oil spill disaster affecting the extent of the coastline recorded in tropical oceans. The impact on fishing areas and the prohibition of seafood sales and consumption exacerbated small-scale fishers' vulnerability. The small-scale fishers (SSFs) were the most active in protecting fishing territories, carrying out cleanup efforts without adequate personal protective equipment. Following the disaster, they suffered significant economic losses, compromising food security, including consuming potentially unsafe seafood. About 5000 tons of oil residues were collected, mainly by artisanal fishers. This study aimed to describe and identify levels of exposure to oil spills in the artisanal fishers, the population affected by the disaster on the Brazilian coast. This epidemiological cross-sectional study used a questionnaire containing 325 questions, administered to 959 artisanal fishers living in areas affected by the spill. The graded response model of the Item Response Theory (IRT) was used to classify the artisanal fishers regarding their level of exposure. The model identified three levels of exposure: low (17.5%), medium (19.8%), and high (7.6%) in oil removal and fishing activities. This study demonstrated that SSFs residing in areas affected by the oil spill showed different levels of oil exposure during oil removal activities and fishing/shellfishing activities. The results highlight the need for environmental monitoring of fishing territories, prioritizing these populations in disaster preparedness training, and including social, health, and labor assistance policies during and after oil spill disasters. This study contributes to planning integrated solutions for small-scale fishing programs.

Introduction: Interpersonal neural synchronization (INS) demands a greater understanding of a brain's influence on others. Therefore, brain synchronization is an even more complex system than intrasubject brain connectivity and must be investigated. There is a need to develop novel methods for statistical inference in this context.Methods: In this study, motivated by the analysis of fNIRS hyperscanning data, which measure the activity of multiple brains simultaneously, we propose a two-step network estimation: Tabu search local method and global maximization in the selected subgroup [partial conditional directed acyclic graph (DAG) + multiregression dynamic model]. We illustrate this approach in a dataset of two individuals who are playing the violin together.Results: This study contributes new tools to the social neuroscience field, which may provide new perspectives about intersubject interactions. Our proposed approach estimates the best probabilistic network representation, in addition to providing access to the time-varying parameters, which may be helpful in understanding the brain-to-brain association of these two players.Discussion: The illustration of the violin duo highlights the time-evolving changes in the brain activation of an individual influencing the other one through a data-driven analysis. We confirmed that one player was leading the other given the ROI causal relation toward the other player.