The combined effect of social pensions and cash transfers on child mortality: evaluating the last two decades in Brazil and projecting their mitigating effect during the global economic crisis.

Background: The world is currently experiencing multiple economic crises due to the COVID-19 pandemic, war in Ukraine, and inflation surge, which disproportionately affect children, especially in low- and middle-income countries (LMICs). We evaluated if the expansion of Social Assistance, represented by Social Pensions (SP) and Conditional Cash Transfers (CCT), could reduce infant and child mortality, and mitigate excess deaths among children in Brazil, one of the LMICs most affected by these economic crises.

Methods: We conducted a retrospective impact evaluation in a cohort of Brazilian municipalities from 2004 to 2019 using multivariable fixed-effects negative binomial models, adjusted for relevant demographic, social, and economic factors, to estimate the effects of the SP and CCT on infant and child mortality.

Mortality inequalities measured by socioeconomic indicators in Brazil: a scoping review.

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.

Intersection of Race and Gender in Self-Reports of Violent Experiences and Polyvictimization by Young Girls in Brazil.

Objective: To explore racial disparities in self-reports of violent victimization and polyvictimization among young girls in Brazil and to analyze the distribution of prevalence rates across race groups and the estimated odds of exposure.

Design: Data from girls ages 15 and above (N=14,809) from the 2015 edition of PeNSE (National Adolescent School-based Health Survey) were analyzed. Survey weighted proportions and bivariate and multivariate logistic regressions were used to address the objectives.