A Bayesian hierarchical model for disease mapping that accounts for scaling and heavy-tailed latent effects.

In disease mapping, the relative risk of a disease is commonly estimated across different areas within a region of interest. The number of cases in an area is often assumed to follow a Poisson distribution whose mean is decomposed as the product between an offset and the logarithm of the disease's relative risk. The log risk may be written as the sum of fixed effects and latent random effects.

Beliefs and Violent Behavior in Interpersonal Relationships of Young Adults: A Systematic Review.

Beliefs are information-processing structures formed along an individual's developmental pathway. Beliefs can legitimize involvement in inappropriate or violent behaviors, particularly when they crystallize into cognitive schemas. While beliefs aid individuals in interpreting the surrounding world, overly rigid and inflexible beliefs can constrain the individual's ability to process available information.

The TeLeo Program: Tele-education in pediatric oncology as a tool to support training programs in Latin America.

The TeLeo Program offers a free-access 2-year online learning program to support fellowship programs in pediatric oncology, enhance networking opportunities, and facilitate the exchange of context-specific, educational content within the pediatric oncology community in training in Latin America. In its first edition beginning in 2021, 185 fellows from 40 centers in 12 Latin American countries were enrolled. Additional courses for other healthcare professionals related to oncology in the region were produced to further support the program.

[Epidemiological intelligence, investment in information technologies and new perspectives for the use of data in health surveillance].

In the municipality of Rio de Janeiro, Brazil, the incorporation of the concept of epidemic intelligence and technological resources has supported new perspectives for the use of data by health surveillance, since the COVID-19 pandemic. This article presents the Epidemiological Intelligence Center (CIE) and the tools and products developed in its coordination. The CIE was inaugurated in March 2022, with a multiprofessional team, supported by the premises of transparency and integration of various data sources for early detection of changes in the trends of events of importance in Public Health.

[Telephone surveys for the study of catastrophic costs due to tuberculosis in Colombia: a novel toolPesquisas telefônicas para um estudo de custos catastróficos da tuberculose na Colômbia: uma ferramenta inovadora].

The study of catastrophic costs incurred by people affected by tuberculosis (TB), conducted in Colombia during the COVID-19 pandemic, provided the opportunity to implement telephone surveys for data collection. This constitutes a methodological innovation regarding the standards established by the World Health Organization (WHO) which, for this type of study, usually rely on face-to-face surveys of patients attending health facilities. The study design, objectives, and methodology were adapted from the WHO publication .