Factors associated with functional health literacy and the quality of life of riverside residents served by the primary care network in the Brazilian amazon: a cross-sectional study.

Background: the riverside population lives in a vulnerable social situation, shaped by geographical, economic, social, and educational aspects that have repercussions on health literacy, the limitations of which can compromise Quality of Life. These specificities influence the actions of Primary Health Care, especially in the rural context. This study aimed to assess the factors associated with Functional Health Literacy and Quality of Life among riverside residents of the Brazilian Amazon who use Primary Health Care.

Use of an application on the measles vaccine for Warao indigenous refugees in Brazil.

Objective: To evaluate the need to develop an application with information about the measles vaccine for Warao indigenous people.

Methods: This was a quantitative study conducted at the Espaço de Acolhimento Tapanã refugee shelter in the city of Belém, Pará, Brazil. The study sample was selected for convenience.

Geospatialization of tuberculosis and income transfer programs among Indigenous peoples in an endemic territory.

Objective: To analyze the spatial pattern of tuberculosis in Indigenous peoples from the State of Pará and its correlation with income transfer.

Methods: Ecological study, with 340 cases reported in Indigenous peoples in the State of Pará, Brazil, in the period 2016-2020. The study performed a descriptive analysis and calculation of incidence rates with smoothing by the local empirical Bayesian method.

Spatial patterns of multidrug-resistant tuberculosis: correlation with sociodemographic variables and type of notification.

Objective: Correlate the cases of multidrug-resistant tuberculosis and its spatial patterns with the type of notification and sociodemographic variables.

Method: Ecological study carried out in the municipality of Belém, with 77 cases of multidrug-resistant tuberculosis registered in the Special Treatment Information System for Tuberculosis, between 2012 and 2016. For analysis, the data was debugged followed by geo-referencing in ArcGis 10.