Internal social disparities in the Brazilian Amazon became more evident during the COVID-19 pandemic. The aim of this work was to examine the demographic, social and clinical factors associated with access to COVID-19 health care in Pará Province in the Brazilian Amazon. This was an observational, cross-sectional, analytical study using a quantitative method through an online survey conducted from May to August 2023.
View Article and Find Full Text PDFThe main goal of this study was to spatially analyze the HIV epidemic scenario in young men in Brazil, 2007-2021. We used secondary data obtained from the Brazilian Information System for Notifiable Diseases. Individuals aged 15-29 years with permanent residence in Brazil who were diagnosed with HIV during the study period were included in the analysis.
View Article and Find Full Text PDFViruses
October 2023
Introduction: This study aimed to identify factors associated with late diagnosis and clinically monitor newly diagnosed HIV/AIDS patients.
Method: Retrospective study, based on secondary data from a specialized unit at the Hospital das Clínicas da Faculdade de Medicina de Ribeirão Preto of the University of Sao Paulo. Data collection included sociodemographic, behavioral, clinical, and laboratory data of newly diagnosed HIV patients between 2015 and 2019.
Worldwide, policies to combat human immunodeficiency virus (HIV) have led to a small decrease in the acquired immunodeficiency syndrome (AIDS) mortality rate among young people. For greater policy efficacy, it is necessary to determine the influence of social determinants of health (SDHs) in each territory. The objective of this study was to spatially analyse the AIDS mortality rate among young people in a province of the Brazilian Amazon and the spatial variability of the rate promoted by SDHs.
View Article and Find Full Text PDFTrop Med Infect Dis
July 2022
Background: The main goal of this study was to analyze the HIV epidemic temporally and spatially among young people living in Pará, Brazil, from 2007 to 2018.
Methods: For the temporal analysis, we employed an integrated autoregression of moving averages model associated with the seasonal trend using the LOESS decomposition method, which allowed for predictions to be made. In the spatial analysis, the techniques of autocorrelation, spatial and spatio-temporal risk analysis, and geographically weighted regression were used.
BMC Infect Dis
February 2022
Background: After 40 years of its starting, the HIV epidemic in Brazilian Amazon region remains on an increasing trend. The young men who have sex with men (MSM) have been the most impacted by the HIV in the last decade. However, much more than attributing the risk behavior to HIV uniquely to the individual, behaviors are shaped by social determinants of health (SDH).
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