Aids in the Brazilian Amazon

Epidemiological trends and disparities across states

Bibliographic Data

ID22090540
AuthorsThiago Augusto Ferreira dos Anjos (0000-0003-2286-9682, Instituto Evandro Chagas, corresponding author), Ana Paula Ferreira David (Universidade da Amazônia), Rayssa Cristina Da Silva (0009-0001-3498-5800, Universidade da Amazônia), Raphael Castelo Branco da Silva (0009-0005-0005-0782, Universidade da Amazônia), Ruth Stephany Costa Silva, Sebastião Kauã de Sousa Bispo (Instituto Evandro Chagas), Bruna Labibe Amin da Silva (Universidade da Amazônia), Adson Lucas Ferreira de Almeida (Universidade da Amazônia), Luiza Raquel Tapajós Figueira (0000-0003-1438-1687, Universidade do Estado do Pará), Marcos Jessé Abrahão Silva (0000-0003-2057-3474, Universidade do Estado do Pará), Daniele Melo Sardinha (0000-0002-2650-2354, Universidade do Estado do Pará), Lilian Cristina Santos sinfronio da Silva (Instituto Evandro Chagas), Rebecca Lobato Marinho (0000-0003-1294-4837, Universidade do Estado do Pará), Everaldina Cordeiro dos Santos (Universidade do Estado do Pará), Luana Nepomuceno Gondim Costa Lima (0000-0002-0642-4248, Universidade do Estado do Pará)
Year2025
Volume13
Pages1631596-1631596
Publication date2025-12-01
Open AccessYes
TypeARTICLE
VenueFrontiers in Public Health (JOURNAL)
Journal identifiersISSN: 2296-2565 • E-ISSN: 2296-2565
PublisherFrontiers Media SA (PUBLISHER • CH)
DOI10.3389/fpubh.2025.1631596
PMID41404554
OpenAlexW4416841328
LanguageEN
Citations received1
References cited15

Acquired Immunodeficiency Syndrome (AIDS), caused by the Human Immunodeficiency Virus (HIV), remains a major public health problem in Brazil. Infection rates vary greatly between regions and states. The North region, in particular, has a higher number of cases, making it a long-lasting challenge, especially in a region with many social and economic challenges. This ecological, descriptive, and analytical study examined AIDS trends across Northern Brazilian states from 2013 to 2023 using data from Brazil’s Notifiable Diseases Information System (SINAN), Mortality Information System (SIM) and national HIV/AIDS epidemiological reports. Our R-based analytical approach incorporated descriptive statistics, Joinpoint regression, linear modeling (calculating trend coefficients, determination coefficients, and p -values with significance at p 90% increase despite stable mortality rates. These findings emphasize important groups of cases and identify which states should prioritize public health efforts. This information can assist in more effectively allocating resources to areas with the most cases

Cluster analysis · Descriptive statistics · Epidemiological method · Epidemiological surveillance · Mortality rate · Public health · Spatial epidemiology · Indigenous Health and Education · Maternal and Neonatal Healthcare · Syphilis Diagnosis and Treatment · Epidemiology

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Open DOIOpen Access