Your new experience awaits. Try the new design now and help us make it even better

ORIGINAL RESEARCH article

Front. Public Health

Sec. Infectious Diseases: Epidemiology and Prevention

Volume 13 - 2025 | doi: 10.3389/fpubh.2025.1631596

AIDS in the Brazilian Amazon: Epidemiological Trends and Disparities Across States

Provisionally accepted
Thiago  Augusto Ferreira dos AnjosThiago Augusto Ferreira dos Anjos1*Ana  Paula Ferreira DavidAna Paula Ferreira David2Ruth  Stephany Costa SilvaRuth Stephany Costa Silva2Sebastião  Kauã de Sousa BispoSebastião Kauã de Sousa Bispo1Bruna  Labibe Amin da SilvaBruna Labibe Amin da Silva1Adson  Lucas Ferreira de AlmeidaAdson Lucas Ferreira de Almeida1Luiza  Raquel Tapajós FigueiraLuiza Raquel Tapajós Figueira3Marcos  Jessé Abrahão SilvaMarcos Jessé Abrahão Silva3Daniele  Melo SardinhaDaniele Melo Sardinha3Lilian  Cristina Santos Sinfronio da SilvaLilian Cristina Santos Sinfronio da Silva1Rebecca  Lobato MarinhoRebecca Lobato Marinho3Everaldina  Cordeiro dos SantosEveraldina Cordeiro dos Santos3Luana  Nepomuceno Gondim Costa LimaLuana Nepomuceno Gondim Costa Lima1
  • 1Evandro Chagas Institute, Ananindeua, Brazil
  • 2Universidade da Amazonia, Ananindeua, Brazil
  • 3Programa de pos graduação em Biologia pararsitária - Instituto Evandro Chagas/Universidade do Estado do Para (IEC/UEPA), Belém - Pará, Brazil

The final, formatted version of the article will be published soon.

Word count: 168 Acquired Immunodeficiency Syndrome (AIDS), caused by the Human Immunodeficiency Virus (HIV), remains a significant public health issue in Brazil, demonstrating heterogeneous distribution across regions and states. The Northern Region has particularly high detection rates, emerging as a persistent challenge in an area characterized by structural inequalities and socioeconomic vulnerabilities. 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 Rbased analytical approach incorporated descriptive statistics, Joinpoint regression, linear modeling (calculating trend coefficients, determination coefficients, and p-values with significance at p<0.05), plus heatmap clustering with dendrograms to evaluate inter-state rate patterns. Spatial variation analysis revealed distinct epidemiological patterns: four states (Amazonas, Amapá, Tocantins, and Rondônia) showed declining detection rates, while Acre experienced a concerning >90% increase despite stable mortality rates. These findings identify critical case clusters and highlight states requiring targeted public health interventions, providing evidence for optimizing resource allocation in highprevalence areas.

Keywords: Epidemiology, Public Health Surveillance, indicators, aids, Programming Languages

Received: 20 May 2025; Accepted: 29 Aug 2025.

Copyright: © 2025 dos Anjos, David, Silva, Bispo, da Silva, de Almeida, Figueira, Silva, Sardinha, da Silva, Marinho, dos Santos and Lima. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.

* Correspondence: Thiago Augusto Ferreira dos Anjos, Evandro Chagas Institute, Ananindeua, Brazil

Disclaimer: All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article or claim that may be made by its manufacturer is not guaranteed or endorsed by the publisher.