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Spatial distribution and temporal trends of AIDS in Brazil and regions between 2005 and 2020

OBJECTIVE: To analyze the spatial distribution and the temporal trend of the AIDS incidence rate in Brazil from 2005 to 2020. METHODS: This is an ecological, temporal, and spatial study on AIDS cases in Brazil. Data from the Notifiable Diseases Information System were stratified by year of diagnosis...

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Autores principales: Batista, Jefferson Felipe Calazans, Oliveira, Marília Ramalho, Pereira, Débora Lorena Melo, Matos, Maria Laura Sales da Silva, de Souza, Isabela Teles, Menezes, Max Oliveira
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Associação Brasileira de Saúde Coletiva 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9838234/
https://www.ncbi.nlm.nih.gov/pubmed/36629614
http://dx.doi.org/10.1590/1980-549720230002
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author Batista, Jefferson Felipe Calazans
Oliveira, Marília Ramalho
Pereira, Débora Lorena Melo
Matos, Maria Laura Sales da Silva
de Souza, Isabela Teles
Menezes, Max Oliveira
author_facet Batista, Jefferson Felipe Calazans
Oliveira, Marília Ramalho
Pereira, Débora Lorena Melo
Matos, Maria Laura Sales da Silva
de Souza, Isabela Teles
Menezes, Max Oliveira
author_sort Batista, Jefferson Felipe Calazans
collection PubMed
description OBJECTIVE: To analyze the spatial distribution and the temporal trend of the AIDS incidence rate in Brazil from 2005 to 2020. METHODS: This is an ecological, temporal, and spatial study on AIDS cases in Brazil. Data from the Notifiable Diseases Information System were stratified by year of diagnosis, region of the country/municipalities of residence, and age group (over 13 years). Incidence rates were calculated for temporal estimation using the Joinpoint model, as well as Spatial Empirical Bayes (SEB) for spatial distribution, using the Kernel density estimator. RESULTS: The incidence rate in Brazil, in 2020, was 17.69 cases per 100 thousand inhabitants. The general trend (2005–2020) was decrease in Brazil (Annual Percent Change – APC=-2.0%), in the Southeast (APC=-4.4%) and South (APC=-3.0%) regions. The North (APC=2.3%) showed an increase trend, whereas the Southeast and Midwest regions were stationary (p>0.05). Brazil, Southeast, South, and Midwest regions showed a decrease trend in most age groups. The Northeast and North regions showed an increase in the age groups of 13–29 years and 13–24 years, respectively. The Kernel estimator showed clusters with SEB above 30/10 thousand inhabitants in the states of Paraíba, Sergipe, Alagoas, Pernambuco, São Paulo, Minas Gerais, Pará, Rio Grande do Sul, and Santa Catarina. CONCLUSION: Brazil, the Southeast, and South regions showed a decrease in the incidence rate, whereas the North region increased and the Northeast and Midwest regions were stationary. The Southeast, South, and Northeast regions presented the largest clusters of SEB.
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spelling pubmed-98382342023-01-17 Spatial distribution and temporal trends of AIDS in Brazil and regions between 2005 and 2020 Batista, Jefferson Felipe Calazans Oliveira, Marília Ramalho Pereira, Débora Lorena Melo Matos, Maria Laura Sales da Silva de Souza, Isabela Teles Menezes, Max Oliveira Rev Bras Epidemiol Original Article OBJECTIVE: To analyze the spatial distribution and the temporal trend of the AIDS incidence rate in Brazil from 2005 to 2020. METHODS: This is an ecological, temporal, and spatial study on AIDS cases in Brazil. Data from the Notifiable Diseases Information System were stratified by year of diagnosis, region of the country/municipalities of residence, and age group (over 13 years). Incidence rates were calculated for temporal estimation using the Joinpoint model, as well as Spatial Empirical Bayes (SEB) for spatial distribution, using the Kernel density estimator. RESULTS: The incidence rate in Brazil, in 2020, was 17.69 cases per 100 thousand inhabitants. The general trend (2005–2020) was decrease in Brazil (Annual Percent Change – APC=-2.0%), in the Southeast (APC=-4.4%) and South (APC=-3.0%) regions. The North (APC=2.3%) showed an increase trend, whereas the Southeast and Midwest regions were stationary (p>0.05). Brazil, Southeast, South, and Midwest regions showed a decrease trend in most age groups. The Northeast and North regions showed an increase in the age groups of 13–29 years and 13–24 years, respectively. The Kernel estimator showed clusters with SEB above 30/10 thousand inhabitants in the states of Paraíba, Sergipe, Alagoas, Pernambuco, São Paulo, Minas Gerais, Pará, Rio Grande do Sul, and Santa Catarina. CONCLUSION: Brazil, the Southeast, and South regions showed a decrease in the incidence rate, whereas the North region increased and the Northeast and Midwest regions were stationary. The Southeast, South, and Northeast regions presented the largest clusters of SEB. Associação Brasileira de Saúde Coletiva 2023-01-06 /pmc/articles/PMC9838234/ /pubmed/36629614 http://dx.doi.org/10.1590/1980-549720230002 Text en https://creativecommons.org/licenses/by/4.0/All the contents of this journal, except where otherwise noted, is licensed under a Creative Commons Attribution License
spellingShingle Original Article
Batista, Jefferson Felipe Calazans
Oliveira, Marília Ramalho
Pereira, Débora Lorena Melo
Matos, Maria Laura Sales da Silva
de Souza, Isabela Teles
Menezes, Max Oliveira
Spatial distribution and temporal trends of AIDS in Brazil and regions between 2005 and 2020
title Spatial distribution and temporal trends of AIDS in Brazil and regions between 2005 and 2020
title_full Spatial distribution and temporal trends of AIDS in Brazil and regions between 2005 and 2020
title_fullStr Spatial distribution and temporal trends of AIDS in Brazil and regions between 2005 and 2020
title_full_unstemmed Spatial distribution and temporal trends of AIDS in Brazil and regions between 2005 and 2020
title_short Spatial distribution and temporal trends of AIDS in Brazil and regions between 2005 and 2020
title_sort spatial distribution and temporal trends of aids in brazil and regions between 2005 and 2020
topic Original Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9838234/
https://www.ncbi.nlm.nih.gov/pubmed/36629614
http://dx.doi.org/10.1590/1980-549720230002
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