Evidence map›Paper›PMID 36629614›Full record

ArticleRevista brasileira de epidemiologia = Brazilian journal of epidemiology2023

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

Jefferson Felipe Calazans Batista, Marília Ramalho Oliveira, Débora Lorena Melo Pereira, Maria Laura Sales da Silva Matos, Isabela Teles de Souza, Max Oliveira Menezes

Abstract read
In one paragraph

Article in Revista brasileira de epidemiologia = Brazilian journal of epidemiology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

9 citing papers in PubMed.

  1. Article
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  7. Article
  8. Quality of healthcare services to reduce leprosy in Brazil: a trend analysis from 2001 to 2020.Revista brasileira de epidemiologia = Brazilian journal of epidemiology · 2024
    Article
  9. HIV and AIDS in the state of Paraná, Brazil, 2007-2022: trends and spatiotemporal distribution.Revista brasileira de epidemiologia = Brazilian journal of epidemiology · 2024
    Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

6 authors.

Jefferson Felipe Calazans BatistaUniversidade Tiradentes - Aracaju (SE), Brazil.ORCID http://orcid.org/0000-0002-3681-7990
Marília Ramalho OliveiraUniversidade Estadual do Maranhão - Caxias (MA), Brazil.ORCID http://orcid.org/0000-0002-2700-7080
Débora Lorena Melo PereiraUniversidade Federal do Maranhão - São Luis (MA), Brazil.ORCID http://orcid.org/0000-0001-7883-1830
Maria Laura Sales da Silva MatosUniversidade Estadual do Maranhão - Caxias (MA), Brazil.ORCID http://orcid.org/0000-0003-3504-8816
Isabela Teles de SouzaUniversidade Tiradentes - Aracaju (SE), Brazil.ORCID http://orcid.org/0000-0002-9229-9323
Max Oliveira MenezesUniversidade Tiradentes - Aracaju (SE), Brazil.ORCID http://orcid.org/0000-0001-7660-4458

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveTo analyze the spatial distribution and the temporal trend of the AIDS incidence rate in Brazil from 2005 to 2020.

methodsThis 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.

resultsThe 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.

conclusionBrazil, 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.

Indexed as

Acquired Immunodeficiency SyndromeAdolescentAdultBayes TheoremBrazilHumansIncidenceInformation SystemsYoung Adult

Identifiers

PMID36629614
PMCPMC9838234

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.