Evidence map›Paper›PMID 36136636›Full record

ArticleTropical medicine and infectious disease2022

The Temporal and Spatial Epidemiology Employed in the Elimination of the HIV Epidemic in the Largest Capital of the Brazilian Rainforest.

Bruna Rafaela Leite Dias, Taymara Barbosa Rodrigues, Dulce Gomes, Ricardo Alexandre Arcêncio, Elucir Gir, Glenda Roberta Oliveira Naiff Ferreira, Sandra Helena Isse Polaro, Eliã Pinheiro Botelho

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Article in Tropical medicine and infectious disease, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

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

What it found

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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

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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

1 citing paper in PubMed.

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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

8 authors.

Bruna Rafaela Leite DiasGraduate Nursing Program, Federal University of Pará, Belem 66075-110, Brazil.ORCID 0000-0001-9900-1860
Taymara Barbosa RodriguesGraduate Nursing Program, Federal University of Pará, Belem 66075-110, Brazil.
Dulce GomesDepartment of Mathematics, Luís António Verney College, University of Évora, 7000-671 Evora, Portugal.
Ricardo Alexandre ArcêncioDepartment of Maternal-Infant and Public Health Nursing, College of Nursing at Ribeirao Preto, University of São Paulo, Ribeirão Preto 14040-902, Brazil.ORCID 0000-0003-4792-8714
Elucir GirDepartment of Maternal-Infant and Public Health Nursing, College of Nursing at Ribeirao Preto, University of São Paulo, Ribeirão Preto 14040-902, Brazil.
Glenda Roberta Oliveira Naiff FerreiraGraduate Nursing Program, Federal University of Pará, Belem 66075-110, Brazil.
Sandra Helena Isse PolaroGraduate Nursing Program, Federal University of Pará, Belem 66075-110, Brazil.
Eliã Pinheiro BotelhoGraduate Nursing Program, Federal University of Pará, Belem 66075-110, Brazil.ORCID 0000-0002-9682-6530

Funding

Coordenação de Aperfeicoamento de Pessoal de Nível Superior 88881.200527/2018-01
6 · The paper itself

Abstract

backgroundThe main goal of this study was to analyze the human immunodeficiency virus (HIV) epidemic temporally and spatially in Belém from 2007 to 2018.

methodsThe incidence rates were analyzed according to time using autoregressive integrated moving-average models, as well as spatially using spatial autocorrelation, Kernel density, scan statistics, and regression techniques.

resultsDuring the study period, 6007 notifications of new cases of HIV/AIDS were reported. The time series analysis revealed a stabilized trend of incidence from 2007 to October 2016, followed by irregular fluctuations until the end of December 2018. Seasonal behavior was observed from 2019 to 2022. The high-high incidence clusters were found in the central and transition areas. An expansion of the number of new reported cases was observed in the central area. Three spatial risk zones were observed. The higher relative risk zone was concentrated in the transition area. The spatial regression showed that the incidence rates were positively correlated with the Family Health Strategy (FHS) coverage.

conclusionsTo eliminate HIV in Belém, it will be necessary to decentralize testing and ART and expand the coverage of FHS to ensure universal access to healthcare for citizens.

Indexed as

acquired immunodeficiency syndromeepidemicsHIVsocial determinants of healthspatial analysistime series analysis

Identifiers

PMID36136636
PMCPMC9505481

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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.