Evidence map›Paper›PMID 36449981›Full record

ArticleRevista brasileira de enfermagem2022

Geospatialization of tuberculosis and income transfer programs among Indigenous peoples in an endemic territory.

Ingrid Bentes Lima, Laura Maria Vidal Nogueira, Lidiane de Nazaré Mota Trindade, Ivaneide Leal Ataide Rodrigues, Suzana Rosa André, Ana Inês Sousa

Open access · goldAbstract read
In one paragraph

Article in Revista brasileira de enfermagem, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
0.5field-weighted citation impact, top 40% of its field
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

1 citing paper in PubMed, 4 citations in OpenAlex.

  1. 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 at 2 institutions in 1 country.

Ingrid Bentes LimaUniversidade do Estado do Pará. Belém, Pará, Brazil.ORCID http://orcid.org/0000-0001-7717-8219
Laura Maria Vidal NogueiraUniversidade do Estado do Pará. Belém, Pará, Brazil.ORCID http://orcid.org/0000-0003-0065-4509
Lidiane de Nazaré Mota TrindadeUniversidade Federal do Rio de Janeiro. Rio de Janeiro, Rio de Janeiro, Brazil.ORCID http://orcid.org/0000-0003-2202-8138
Ivaneide Leal Ataide RodriguesUniversidade do Estado do Pará. Belém, Pará, Brazil.ORCID http://orcid.org/0000-0001-9968-9546
Suzana Rosa AndréUniversidade Federal do Rio de Janeiro. Rio de Janeiro, Rio de Janeiro, Brazil.ORCID http://orcid.org/0000-0002-4219-9279
Ana Inês SousaUniversidade Federal do Rio de Janeiro. Rio de Janeiro, Rio de Janeiro, Brazil.ORCID http://orcid.org/0000-0002-0214-0723
Universidade do Estado do Pará · BRUniversidade Federal do Rio de Janeiro · BR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveTo analyze the spatial pattern of tuberculosis in Indigenous peoples from the State of Pará and its correlation with income transfer.

methodsEcological study, with 340 cases reported in Indigenous peoples in the State of Pará, Brazil, in the period 2016-2020. The study performed a descriptive analysis and calculation of incidence rates with smoothing by the local empirical Bayesian method. The Global Moran index assessed the autocorrelation of the rates with income transfer data, p<0,05.

resultsThe Marajó and metropolitan mesoregions of Belém had the highest tuberculosis rates, and a reduced number of people benefited from income transfer (high-low correlation). The study identified high rates, and a significant number of people benefited from financial aid (high correlation high), I=0.399, p=0.027 in the Southwest.

conclusionsThe spatial autocorrelation between tuberculosis and access to income transfer programs constitutes a relevant subsidy for the formulation of social protection policies and may impact the disease control actions in Indigenous territories, valuing the epidemiological heterogeneity identified in the mesoregions.

Indexed as

Indigenous PeoplesTuberculosisBayes TheoremHumansIncomePublic Policy

Identifiers

PMID36449981
PMCPMC9728875
OpenAlexW4310601933

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.