Evidence map›Paper›PMID 31272437›Full record

ArticleBMC public health2019

Spatial and temporal analysis of tuberculosis in an area of social inequality in Northeast Brazil.

Shirley Verônica Melo Almeida Lima, Allan Dantas Dos Santos, Andrezza Marques Duque, Marco Aurélio de Oliveira Goes, Marcus Valerius da Silva Peixoto, Damião da Conceição Araújo, Caíque Jordan Nunes Ribeiro, Márcio Bezerra Santos, Karina Conceição Gomes Machado de Araújo, Marco Antônio Prado Nunes

Open access · goldAbstract read
In one paragraph

Article in BMC public health, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 25 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
25citing papers in PubMed, 1 pooled it
4.0field-weighted citation impact, top 5% 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

25 citing papers in PubMed, 1 synthesis or guideline pooled it, 63 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Article
  4. Rapid discrimination ofBMJ health & care informatics · 2025
    Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. A critical analysis of the decreasing trends in tuberculosis cure indicators in Brazil, 2001-2022.Jornal brasileiro de pneumologia : publicacao oficial da Sociedade Brasileira de Pneumologia e Tisilogia · 2024
    Article
  13. Article
  14. Time series of cases and treatment outcomes from tuberculosis in Sergipe, 2012-2021.Revista brasileira de epidemiologia = Brazilian journal of epidemiology · 2023
    Article
  15. Article
  16. Geographic patterns and hotspots of pediatric tuberculosis: the role of socioeconomic determinants.Jornal brasileiro de pneumologia : publicacao oficial da Sociedade Brasileira de Pneumologia e Tisilogia · 2023
    Article
  17. Article
  18. Article
  19. Article
  20. 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

10 authors at 1 institution in 1 country.

Shirley Verônica Melo Almeida LimaProgram in Health Sciences, Federal University of Sergipe, Brazil Cláudio Batista, s/n, Cidade Nova, Aracaju, SE, 49060-108, Brazil. shirleymelo.lima@gmail.com.ORCID http://orcid.org/0000-0002-9062-0742
Allan Dantas Dos SantosNursing Department, Federal University of Sergipe, Avenida Universitária Marcelo Deda Chagas, 330, Lagarto, SE, 49.400-000, Brazil.
Andrezza Marques DuqueProgram in Health Sciences, Federal University of Sergipe, Brazil Cláudio Batista, s/n, Cidade Nova, Aracaju, SE, 49060-108, Brazil.
Marco Aurélio de Oliveira GoesProgram in Health Sciences, Federal University of Sergipe, Brazil Cláudio Batista, s/n, Cidade Nova, Aracaju, SE, 49060-108, Brazil.
Marcus Valerius da Silva PeixotoProgram in Health Sciences, Federal University of Sergipe, Brazil Cláudio Batista, s/n, Cidade Nova, Aracaju, SE, 49060-108, Brazil.
Damião da Conceição AraújoProgram in Health Sciences, Federal University of Sergipe, Brazil Cláudio Batista, s/n, Cidade Nova, Aracaju, SE, 49060-108, Brazil.
Caíque Jordan Nunes RibeiroProgram in Health Sciences, Federal University of Sergipe, Brazil Cláudio Batista, s/n, Cidade Nova, Aracaju, SE, 49060-108, Brazil.
Márcio Bezerra SantosDepartment of Health education, Federal University of Sergipe, Avenida Universitária Marcelo Deda Chagas 330, Lagarto, SE, 49.400-000, Brazil.
Karina Conceição Gomes Machado de AraújoProgram in Health Sciences, Federal University of Sergipe, Brazil Cláudio Batista, s/n, Cidade Nova, Aracaju, SE, 49060-108, Brazil.
Marco Antônio Prado NunesProgram in Health Sciences, Federal University of Sergipe, Brazil Cláudio Batista, s/n, Cidade Nova, Aracaju, SE, 49060-108, Brazil.
Universidade Federal de Sergipe · BR

Funding

Coordenação de Aperfeiçoamento de Pessoal de Nível Superior 88881.187327/2018-01
6 · The paper itself

Abstract

backgroundTuberculosis is an infectious disease caused by Mycobacterium tuberculosis. It is a disease known worldwide for its vulnerability factors, magnitude and mortality. The objective of the study was to analyze the spatial and temporal dynamics of TB in the area of social inequality in northeast Brazil between the years 2001 and 2016.

methodsAn ecological time series study with the use of spatial analysis techniques was carried out from 2001 to 2016. The units of analysis were the 75 municipalities in the state of Sergipe. Data from the Notification of Injury Information System were used. For the construction of the maps, the cartographic base of the state of Sergipe, obtained at the Instituto Brasileiro de Geografia e Estatística, was used. Georeferenced data were analysed using TerraView 4.2.2 software (Instituto Nacional de Pesquisas Espaciais) and QGis 2.18.2 (Open Source Geospatial Foundation). Spatial analyses included the empirical Bayesian model and the global and local Moran indices. The time trend analyses were performed by the software Joinpoint Regression, Version 4.5.0.1, with the variables of sex, age, cure and abandonment.

resultsThere was an increasing trend of tuberculosis cases in patients under 20 years old and 20-39 years old, especially in males. Cured cases showed a decreasing trend, and cases of treatment withdrawal were stationary. A spatial dependence was observed in almost all analysed territories but with different concentrations. Significant spatial correlations with the formation of clusters in the southeast and northeast of the state were observed. The probability of illness among municipalities was determined not to occur in a random way.

conclusionThe identification of risk areas and priority groups can help health planning by refining the focus of attention to tuberculosis control. Understanding the epidemiological, spatial and temporal dynamics of tuberculosis can allow for improved targeting of strategies for disease prevention and control.

Indexed as

AdolescentAdultBayes TheoremBrazilCitiesFemaleHumansMaleMiddle AgedMycobacterium tuberculosisRisk FactorsSocioeconomic FactorsSpatio-Temporal AnalysisTuberculosisYoung AdultEpidemiologyPrevention and controlSpatial analysisTime series studiesTuberculosis

Identifiers

PMID31272437
PMCPMC6610860
OpenAlexW2954560200

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.