Evidence map›Paper›PMID 30274475›Full record

ArticleTropical medicine and infectious disease2018

Epidemiology and Spatiotemporal Patterns of Leprosy Detection in the State of Bahia, Brazilian Northeast Region, 2001⁻2014.

Eliana Amorim de Souza, Anderson Fuentes Ferreira, Jorg Heukelbach, Reagan Nzundu Boigny, Carlos Henrique Alencar, Alberto Novaes Ramos

Open access · goldAbstract read
In one paragraph

Article in Tropical medicine and infectious disease, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed, 1 pooled it
1.9field-weighted citation impact, top 15% 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

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

  1. Pooled it
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  3. Article
  4. Article
  5. Observational
  6. Article
  7. Article
  8. 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 2 countries.

Eliana Amorim de SouzaMultidisciplinary Institute for Health, Campus Anísio Teixeira, Federal University of Bahia, Vitória da Conquista BA 45.029-094, Brazil. amorim_eliana@yahoo.com.br.ORCID 0000-0002-9653-3164
Anderson Fuentes FerreiraDepartment of Community Health, School of Medicine, Federal University of Ceará, Fortaleza CE 60430-140, Brazil. anderson_deco.f2@hotmail.com.ORCID 0000-0002-1816-9459
Jorg HeukelbachDepartment of Community Health, School of Medicine, Federal University of Ceará, Fortaleza CE 60430-140, Brazil. heukelbach@web.de.
Reagan Nzundu BoignyDepartment of Community Health, School of Medicine, Federal University of Ceará, Fortaleza CE 60430-140, Brazil. reagan.nzundu@gmail.com.ORCID 0000-0002-4487-5509
Carlos Henrique AlencarDepartment of Community Health, School of Medicine, Federal University of Ceará, Fortaleza CE 60430-140, Brazil. carllosalencar@hotmail.com.ORCID 0000-0003-2967-532X
Alberto Novaes RamosDepartment of Community Health, School of Medicine, Federal University of Ceará, Fortaleza CE 60430-140, Brazil. novaes@ufc.br.ORCID 0000-0001-7982-1757
Universidade Federal do Ceará · BRUniversidade Federal da Bahia · BR

Funding

SUBTHRESHOLD MUSCLE AFFERENT INPUT TO DORSAL HORNF06TW002012 · FIC · UNIVERSITY OF CALIFORNIA DAVIS · PI KAUFMAN, MARC PETER · 1995 to 1995
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Conselho Nacional de Desenvolvimento Científico e Tecnológico 404505/2012-0
6 · The paper itself

Abstract

The detection of leprosy cases is distributed unequally in Brazil, with high-risk clusters mainly in the North and Northeast regions. Knowledge on epidemiology and spatiotemporal patterns of leprosy occurrence and late diagnosis in these areas is critical to improve control measures. We performed a study including all leprosy cases notified in the 417 municipalities of Bahia state, from 2001 to 2014. New case detection (overall and pediatric <15 years) and grade 2 disability (G2D) rates were calculated and stratified according to socio-demographic variables. Spatial analyses were performed to detect high-risk areas for occurrence and late diagnosis. A total of 40,060 new leprosy cases was reported in the period (mean = 2861 cases/year), 3296 (8.2%) in <15-year-olds, and 1921 (4.8%) with G2D. The new case detection rate was 20.41 cases/100,000 inhabitants (95% CI: 19.68⁻21.17). A higher risk was identified in older age groups (RR = 8.45, 95% CI: 7.08⁻10.09) and in residents living in the state capital (RR = 5.30, 95% CI: 4.13⁻6.79), in medium-sized cities (RR = 2.80; 95% CI: 2.50⁻3.13), and in the west (RR = 6.56, 95% CI: 5.13⁻8.39) and far south regions of the state (RR = 6.56, 95% CI: 5.13⁻8.39). A higher risk of G2D was associated with male gender (RR = 2.43, 95% CI: 2.20⁻2.67), older age (RR = 44.08, 95% CI: 33.21⁻58.51), Afro-Brazilian ethnicity (RR = 1.59; 95% CI: 1.37⁻1.85), living in medium-sized cities (RR = 2.60; 95% CI: 2.27⁻2.96) and residency in the north (RR = 5.02; 95% CI: 3.74⁻6.73) and far south (RR = 7.46; 95% CI: 5.58⁻9.98) regions. Heterogeneous space⁻time patterns of leprosy distribution were identified, indicating high endemicity, recent transmission, and late diagnosis. This heterogeneous distribution of the disease was observed throughout the study period. Leprosy remains a relevant public health problem in Bahia state. The disease has a focal distribution. We reinforce the importance of integrating surveillance, prevention and control actions in regions of higher risk of leprosy detection and late diagnosis, and in the most vulnerable populations.

Indexed as

Brazilepidemiologyleprosyprevention and controlspatial analysis

Identifiers

PMID30274475
PMCPMC6161284
OpenAlexW2885372598

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.