Evidence map›Paper›PMID 26964429›Full record

ArticleLeprosy review2015

Human migration, railways and the geographic distribution of leprosy in Rio Grande do Norte State--Brazil.

Mauricio Lisboa Nobre, Kathryn Margaret Dupnik, Paulo José Lisboa Nobre, Márcia Célia Freitas De Souza, Nádia Cristina Dűppre, Euzenir Nunes Sarno, Selma Maria Bezerra Jerŏnimo

Abstract read
In one paragraph

Article in Leprosy review, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed, 1 pooled it
–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

7 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
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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

7 authors.

Mauricio Lisboa Nobre
Kathryn Margaret Dupnik
Paulo José Lisboa Nobre
Márcia Célia Freitas De Souza
Nádia Cristina Dűppre
Euzenir Nunes Sarno
Selma Maria Bezerra Jerŏnimo

Funding

T32: Pathogenesis of Infectious Diseases Training ProgramT32AI007613 · NIAID · WEILL MEDICAL COLL OF CORNELL UNIV · PI ROY M. GULICK · 1999 to 2026
$8.8M
Vanderbilt-Emory-Cornell-Duke Consortium for Global Health Fellows (VECDor)R25TW009337 · FIC · VANDERBILT UNIVERSITY MEDICAL CENTER · PI HEIMBURGER, DOUGLAS CORBETT, VERMUND, STEN H. · 2012 to 2016
$6.3M
FIC NIH HHS R25 TW009337NIAID NIH HHS T32 AI007613NIAID NIH HHS T32-AI007613Wellcome Trust
6 · The paper itself

Abstract

introductionLeprosy is a public health problem in Brazil where 31,044 new cases were detected in 2013. Rio Grande do Norte is a small Brazilian state with a rate of leprosy lower than other areas in the same region, for unknown reasons.

objectivesWe present here a review based on the analysis of a database of registered leprosy cases in Rio Grande do Norte state, comparing leprosy's geographic distribution among municipalities with local socio-economic and public health indicators and with historical documents about human migration in this Brazilian region.

resultsThe current distribution of leprosy in Rio Grande do Norte did not show correlation with socio-economic or public health indicators at the municipal level, but it appears related to economically emerging municipalities 100 years ago, with spread facilitated by railroads and train stations. Drought-related migratory movements which occurred from this state to leprosy endemic areas within the same period may be involved in the introduction of leprosy and with its present distribution within Rio Grande do Norte.

conclusionsLeprosy may disseminate slowly, over many decades in certain circumstances, such as in small cities with few cases. This is a very unusual situation currently and a unique opportunity for epidemiologic studies of leprosy as an emerging disease.

Indexed as

Human MigrationBrazilHumansLeprosyPublic HealthTravel

Identifiers

PMID26964429
PMCPMC5350582

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Registered trials

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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.