Evidence map›Paper›PMID 38232240›Full record

ArticleEpidemiologia e servicos de saude : revista do Sistema Unico de Saude do Brasil2024

Characterization of cases and epidemiological and operational indicators of leprosy: analysis of time series and spatial distribution, Piauí state, Brazil, 2007-2021.

Ian da Costa Araújo Barros, Carliane da Conceição Machado Sousa, Neylany Raquel Ferreira da Silva, Márcio Dênis Medeiros Mascarenhas

Open access · diamondAbstract read
In one paragraph

Article in Epidemiologia e servicos de saude : revista do Sistema Unico de Saude do Brasil, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
2.3field-weighted citation impact, top 13% 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

6 citing papers in PubMed, 6 citations in OpenAlex.

  1. Spatiotemporal heterogeneity of gestational syphilis in the 1st Health Region of Pará in the Brazilian Amazon.Brazilian journal of medical and biological research = Revista brasileira de pesquisas medicas e biologicas · 2026
    Article
  2. Spatial and temporal distribution of neglected tropical diseases: overlap analysis, Piauí, 2013-2022.Epidemiologia e servicos de saude : revista do Sistema Unico de Saude do Brasil · 2026
    Article
  3. Article
  4. Article
  5. Article
  6. Quality of healthcare services to reduce leprosy in Brazil: a trend analysis from 2001 to 2020.Revista brasileira de epidemiologia = Brazilian journal of epidemiology · 2024
    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

4 authors at 1 institution in 1 country.

Ian da Costa Araújo BarrosUniversidade Federal do Piauí, Curso de Graduação em Medicina, Teresina, PI, Brazil.ORCID 0000-0003-4844-7234
Carliane da Conceição Machado SousaUniversidade Federal do Piauí, Programa de Pós-graduação em Saúde e Comunidade, Teresina, PI, Brazil.ORCID 0000-0002-6766-0500
Neylany Raquel Ferreira da SilvaUniversidade Federal do Piauí, Programa de Pós-graduação em Saúde e Comunidade, Teresina, PI, Brazil.ORCID 0000-0003-2138-8203
Márcio Dênis Medeiros MascarenhasUniversidade Federal do Piauí, Centro de Inteligência em Agravos Tropicais Emergentes e Negligenciados, Teresina, PI, Brasil.ORCID 0000-0001-5064-2763
Universidade Federal do Piauí · BR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveTo analyze epidemiological characteristics, temporal trends and spatial distribution of leprosy cases and indicators in the state of Piauí, 2007-2021.

methodsThis was an ecological time-series study using data from the Notifiable Health Conditions Information System, describing the spatial distribution and the temporal trend of leprosy using Prais-Winsten regression.

resultsA total of 17,075 new cases of leprosy were reported. There was a falling trend in the overall detection rate [annual percentage change (APC) = -6.3; 95%CI -8.1;-4.5)], detection in children under 15 years of age (APC = -8,6; 95%CI -12,7;-4,3) and detection of cases with grade 2 physical disability (APC = -4,4; 95%CI -7,0;-1,8). There was a rising trend in the proportion of multibacillary cases. Spatial distribution of the average detection rate identified hyperendemic areas in the Carnaubais, Entre Rios, Vale dos Rios Piauí e Itaueiras regions.

conclusionHigh leprosy detection rates were found, despite the falling trend of indicators, except the proportion of multibacillary cases. MAIN

resultsBetween 2007 and 2021, Piauí showed an improving trend in all indicators analyzed, except the proportion of new multibacillary cases. Spatial distribution identified hyperendemic areas in different regions of the state. IMPLICATIONS FOR SERVICES: This study provides health services with a broad overview of the epidemiological situation of leprosy in Piauí, with evidence of the populations and locations most affected by the disease, whereby public authorities need to reinforce the promotion of health actions. PERSPECTIVES: It is expected that actions to prevent and control the disease will be adopted, such as offering early diagnosis, ensuring correct treatment and implementing measures to prevent physical disabilities.

Indexed as

LeprosyPersons with DisabilitiesBrazilChildHumansTime Factors

Identifiers

PMID38232240
PMCPMC10807012
OpenAlexW4390886711

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.