Evidence map›Paper›PMID 40288815›Full record

ArticleTropical medicine & international health : TM & IH2025

Co-endemicity of schistosomiasis and tegumentary leishmaniasis: Spatial co-clustering in endemic areas.

Genil Mororó Araújo Camelo, Jeferson Kelvin Alves de Oliveira Silva, Dharliton Soares Gomes, Laura Maggi, Stefan Michael Geiger, David Soeiro Barbosa, Deborah Aparecida Negrão-Corrêa

Abstract read
In one paragraph

Article in Tropical medicine & international health : TM & IH, 2025. 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
–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

1 citing paper in PubMed.

  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

7 authors.

Genil Mororó Araújo CameloDepartamento de Parasitologia, Instituto de Ciências Biológicas, Universidade Federal de Minas Gerais, Belo Horizonte, MG, Brazil.ORCID https://orcid.org/0000-0002-0501-2508
Jeferson Kelvin Alves de Oliveira SilvaDepartamento de Parasitologia, Instituto de Ciências Biológicas, Universidade Federal de Minas Gerais, Belo Horizonte, MG, Brazil.ORCID https://orcid.org/0000-0003-4194-7578
Dharliton Soares GomesDepartamento de Parasitologia, Instituto de Ciências Biológicas, Universidade Federal de Minas Gerais, Belo Horizonte, MG, Brazil.ORCID https://orcid.org/0000-0003-4181-2091
Laura MaggiDepartamento de Parasitologia, Instituto de Ciências Biológicas, Universidade Federal de Minas Gerais, Belo Horizonte, MG, Brazil.ORCID https://orcid.org/0000-0003-0868-6935
Stefan Michael GeigerDepartamento de Parasitologia, Instituto de Ciências Biológicas, Universidade Federal de Minas Gerais, Belo Horizonte, MG, Brazil.ORCID https://orcid.org/0000-0002-9741-2727
David Soeiro BarbosaDepartamento de Parasitologia, Instituto de Ciências Biológicas, Universidade Federal de Minas Gerais, Belo Horizonte, MG, Brazil.ORCID https://orcid.org/0000-0002-5241-5940
Deborah Aparecida Negrão-CorrêaDepartamento de Parasitologia, Instituto de Ciências Biológicas, Universidade Federal de Minas Gerais, Belo Horizonte, MG, Brazil.ORCID https://orcid.org/0000-0001-7670-5216

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectivesSchistosomiasis and tegumentary leishmaniasis simultaneously affect areas in tropical and subtropical regions. Co-infected individuals show a less-than-optimal response to treatment and increased regulatory immune responses. However, no study has determined where Schistosoma-Leishmania co-infections are more likely to occur.

methodsData from The Global Health Observatory were collected to determine the worldwide endemicity status of schistosomiasis and tegumentary leishmaniasis in 2023. To determine co-endemic areas at a local level, an ecological study was conducted on confirmed cases of American tegumentary leishmaniasis and schistosomiasis in the State of Minas Gerais, Brazil, between 2013 and 2017. Local Indicators of Spatial Association analyses were used to search for co-endemic hotspots.

resultsThirty-one countries were considered co-endemic, 23 of which presented active transmission of both diseases. Univariate Local Indicators of Spatial Association indicated 13 municipalities as high-high clusters for both American tegumentary leishmaniasis and schistosomiasis in Minas Gerais. Furthermore, bivariate Local Indicators of Spatial Association analyses identified 61 municipalities as high-high clusters, grouped in seven co-endemic hotspots.

conclusionLocal Indicators of Spatial Association analyses are a useful tool for identifying areas where co-infection cases are more likely to occur. Similar analyses will assist authorities and healthcare providers when formulating policies and treating Schistosoma-Leishmania co-infected patients and will provide valuable data to enable researchers to explore the impact of this and other co-infections.

Indexed as

CoinfectionEndemic DiseasesLeishmaniasis, CutaneousSchistosomiasisBrazilCluster AnalysisHumansSpatial Analysisbivariate LISA analysisco‐infectionLeishmanianeglected tropical diseasesSchistosomaspatial correlation

Identifiers

PMID40288815
PMCPMC12136941

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.