Evidence map›Paper›PMID 42598006›Full record

ArticleIranian journal of parasitology

The Seroprevalence of Canine Leishmaniasis and a Retrospective Survey of Human Leishmaniasis in the Constantine Region of Algeria.

Nazim Messaoudi, Samir Djemai, Fayçal Zeroual, Noureddine Zeghilet, Abdelfateh Beghriche, Latifa Boultif, Adam Borhan Eddine Bessou

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Article in Iranian journal of parasitology. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

What it found

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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

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

7 authors.

Nazim MessaoudiDepartment of Veterinary Sciences, Faculty of Life and Nature Sciences, Chadli Bendjedid El-Tarf University, Laboratory on Biodiversity and Ecosystem's Pollution, Eltarf, Algeria.
Samir DjemaiInstitute of Veterinary Sciences-El Khroub, University of Constantine 1, Constantine, Algeria.
Fayçal ZeroualDepartment of Veterinary Sciences, Faculty of Life and Nature Sciences, Chadli Bendjedid El-Tarf University, Laboratory on Biodiversity and Ecosystem's Pollution, Eltarf, Algeria.
Noureddine ZeghiletInstitute of Veterinary Sciences-El Khroub, University of Constantine 1, Constantine, Algeria.
Abdelfateh BeghricheDepartment of Mathematics, Faculty of Exact Sciences, University the Brothers Mentouri Constantine 1, Algeria.
Latifa BoultifLaboratoire de Recherche de Pathologie Animale Développement Des Elevages Et Surveillance de La Chaine Alimentaire Des Denrées Animales Ou d'origine Animale (PADESCA laboratory), Institute of Veterinary Sciences, University of Constantine1, Constantine, Algeria.
Adam Borhan Eddine BessouDepartment of Veterinary Sciences, Faculty of Life and Nature Sciences, Chadli Bendjedid El-Tarf University, Laboratory on Biodiversity and Ecosystem's Pollution, Eltarf, Algeria.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: In Algeria, leishmaniasis is characterized by an endemic nature, which appears in humans in the two known forms: visceral leishmaniasis (VL) and cutaneous leishmaniasis (CL). This study aimed to determine the seroprevalence of canine leishmaniasis within a group of dogs and the incidence of human leishmaniasis. Methods: We performed a serological survey of canine leishmaniasis (CanL) in 84 asymptomatic dogs in Constantine wilaya (north-west of Algeria). The collected dog sera were tested by the indirect ELISA method. The study considered multiple risk factors, including the breed, sex, age, and location of the dogs. The dogs whose blood samples were taken during this survey came from the following municipalities in Constantine: El-Khroub, Ali Mendjeli, Zighoud Youcef, Aïn Smara, Hamma Bouziane, Didouche Mourad, and Constantine. In parallel, an epidemiological study of human leishmaniasis in the Constantine region was conducted. We collected retrospective data on the two forms of human leishmaniasis from Constantine's Department of Public Health between 2016 and 2024. Results: The incidence of CanL observed in the study was 8.33% (with 7 dogs testing positive. During the nine-year study period, 136 cases of CL and VL were recorded. The predominance of CL (with 124 cases, 91.18%) over VL (12 cases, 8.82%) was statistically significant (χ Conclusion: The high seroprevalence of leishmaniasis in asymptomatic owned dogs, along with the significant frequency of human cases of CL and VL in the Constantine region, indicated that leishmaniasis remained a major public health problem in Algeria.

Indexed as

AlgeriaDogsIndirect ELISALeishmaniasisPublic health

Identifiers

PMID42598006
PMCPMC13471045

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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.