Evidence map›Paper›PMID 42198672›Full record

ArticlePathogens (Basel, Switzerland)2026

Epidemiological Survey and Economic Impact of Ruminant Tuberculosis-like Lesions at Slaughterhouses in Two Areas of Northern Algeria (2019-2024): A One Health Assessment.

El-Hacene Balla, Omar Besseboua, Nadir Boudjlal Dergal, Sebastian Alexandru Popa, Abdelhanine Ayad

Abstract read
In one paragraph

Article in Pathogens (Basel, Switzerland), 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing 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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

5 authors.

El-Hacene BallaLaboratory of Applied Zoology and Animal Ecophysiology, Faculty of Nature and Life Sciences, University of Bejaia, Bejaia 06000, Algeria.
Omar BessebouaDepartment of Agronomic, Faculty of Nature and Life Sciences, University Mustapha Stambouli, Mascara 29000, Algeria.
Nadir Boudjlal DergalLaboratory of Biotechnology for Food Security and Energetic, Department of Biotechnology, Faculty of Natural and Life Sciences, University of Oran 1, Ahmed Ben Bella, Oran 31000, Algeria.ORCID 0000-0002-0945-2930
Sebastian Alexandru PopaDepartment of Animal Production and Veterinary Public Health, Faculty of Veterinary Medicine, University of Life Sciences "King Mihai I", Calea Aradului, no. 119, 300645 Timișoara, Romania.ORCID 0000-0002-1684-7324
Abdelhanine AyadLaboratory of Applied Zoology and Animal Ecophysiology, Faculty of Nature and Life Sciences, University of Bejaia, Bejaia 06000, Algeria.ORCID 0000-0002-9325-7889

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

This retrospective study evaluated the prevalence and economic impact of tuberculosis-likelesions (TB) in cattle, sheep, and goats slaughtered at municipal abattoirs in the provinces of Bejaia and Jijel between 2019 and 2024, and examined their ecological association with reported human tuberculosis (TB) cases. The overall prevalence of tuberculosis-like lesions in carcasses, lungs, and livers was 0.08%, 0.85%, and 0.19%, respectively, with cattle showing the highest lesionprevalence. Logistic regression analysis identified species, season, geographic location, and climatic factors as significant predictors of lesion occurrence. Analysis of human tuberculosis records revealed a strong ecological positive correlation (r = 0.81,

Indexed as

AbattoirsSheep DiseasesTuberculosisAlgeriaAnimalsCattleGoat DiseasesGoatsHumansPrevalenceRetrospective StudiesRuminantsSheepAlgeriaeconomic impactone healthruminantstuberculosis-like lesions

Identifiers

PMID42198672
PMCPMC13210063

What OpenQuestion holds

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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.