Evidence map›Paper›PMID 41770437›Full record

SynthesisActa parasitologica2026

Echinococcosis in Humans and Animals in Algeria: A Systematic Review and Meta-analysis.

Chaima Fennouh, Safia Yousfi, Soumia Saadet, Imane Ouchetati, Omar Salhi, Nassim Ouchene, Nadjet Amina Khelifi Touhami

Abstract readMeta-AnalysisSystematic Review
PubMed Publisher
In one paragraph

Synthesis in Acta parasitologica, 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

7 authors.

Chaima FennouhInstitute of Veterinary Sciences, Saad Dahlab University of Blida, 1, Soumaa Street, BP 270, 09000, Blida, Algeria.
Safia YousfiDepartment of Biology, Faculty of Biological and Agronomical Sciences, Mouloud Mammeri University of Tizi Ouzou, 15000, Tizi Ouzou, Algeria.
Soumia SaadetEnvironment and Sustainable Development Laboratory, Faculty of Sciences of Nature and Life, University of Relizane, 48000, Burmadia, Algeria.
Imane OuchetatiLaboratory of Physical Chemistry and Biology of Materials, Department of Natural Sciences, City of Boucetta Brothers, Higher Normal School of Technological Education of Skikda, 21300, Azzaba, Algeria.
Omar SalhiInstitute of Veterinary Sciences, Saad Dahlab University of Blida, 1, Soumaa Street, BP 270, 09000, Blida, Algeria.
Nassim OucheneInstitute of Veterinary Sciences, Saad Dahlab University of Blida, 1, Soumaa Street, BP 270, 09000, Blida, Algeria.
Nadjet Amina Khelifi TouhamiInstitute of Veterinary Sciences, Saad Dahlab University of Blida, 1, Soumaa Street, BP 270, 09000, Blida, Algeria. khelifi_nadjet@univ-blida.dz.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundCystic echinococcosis (CE), caused by Echinococcus granulosus, remains an endemic yet insufficiently documented zoonotic disease in Algeria. This study provides the first nationwide systematic review and meta-analysis summarizing epidemiological data from 2003 to 2024 in humans and animals, as no relevant studies were available prior to 2003.

methodsA systematic search of nine databases (last updated: February 2025) was conducted following PRISMA 2020 guidelines. Studies were screened and selected based on predefined eligibility criteria, resulting in 26 studies (22 animal studies and 4 human studies). Data extraction was performed independently by two reviewers using a standardized form. Pooled prevalence estimates and 95% confidence intervals (CI) were calculated using a random-effects model. Heterogeneity was assessed using Cochran's Q, τ² and I² statistics. Subgroup analyses were conducted according to host species, region, and study period. Publication bias was evaluated with funnel plots and Egger's test. Human and animal datasets were analyzed separately to ensure comparability.

resultsA total of 764,040 animal samples were included, yielding an overall pooled prevalence of 4.69% (35,802 positive cases). The highest pooled prevalence was observed in dogs (16.9%). Among livestock, sheep showed the highest pooled prevalence (5.92%), followed by cattle, camels, and goats. Pooled estimates also indicated infection in horses (6.03%) and wild boars (6.31%), suggesting potential sylvatic transmission. Subgroup analyses revealed significantly higher pooled prevalence in southern regions (10.51%) and a declining temporal trend, from 14.1% in 2003-2009 to 6.09% in 2020-2024. Detection rates varied according to diagnostic methods, with ELISA and post-mortem examination yielding the highest pooled prevalences. All pooled estimates showed extreme heterogeneity (Cochran's Q = 27,254.50; I² = 99.92%), which persisted after Freeman-Tukey transformation. Egger's test indicated significant funnel-plot asymmetry (p = 0.0067), suggesting potential publication bias. Human data were limited to four studies, confirming the persistence of CE mainly in northern regions, but were insufficient to conduct meta-analysis.

conclusionCE remains endemic in Algeria, with pronounced spatial, temporal, and host-related variability. Dogs play a central role in transmission, while the scarcity of human data highlights critical surveillance gaps. A strengthened One Health strategy emphasizing dog deworming, improved slaughterhouse practices, and better diagnostic and reporting systems is urgently needed.

Indexed as

EchinococcosisZoonosesAlgeriaAnimalsCattleDogsEchinococcus granulosusHumansLivestockPrevalenceSheepAlgeriaCystic echinococcosisEchinococcosisEchinococcus granulosusMeta-analysisPrevalence

Identifiers

What OpenQuestion holds

Textmetadata
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.