Evidence map›Paper›PMID 40950934›Full record

ReviewHealth science reports2025

Prevalence and Risk Factors of Tungiasis Among Selected Regions of Ethiopia: A Meta-Analysis.

Abayeneh Girma, Indiris Abdu

Abstract readReview
In one paragraph

Review in Health science reports, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed, 1 pooled it
–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

2 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Review
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

2 authors.

Abayeneh GirmaDepartment of Biology, College of Natural and Computational Sciences Mekdela Amba University Tulu Awuliya Ethiopia.ORCID https://orcid.org/0000-0001-6155-315X
Indiris AbduDepartment of Biology, College of Natural and Computational Sciences Mekdela Amba University Tulu Awuliya Ethiopia.ORCID https://orcid.org/0000-0002-0023-6676

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background and Aims: Tungiasis, caused by the female sand flea Tunga penetrans, is a neglected tropical disease (NTD) with substantial health and socioeconomic burdens in low- and middle-income countries (LMICs). This systematic review and meta-analysis aimed to estimate the pooled prevalence of tungiasis and identify associated risk factors in Ethiopia's Oromia and Southern Nations, Nationalities, and Peoples' Region (SNNPR). Methods: We systematically searched Scopus, Web of Science, PubMed, Science Direct, and African Journal Online (AJOL) for studies published between October 2015 and September 2024. Study quality was assessed using the Joanna Briggs Institute (JBI) critical appraisal checklist. A random-effects meta-analysis model was employed to account for heterogeneity, quantified using Results: Across eight studies ( Conclusion: This meta-analysis demonstrates a significant burden of tungiasis in Ethiopia's Oromia and SNNPR regions. Therefore, we recommend implementing integrated interventions that combine: (1) provision of community-based health education programs to improve prevention awareness, (2) distribution of protective footwear to high-risk populations, (3) housing improvements focusing on floor hardening, (4) expanded access to safe treatment modalities, and (5) targeted animal reservoir control measures. Such coordinated efforts, embedded within existing NTD control platforms, could substantially reduce tungiasis transmission while addressing the socioeconomic determinants that perpetuate high infection rates in these endemic regions.

Indexed as

Ethiopiafleasneglected tropical diseasesparasitesskin diseasetungiasis

Identifiers

PMID40950934
PMCPMC12426483

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Registered trials

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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.