Evidence map›Paper›PMID 36685471›Full record

ArticleHeliyon2023

An ethnozoological study of traditional medicinal animals and their products from Wolaita, Southern Ethiopia.

Abenezer Wendimu, Wondimagegnehu Tekalign

Open access · goldAbstract read
In one paragraph

Article in Heliyon, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
1.7field-weighted citation impact, top 15% of its field
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

7 citing papers in PubMed, 9 citations in OpenAlex.

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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 at 1 institution in 1 country.

Abenezer WendimuWolaita Sodo University, Natural and Computational Sciences College, Biology Department, PO Box 138, Wolaita Sodo, Ethiopia.
Wondimagegnehu TekalignWolaita Sodo University, Natural and Computational Sciences College, Biology Department, PO Box 138, Wolaita Sodo, Ethiopia.
Wolaita Sodo University · ET

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Ethiopia has a diverse set of floral and faunal resources that are used for primary health care in traditional or indigenous medicine. However, because they are passed down orally from one generation to the next, this indigenous medical practice is being ignored and is continuing to disappear. As a result, the goal of this ethnozoological study was to assess and document traditional healers' and indigenous people's knowledge in use of animal parts or products for medical purposes in the Diguna Fango District of Wolaita, Ethiopia. Materials and methods: From March 2021 to June 2021, a field survey was conducted using personal interviews, semistructured questionnaires, and open group discussions utilizing a cross-sectional study approach. Totally, two hundred informants (125 men and 75 women) were provided information on the medicinal uses of various animals. Using a Microsoft Excel spreadsheet, the collected ethnozoological data were analyzed. The informant consensus factor, use value, and degree of fidelity were all determined. Results: More than 50 different human ailments were treated using 39 different animal parts or products. Mammals had the highest use rate (N = 26, 66.67%). In the category of treating endocrine, metabolic, and nutritional diseases, Conclusions: The findings revealed that the study area contains a wealth of ethnozoological knowledge that could be useful in the formulation of novel drugs. The findings of the study should therefore be put to use in prospective ethnozoological, ethnopharmacological, and conservation-related studies in the region.

Indexed as

EthnozoologyFolk medicineIndigenous knowledgeMedicinal animalsTraditional medicineZootherapy

Identifiers

PMID36685471
PMCPMC9849993
OpenAlexW4313334261

What OpenQuestion holds

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LicenceCC BY
Read underepoch 390

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.