Evidence map›Paper›PMID 35128112›Full record

ArticleHeliyon2022

Ethnozoological study of medicinal animals and animals' products used by traditional medicinal practitioners and indigenous people in Motta city administration and Hulet Eju Enessie District, East Gojjam, Northwest Ethiopia.

Dehnnet Abebe, Yalew Molla, Anteneh Belayneh, Bekalu Kebede, Melese Getachew, Yigardush Alimaw

Abstract read
In one paragraph

Article in Heliyon, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed
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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

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3 · Its place in the literature

Who cites it

10 citing papers in PubMed.

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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

6 authors.

Dehnnet AbebeDepartment of Pharmacy, Debre Markos University, Ethiopia.
Yalew MollaDepartment of Pharmacy, Debre Markos University, Ethiopia.
Anteneh BelaynehDepartment of Pharmacy, Debre Markos University, Ethiopia.
Bekalu KebedeDepartment of Pharmacy, Debre Markos University, Ethiopia.
Melese GetachewDepartment of Pharmacy, Debre Markos University, Ethiopia.
Yigardush AlimawDepartment of Sociology, Debre Markos University, Ethiopia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundIn Ethiopia, many ethnic communities use traditional/indigenous medicine for primary health care. However, this indigenous medicinal practice is being neglected and continued to be lost due to poor documentation as they are transferred from generation to generation through oral tradition. Therefore, this ethnozoological study aimed to assess and document the medicinal use of animals and animals' products used by traditional medicinal practitioners and indigenous people in Motta city administration and Hulet Eju Enessie Districts, East Gojjam Zone, Ethiopia.

methodsCross-sectional ethnozoological survey was conducted using a Semi-structured questionnaire among purposively selected respondents in Motta city administration and Hulet Eju Enessie District, East Gojjam Zone, Ethiopia from September 2020 to June 2021 GC. The ethnozoological data were analyzed using SPSS version 26 and Microsoft Excell Spreadsheet. Fidelity level, use-value, and informant consensus factor were determined.

resultsA total of 25 animal species were reported to be used for the treatment of different ailments by 33 informants. The majority of animals (64%) were mammals followed by birds (16%). The fidelity level ranged from 18.2 (Hyena for bad spirit) to 100% (stingless be for asthma, Tiger for rabies virus, Whisper for nightmare).

conclusionThis study showed the wide use of medicinal animals and their parts/products for meeting the primary healthcare needs of the community in the study area. Therefore, this ethnozoological medicinal knowledge needs to be integrated with modern medicine to use animals/animals' products as a potential source of effective drugs for different ailments.

Indexed as

EthnozoologyFidelity levelIndigenous knowledgeInformant consensus factorMedicinal animalsUse-value

Identifiers

PMID35128112
PMCPMC8808067

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LicenceCC BY-NC-ND
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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.