Evidence map›Paper›PMID 37122499›Full record

ArticleVeterinary medicine (Auckland, N.Z.)2023

Prevalence, Risk Factors and Control Practices of Livestock Hirudiniasis in Mirab Abaya District, Southern Ethiopia.

Wasihun Seyoum, Chilotaw Ejigu, Ephrem Tora

Open access · goldAbstract read
In one paragraph

Article in Veterinary medicine (Auckland, N.Z.), 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
0.5field-weighted citation impact, top 34% 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

2 citing papers in PubMed, 2 citations in OpenAlex.

  1. Article
  2. Article
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

3 authors at 1 institution in 1 country.

Wasihun SeyoumDepartment of Animal Science, College of Agricultural Sciences, Arba Minch University, Arba Minch, Ethiopia.ORCID 0000-0001-9613-1184
Chilotaw EjiguDepartment of Animal Science, College of Agricultural Sciences, Arba Minch University, Arba Minch, Ethiopia.
Ephrem ToraDepartment of Animal Science, College of Agricultural Sciences, Arba Minch University, Arba Minch, Ethiopia.ORCID 0000-0002-3115-0824
Arba Minch University · ET

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Purpose: Hirudiniasis is a disease in people and animals who have been infested by blood sucking leeches. In Ethiopia, it is a neglected disease, causing significant economic loss in the livestock industry. In the study area, information on livestock Hirudiniasis is very limited. Therefore, this study was conducted to assess livestock owners' awareness, knowledge, and control practices toward leech infestation, and to estimate the prevalence and associated risk factors of livestock Hirudiniasis. Methods: A cross-sectional study was carried out from February to September 2022 on domestic animals randomly selected from livestock owners of Mirab Abaya district, Southern Ethiopia. In total, 384 domestic animals were sampled and examined for the presence of leech infestation. A questionnaire survey was carried out on 150 livestock owners. Results: This study discovered a 13.54% (52/384) overall prevalence of livestock Hirudiniasis in the study area and the highest prevalence was observed in cattle (22.14%), followed by sheep (10%), goats (8.65%), and equines (5%). Conclusion: The present study showed that leeches were prevalent and significantly affects the health and productivity of livestock in the study area. Hence, cost-effective parasitic control measures need to be implemented to address the setback.

Indexed as

EthiopiaHirudiniasisleechlivestockprevalencerisk factors

Identifiers

PMID37122499
PMCPMC10132288
OpenAlexW4366768684

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.