Evidence map›Paper›PMID 39829649›Full record

ArticleVeterinary world2024

Prevalence and risk factors of bovine leptospirosis in the Ecuadorian Amazon.

Edwin Muyulema, Marcelo Moscoso, Germán Barragán, Roberto Bustillos-Huilca, Jhuliana Luna-Herrera

Abstract read
In one paragraph

Article in Veterinary world, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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

5 authors.

Edwin MuyulemaDepartment of Livestock Sciences, Higher Polytechnic School of Chimborazo (ESPOCH), Riobamba 060106, Ecuador.
Marcelo MoscosoDepartment of Livestock Sciences, Higher Polytechnic School of Chimborazo (ESPOCH), Riobamba 060106, Ecuador.
Germán BarragánSchool of Veterinary Medicine, National University of Loja (UNL), Loja 1101608, Ecuador.
Roberto Bustillos-HuilcaSchool of Veterinary Medicine, National University of Loja (UNL), Loja 1101608, Ecuador.
Jhuliana Luna-HerreraSchool of Veterinary Medicine, National University of Loja (UNL), Loja 1101608, Ecuador.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background and Aim: Leptospirosis is an infectious zoonotic disease that significantly affects animal health, particularly the reproduction of ruminants. However, some aspects of epidemiology and clinical characteristics have not been clarified. This study aimed to estimate the prevalence and identify risk factors of leptospirosis in female bovines at reproductive age in the Ecuadorian Amazon rainforest. Materials and Methods: A total of 213 bovines were studied in the Amazon province of Zamora Chinchipe, in which a microscopic agglutination test was used to diagnose a panel of eight serovars of Results: The prevalence of bovine leptospirosis was 12.21% (26/213), with positive reactions in the Australis, Sejroe, Bataviae, Canicola, and Tarassovi serovars. No variables were considered risk factors, nor clinical signs associated with the infection, nor were there differences in the hematological parameters between the seropositive and seronegative animals. Conclusion: These findings indicate the persistence of Leptospira on cattle farms in the Ecuadorian Amazon and highlight the interaction between domestic and wild species. It is crucial to implement control measures and improvements in management practices under the One Health approach to reduce accidental infections from contact with wildlife; the awareness of farmers is essential for effective prevention.

Indexed as

amazon regionbovineleptospirosis

Identifiers

PMID39829649
PMCPMC11736359

What OpenQuestion holds

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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.