Evidence map›Paper›PMID 41069734›Full record

ArticleJournal of advanced veterinary and animal research2025

Socio-epidemiological study of bovine brucellosis: Seasonal cattle migration in Myanmar.

Su Su Hlaing, Hiroichi Kono

Abstract read
In one paragraph

Article in Journal of advanced veterinary and animal research, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper, 1 of them a synthesis that pooled it.

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

1 citing paper in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
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.

Su Su HlaingGraduate School of Animal and Veterinary Sciences and Agriculture, Obihiro University of Agriculture and Veterinary Medicine, Obihiro, Japan.ORCID https://orcid.org/0000-0001-6399-4143
Hiroichi KonoDepartment of Agro-Environmental Science, Obihiro University of Agriculture and Veterinary Medicine, Obihiro, Japan.ORCID https://orcid.org/0000-0002-5660-3148

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objective: Animal migration can spread different diseases from farm to farm without being noticed. Despite bovine brucellosis being endemic in Myanmar, seroprevalence and risk related to farmers' behaviors and cattle migration remain unclear. Thus, understanding brucellosis in seasonal cattle migration is essential to avoid negative economic and public health outcomes. As seasonal cattle movement is done to satisfy local environmental limits, Brucellosis is predisposed in cattle herds of the Central Dry Zone of the country. Materials and Methods: In this study, farmer characteristics and seasonal cattle movement practices were investigated for bovine brucellosis prevalence in three Central Myanmar regions from July to August 2022. Blood samples were taken for the Rose Bengal Plate Test to detect brucellosis prevalence. Results: Seasonal migratory farmers had a lower education level, more family members, more cattle heads, and higher income from cattle raising. Influences on disease knowledge included frequent veterinary access (7.02%) and limited disease control training (17.39%). Young farmers with low educational level ( Conclusion: This study found that farmers' characteristics, migratory practices, migration distance, and abortion history influence Brucellosis prevalence at the farm level. Migratory farmers need farmer collaboration and veterinary training to learn effective farming practices. Access to veterinary services and farmer awareness campaigns about livestock migration risks are essential.

Indexed as

Bovine brucellosisCattle migrationfarmers’ characteristicsMyanmar

Identifiers

PMID41069734
PMCPMC12506768

What OpenQuestion holds

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LicenceCC BY
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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.