Seroprevalence and Presumed Bovine Leukaemia Virus and Coxiella burnetii Coinfections in Three Dairy Cattle Herds From the Al Ain Region, United Arab Emirates.
Veterinary medicine and science·
- DOI
- 10.1002/vms3.71111
- PMID
- 42525471
- PMCID
- PMC13418860
- OpenAlex
- —
- Study type
- Cross-sectional study
- Publisher
- Publisher unavailable
- Article type
- journal-article
- Integrity
- current
Why this research matters now
The findings document serological evidence of exposure to both pathogens in dairy cattle, including C. burnetii, which the abstract identifies as having zoonotic transmission implications. The results may be relevant to animal-health and One Health evidence review, but they do not establish transmission to people or a causal relationship between the infections.
Structured evidence summary
Research question
The study estimated antibody prevalence for bovine leukaemia virus and Coxiella burnetii in dairy cattle in Abu Dhabi Emirate and assessed whether positive serostatus for the two pathogens was associated.
Study design
This was a cross-sectional study using ELISA testing of serum samples and logistic regression to evaluate the relationship between the two serostatus measures.
Population and setting
The sample comprised 492 adult Holstein-Friesian cattle from three dairy herds in the Al Ain region of the United Arab Emirates.
Main findings
Antibodies to bovine leukaemia virus and C. burnetii were detected in 47.0% and 49.4% of cattle, respectively, and 24.2% were positive for both. BLV-positive cattle had higher estimated odds of C. burnetii seropositivity, but the association was not statistically significant (OR 1.25, 95% CI 0.88-1.79; p = 0.2258).
Public-health relevance
The findings document serological evidence of exposure to both pathogens in dairy cattle, including C. burnetii, which the abstract identifies as having zoonotic transmission implications. The results may be relevant to animal-health and One Health evidence review, but they do not establish transmission to people or a causal relationship between the infections.
Important limitations
The cross-sectional design and non-significant association do not establish temporal order or causality. This summary is limited to the supplied single-article abstract and metadata; the original paper is required for decision-grade assessment of sampling, testing, analysis, and other study limitations.
GIDS interpretation
The article is discoverable under Q fever, the United Arab Emirates, surveillance, transmission dynamics, and One Health. These classifications provide context for retrieval and review only; the article does not confirm or explain a live surveillance signal.
Related GIDS surveillance
Literature context does not validate, explain, or change a surveillance signal. Exact and contextual relationships are shown separately.
Evidence relationships
This article has 8 auditable classifier relationships to diseases, places, topics, and study design.