Evidence map›Paper›PMID 40460209›Full record

ArticleVeterinary medicine and science2025

Assessment of Risk Factors Related to Environmental Factors and Herd Management for Bovine Respiratory Syncytial Virus and Bovine Parainfluenza Virus-3 Infections Frequently Observed in Beef and Dairy Cattle.

Ali Küçük, Yakup Yildirim, Bekir Çetintav

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Article in Veterinary medicine and science, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

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1citing papers in PubMed
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1 · What the graph read from it

What it found

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2 · The registry

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3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

3 authors.

Ali KüçükDepartment of Virology, Faculty of Veterinary Medicine, Burdur Mehmet Akif Ersoy University, Burdur, Turkey.ORCID 0000-0001-9929-1378
Yakup YildirimDepartment of Virology, Faculty of Veterinary Medicine, Burdur Mehmet Akif Ersoy University, Burdur, Turkey.ORCID 0000-0003-4299-4712
Bekir ÇetintavDepartment of Biostatistics, Faculty of Veterinary Medicine, Mehmet Akif Ersoy University, Burdur, Turkey.ORCID 0000-0001-7251-1211

Funding

Molecular Investigation and Phylogenetic Analysis of Parain fluenza Virus Type 3, Bovine Respiratory Syncytial Virusand Influenza D Virusin Cattle with Respiratory System InfectionScientific and Technological Research Council of Türkiye (TUBİTAK) Project No 123192
6 · The paper itself

Abstract

backgroundBovine Respiratory Disease Complex (BRDC) represents a multifactorial infection that poses a significant threat to animal health, leading to severe and fatal pneumonia outbreaks in large herds.

objectiveIn this study, the molecular diagnosis of Bovine Parainfluenza Virus Type 3 (BPIV3) and Bovine Respiratory Syncytial Virus (BRSV) was targeted in nasal swab samples collected from cattle with clinical signs of respiratory infections. Furthermore, this study aimed to identify possible environmental and herd management-related risk factors associated with the occurrence of these infections in herds/farms where BPIV3 and BRSV were detected, using statistical methods.

methodsTherefore, a total of 200 nasal swab samples were randomly collected from 24 different cattle herds with respiratory infection outbreaks, representing 10% of each herd population.

resultsIn the study, which utilized the RT-PCR technique, viral nucleic acid of BPIV3 was detected in 8% (16/200) of the samples, and BRSV was detected in 11.5% (23/200) of the samples. In addition, logistic regression models incorporating both fixed and multiple variables identified the following risk factors for BRSV infection: in the univariate regression analysis, quarantine status, air quality, the period of disease occurrence and previous occurrence of BRDC in the farm; and in the multivariate analysis, the disease period, herd size, bedding type and qualitative air quality were significant risk factors for the presence of infection in the sampled herds. For BPIV3, univariate regression analysis indicated that animal transport, housing type, ventilation and the duration from infection onset to sampling were risk factors, while in multivariate analysis, age, duration from infection onset to sampling, and air quality were identified as risk factors for infection in the sampled herds.

conclusionA statistical relationship was demonstrated between BRSV and BPIV3 infections in cattle and certain herd, environmental and infection-related factors, identifying these factors as risk factors contributing to the occurrence of these infections.

Indexed as

Animal HusbandryCattle DiseasesParainfluenza Virus 3, BovineRespiratory Syncytial Virus, BovineRespiratory Syncytial Virus InfectionsRespirovirus InfectionsAnimalsCattleDairyingFemaleRisk FactorsBPIV3BRSVCattleRisk FactorsRT‐PCR

Identifiers

PMID40460209
PMCPMC12132865

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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.