Herd-level risk factors for bovine viral diarrhea virus infection in dairy herds from Southern Brazil

Almeida, Laura Lopes de; Miranda, Igor Cesar Santos de; Hein, Héber Eduardo; Neto, Waldemir Santiago; Costa, Eduardo de Freitas; Marks, Fernanda Simone; Rodenbusch, Carla Rosane; Canal, Cláudio Wageck; Corbellini, Luís Gustavo

doi:10.1016/j.rvsc.2013.08.009

Cited by 42 publications

(34 citation statements)

References 39 publications

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…Risk factors to BVDV occurrence in cattle might vary from place to place. For example, a study by Almeida et al 17 in Southern Brazil had hypothesized that artificial insemination (AI) technicians as contributing factors to introduce the virus into farms through clothes, shoes and contaminated equipment. However, this factor is only important in countries where AI practice is very popular such as most Western countries, but not in Malaysia's cattle industry where AI service is very limited.…”

Section: Discussionmentioning

confidence: 99%

“…Hence, further study on the association considering the various stages of pregnancy is needed to explain the difference in prevalence of BVDV in term of pregnancy status of the animal. The possible explanation for the observed significant association between seropositivity and lactation might be due to the higher risk of getting infection from the workers that milked the cows as the virus can easily be transmitted through fomites such as contaminated cloth or equipment 17,25 which are used during the milking process.…”

Section: Discussionmentioning

confidence: 99%

See 1 more Smart Citation

Seroprevalence of Bovine Viral Diarrhea Virus Infection and Associated Risk Factors in Cattle in Selangor, Malaysia

Daves¹,

Yimer²,

Arshad³

et al. 2016

Vet Med Open J

View full text Add to dashboard Cite

Research ABSTRACTThe aim of this study was to investigate Seroprevalence of Bovine Viral Diarrhea Virus (BVDV) infection in cattle in the state of Selangor, Malaysia and associated risk factors. A total of 407 blood samples were collected from five selected farms within Selangor. Sampled animals were identified for their breed, age, lactation and pregnancy status. The plasma extracted from blood samples were used for detection of antibody against BVDV using an ELISA test kit (Prio-CHECK ® BVDV antibody) following the manufacturer's protocol. Results demonstrated an overall 33.2% (135/407) prevalence of BVDV antibody; with four of the farms tested positive. Prevalence in one farm reached 75.9% (66/87) which was higher than the other four farms with a prevalence of 26.0% (66/254), 13.3% (2/15), 2.8% (1/36) and 0% (0/15). Animals grouped according to breed, age, lactation and pregnancy status showed significant variation in BVDV prevalence. Higher number of adults (36.7%) than young calves (15.2%), pregnant (42.9%) than non-pregnant (31.1%) and more lactating (51.1%) than non-lactating (25.8%) cows, were affected (p<0.05). Friesian-Sahiwal and Jersey cattle were the most affected while the local Kedah-Kelantan cattle were the least affected. In conclusion, the study revealed immense exposure of cattle in Selangor to BVDV infection that varied with breed, age, lactation, and pregnancy status of the animals. As to our knowledge, this is the first report on BVDV status in cattle in Malaysia and the seroprevalence result would serve as a baseline data for further investigation on the disease.

show abstract

Section: Discussionmentioning

confidence: 99%

Section: Discussionmentioning

confidence: 99%

Seroprevalence of Bovine Viral Diarrhea Virus Infection and Associated Risk Factors in Cattle in Selangor, Malaysia

Daves¹,

Yimer²,

Arshad³

et al. 2016

Vet Med Open J

View full text Add to dashboard Cite

show abstract

“…A number of studies based on traditional risk factors identification approaches (logistic regression mainly) have been performed on BVDV [4-8], and the knowledge about major risk factors are related to the following: biosecurity [6], reproduction management [2,6,9,10], herd size [5,8], animal introduction [2,4,5,11], direct contact with other animals (from the same species or not) [4,11-13], communal grazing [4,5], age of animals [5,14], artificial insemination (AI) [15], and natural mating [13]. Nonetheless, usual epidemiologic analytic frameworks like logistic regression are often limited for the analysis of high-dimensional, imbalanced and nonlinear data, and may be poorly adapted to epidemiological datasets with a large number of predictor variables (parameters) in relation to the number of observations given the high susceptibility to overfitting [16,17].…”

Section: Introductionmentioning

confidence: 99%

What variables are important in predicting bovine viral diarrhea virus? A random forest approach

Machado

Recamonde‐Mendoza

Corbellini

2015

Vet Res

View full text Add to dashboard Cite

Bovine viral diarrhea virus (BVDV) causes one of the most economically important diseases in cattle, and the virus is found worldwide. A better understanding of the disease associated factors is a crucial step towards the definition of strategies for control and eradication. In this study we trained a random forest (RF) prediction model and performed variable importance analysis to identify factors associated with BVDV occurrence. In addition, we assessed the influence of features selection on RF performance and evaluated its predictive power relative to other popular classifiers and to logistic regression. We found that RF classification model resulted in an average error rate of 32.03% for the negative class (negative for BVDV) and 36.78% for the positive class (positive for BVDV).The RF model presented area under the ROC curve equal to 0.702. Variable importance analysis revealed that important predictors of BVDV occurrence were: a) who inseminates the animals, b) number of neighboring farms that have cattle and c) rectal palpation performed routinely. Our results suggest that the use of machine learning algorithms, especially RF, is a promising methodology for the analysis of cross-sectional studies, presenting a satisfactory predictive power and the ability to identify predictors that represent potential risk factors for BVDV investigation. We examined classical predictors and found some new and hard to control practices that may lead to the spread of this disease within and among farms, mainly regarding poor or neglected reproduction management, which should be considered for disease control and eradication.Electronic supplementary materialThe online version of this article (doi:10.1186/s13567-015-0219-7) contains supplementary material, which is available to authorized users.

show abstract

“…A inseminação artificial já foi identificada em outros estudos como fator de risco associados a outras infecções (Almeida et al 2013, Chiebao et al 2015. Estudos indicam a presença e virulência do agente em amostras de sêmen, sendo necessária a certificação negativa para sua comercialização (Vanbinst et al 2010).…”

Section: Discussionunclassified

Ocorrência e fatores de risco da infecção pelo vírus da língua azul em bovinos no Estado de Pernambuco

et al. 2018

View full text Add to dashboard Cite

RESUMO: Objetivou-se com este estudo determinar os aspectos epidemiológicos da infecção pelo Vírus da Língua Azul (VLA) em bovinos leiteiros na microrregião de Garanhuns, Estado de Pernambuco, Brasil. Foram coletadas 384 amostras de soro de bovinos fêmeas em idade reprodutiva, procedentes de 20 propriedades dos 19 municípios que compõem a região. As amostras foram testadas com a prova de imunodifusão em gel de agarose (IDGA) para pesquisa de anticorpos anti-VLA. Observou-se ocorrência de 71,3% (274/384; IC 95% - 66,5% - 75,7%) de animais positivos. Em 100% das propriedades houve ao menos um animal soropositivo. Os fatores de risco identificados foram: presença de áreas alagadas (OR=11,8; p=0,001), não realizar controle de insetos (OR=2,1; p=0,033), rebanho aberto (OR=2,1; p=0,001) e utilização de inseminação artificial (OR=8,8; p=0,003). Este é o primeiro registro de detecção de anticorpos anti-VLA em bovinos no Estado de Pernambuco. Conclui-se que a infecção pelo VLA ocorre em bovinos na área estudada e sugere-se que medidas de controle baseadas no manejo higiênico-sanitário e biosseguridade sejam implantadas para evitar a propagação do vírus, tais como: eliminação de áreas alagadiças; controle de insetos; utilizar sêmen na inseminação artificial com atestado sanitário; realizar exames sorológicos ao adquirir animais.

show abstract

Herd-level risk factors for bovine viral diarrhea virus infection in dairy herds from Southern Brazil

Cited by 42 publications

References 39 publications

Seroprevalence of Bovine Viral Diarrhea Virus Infection and Associated Risk Factors in Cattle in Selangor, Malaysia

Seroprevalence of Bovine Viral Diarrhea Virus Infection and Associated Risk Factors in Cattle in Selangor, Malaysia

What variables are important in predicting bovine viral diarrhea virus? A random forest approach

Ocorrência e fatores de risco da infecção pelo vírus da língua azul em bovinos no Estado de Pernambuco

Contact Info

Product

Resources

About