Herd level estimation of probability of disease freedom applied on the Norwegian control program for bovine respiratory syncytial virus and bovine coronavirus

Toftaker, Ingrid; Ågren, Estelle; Stokstad, Maria; Nødtvedt, Ane; Frössling, Jenny

doi:10.1016/j.prevetmed.2018.07.002

Cited by 11 publications

(8 citation statements)

References 26 publications

(45 reference statements)

Supporting

Mentioning

Contrasting

Order By: Relevance

“…In contrast to North America, to our knowledge no licensed respiratory coronavirus vaccines are available within the European Union, leaving only biosecurity options accessible. Indeed, biosecurity is the core of the recently initiated BCV and bRSV eradication campaign in Norway (Toftaker et al, 2018). Larger herds were at increased risk for a BCV outbreak in our Pardon et al: RESPIRATORY PATHOGEN-SPECIFIC RISK FACTORS study, as was shown in a serological study in Norway before (Toftaker et al, 2016).…”

Section: Discussionsupporting

confidence: 55%

Pathogen-specific risk factors in acute outbreaks of respiratory disease in calves

Pardon

Callens

Maris

et al. 2020

Journal of Dairy Science

View full text Add to dashboard Cite

Respiratory tract infections (bovine respiratory disease) are a major concern in calf rearing. The objective of this study was to identify pathogen-specific risk factors associated with epidemic respiratory disease in calves. A cross-sectional study was conducted, involving 128 outbreaks (29 dairy, 58 dairy-mixed, and 41 beef) in Belgium (2016Belgium ( -2018. A semiquantitative PCR for 7 respiratory pathogens was done on a pooled nonendoscopic bronchoalveolar lavage sample for each herd. Potential risk factors were collected by questionnaire and derived from the national cattle registration databank. Most outbreaks occurred between October and March, and single and multiple viral infections were detected in 58.6% (75/128) and 13.3% (17/128), respectively. Bovine coronavirus (BCV) was the most frequently isolated virus (38.4%), followed by bovine respiratory syncytial virus (bRSV; 29.4%) and parainfluenzavirus type 3 (PI-3; 8.1%). Mycoplasma bovis, Mannheimia haemolytica, Pasteurella multocida, and Histophilus somni were detected in 33.3, 41.2, 89.1, and 36.4% of the herds, respectively. Specific risk factors for BCV detection were detection of M. haemolytica [odds ratio (OR) = 2.8 (95% confidence interval = 1.1-7.5)], increasing herd size [OR = 1.3 (1.0-1.8) for each increase with 100 animals] and detection of BCV by antigen ELISA on feces in calves in the last year [OR = 3.6 (1.2-11.1)]. A seasonal effect was shown for bRSV only {more in winter compared with autumn [OR = 10.3 (2.8-37.5)]}. Other factors associated with bRSV were PI-3 detection [OR = 13.4 (2.1-86.0)], prevalence of calves with respiratory disease [OR = 1.02 (1.00-1.04) per 1% increase], and number of days with respiratory signs before sampling [OR = 0.99 (0.98-0.99) per day increase]. Next to its association with BCV, M. haemolytica was more frequently detected in herds with 5 to 10 animals per pen [OR = 8.0 (1.4-46.9)] compared with <5 animals, and in herds with sawdust as bedding [OR = 18.3 (1.8-191.6)]. Also, for H. somni, housing on sawdust was a risk factor [OR = 5.2 (1.2-23.0)]. Purchase of cattle [OR = 2.9 (1.0-8.0)] and housing of recently purchased animals in the same airspace [OR = 5.0 (1.5-16.5)] were risk factors for M. bovis.This study identified pathogen-specific risk factors that might be useful for the development of customized control and prevention and for the design of decision support tools to justify antimicrobial use by predicting the most likely pathogen before sampling results are available.

show abstract

Section: Discussionsupporting

confidence: 55%

Pathogen-specific risk factors in acute outbreaks of respiratory disease in calves

Pardon

Callens

Maris

et al. 2020

Journal of Dairy Science

View full text Add to dashboard Cite

show abstract

“…The probability of virus introduction after classification is considerable, particularly in herds that purchase animals. An updated herd-classification based on the combination of bulk milk tank testing, herd size, information on animal movements and geographical location has been shown to provide a more accurate estimate of herd status (95) and could potentially improve progress of the program.…”

Section: Discussionmentioning

confidence: 99%

Using Biosecurity Measures to Combat Respiratory Disease in Cattle: The Norwegian Control Program for Bovine Respiratory Syncytial Virus and Bovine Coronavirus

et al. 2020

Self Cite

View full text Add to dashboard Cite

“…coli., Salmonella spp., C. parvum, torovirus, and rotavirus [22,39]. In Norway, herds where there had been no introduction of new animals were more likely to be negative to BCoV compared to herds containing newcomers [40]. and Cryptosporidium parvum [26].…”

Section: Discussionmentioning

confidence: 99%

Seroprevalence of bovine coronavirus and factors associated with the serological status in dairy cattle in the western region of Thailand

et al. 2021

View full text Add to dashboard Cite

Background and Aim: Bovine coronavirus (BCoV) is a pathogen affecting the productivities of dairy cattle worldwide. The present study aimed to determine the seroprevalence and factors associated with BCoV serological status using a commercial indirect enzyme-linked immunosorbent assay (ELISA). Materials and Methods: A cross-sectional study was conducted in the western region of Thailand. Blood samples were collected from 30 dairy herds. In total, 617 blood serum samples were tested using a commercial indirect ELISA for BCoV-specific immunoglobulin G antibodies. A questionnaire was used to collect data on the factors which have been identified as risk factors for BCoV antibody detection. The age and history of diarrhea of each animal were recorded. Fisher's exact test was performed to univariately assess the association between BCoV serological status and possible risk factors. Variables with Fisher's exact test p<0.10 were then evaluated using multivariate logistic regression to identify factors associated with BCoV serological status. The Bonferroni adjustment was used for multiple comparisons of significant variables in the final multivariate logistic regression model. Results: No herd was free from antibodies to BCoV. The individual seroprevalence of BCoV was 97.89% (604/617). The prevalence within herds was in the range of 45.45-100%. Cattle >3 years of age were more likely to be seropositive to BCoV compared to cattle <1 year of age (p=0.003), with the odds ratio being 81.96. Disinfecting diarrhea stools were a protective factor for being BCoV seropositive, with odds ratios of 0.08 and 0.06 compared to doing nothing (p=0.008) and to clean with water (p=0.002), respectively. Conclusion: BCoV seropositive dairy cattle were distributed throughout the western region of Thailand. The probability of being seropositive for BCoV increased with increasing animal age. Cleaning the contaminated stool with appropriate disinfectants should be recommended to farmers to minimize the spread of the virus.

show abstract

Herd level estimation of probability of disease freedom applied on the Norwegian control program for bovine respiratory syncytial virus and bovine coronavirus

Cited by 11 publications

References 26 publications

Pathogen-specific risk factors in acute outbreaks of respiratory disease in calves

Pathogen-specific risk factors in acute outbreaks of respiratory disease in calves

Using Biosecurity Measures to Combat Respiratory Disease in Cattle: The Norwegian Control Program for Bovine Respiratory Syncytial Virus and Bovine Coronavirus

Seroprevalence of bovine coronavirus and factors associated with the serological status in dairy cattle in the western region of Thailand

Contact Info

Product

Resources

About