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1.
Res Vet Sci ; 135: 450-455, 2021 Mar.
Article in English | MEDLINE | ID: covidwho-909188

ABSTRACT

BRD is associated with infectious agents, but management and transport-stress are trigger factors. Metaphylactic administration of antimicrobial reduces colonization of respiratory tract by pathogens, but the development of antibiotic-resistance raises public health concerns leading to propose new control strategies. The study analyzed nasopharyngeal swabs of 231 imported cattle, 10% of 49 trucks, transported from France to southern Italy and, through Real-time PCR identified the prevalence of the involved pathogens speculating on strategies to reduce the impact of BRD. The samples were tested by Real-time PCR, for the detection of bovine coronavirus (BCoV), bovine respiratory syncytial virus (BRSV), bovine parainfluenza virus (BPiV), bovine adenovirus (BAdV), Mannheimia haemolytica, Pasteurella multocida, Histophilus somni, and Mycoplasma bovis. Yates-corrected chi squared, or Fisher's exact test were used to compare both animal-health status and positivity/negativity to pathogens, and the relationship between presence/absence of clinical signs and Real-time PCR-positivity. H. somni and BCoV were the most frequently identified pathogens. In BRD-diagnosed cattle, BAdV was detected in 13.8% (19/138), BRSV in 14.5% (20/138) and BPiV in 4.3% (6/138). Healthy cattle were mostly positive for H. somni (89.2%, 83/93). A statistically significant association was observed between clinical signs and positivity to M. haemolytica (p value = 0.016). Although mass-medication and vaccination are used for BRD control, it still remains a primary health problem. Our results highlight that the nasopharyngeal microbiota could be affected by transport and that strategies to enhance calf immunity for reducing BRD-risk development would be more effective if applied at farm of origin prior to loading.


Subject(s)
Cattle Diseases/epidemiology , Coronavirus, Bovine/isolation & purification , Microbiota , Pasteurellaceae/isolation & purification , Respiratory Tract Diseases/veterinary , Animals , Cattle , Cattle Diseases/microbiology , Cattle Diseases/prevention & control , Coronavirus, Bovine/genetics , Epidemiologic Studies , France/epidemiology , Immunity , Italy/epidemiology , Male , Mastadenovirus/genetics , Mastadenovirus/isolation & purification , Nasopharynx/microbiology , Pasteurellaceae/genetics , Respiratory Syncytial Virus, Bovine/genetics , Respiratory Syncytial Virus, Bovine/isolation & purification , Respiratory System/microbiology , Respiratory Tract Diseases/epidemiology , Respiratory Tract Diseases/microbiology , Respiratory Tract Diseases/prevention & control , Respirovirus/genetics , Respirovirus/isolation & purification , Transportation
2.
J Dairy Sci ; 103(3): 2556-2566, 2020 Mar.
Article in English | MEDLINE | ID: covidwho-829668

ABSTRACT

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 (2016-2018). 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.


Subject(s)
Cattle Diseases/epidemiology , Coronavirus, Bovine/isolation & purification , Disease Outbreaks/veterinary , Respiratory Tract Infections/veterinary , Animals , Belgium/epidemiology , Bronchoalveolar Lavage/veterinary , Cattle , Cattle Diseases/microbiology , Cross-Sectional Studies , Feces/microbiology , Female , Male , Mannheimia haemolytica/isolation & purification , Mycoplasma bovis/isolation & purification , Parainfluenza Virus 3, Bovine/isolation & purification , Pasteurella multocida/isolation & purification , Pasteurellaceae/isolation & purification , Respiratory Syncytial Virus, Bovine/isolation & purification , Respiratory Tract Infections/epidemiology , Respiratory Tract Infections/microbiology , Risk Factors , Species Specificity , Surveys and Questionnaires
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