Determination of value of bovine respiratory disease control using a remote early disease identification system compared with conventional methods of metaphylaxis and visual observations1

White, Bradley J.; Amrine, David E.; Goehl, Dan

doi:10.2527/jas.2015-9079

Cited by 18 publications

(16 citation statements)

References 21 publications

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“…It might be useful for identification of animals during the early stages of the disease process (i.e. before cytokines are released in response to illness) (White et al ., 2015).…”

Section: Mitigation Strategiesmentioning

confidence: 99%

“…Though there is evidence for decreased immune function and increased inflammation, little intervention is performed in cattle prior to transportation (Duff and Galyean, 2007). Most, if not all, of conventional on-arrival metaphylaxis or vaccination, or both, occurs within the first weeks after arrival (Richeson et al ., 2006; White et al ., 2015).…”

Section: Introductionmentioning

confidence: 99%

“…Some early detection behavior methods have been proposed to remotely detect cattle that are displaying abnormalities in social behavior, activity, and location in the pen (e.g. feed bunk or water trough) that indicate the presence of respiratory disease, without the need for human interaction (White et al ., 2015). Previous research studies have also examined the use of trends in physiologic and metabolic parameters after the cattle arrive at their destination.…”

Section: Introductionmentioning

confidence: 99%

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Effects of transportation on cattle health and production: a review

Engen¹,

Coetzee

2018

Anim. Health. Res. Rev.

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The goal of this review is to present a concise and critical assessment of the literature related to physiologic responses in cattle that are subjected to transportation. Over two-thirds of US cattle are transported. Understanding trends in circulating physiologic parameters is an important part of mitigating the negative effects of transportation. For the producer, linking these effects after transportation to morbidity outcomes within the first 45 days on feed (i.e. especially development of bovine respiratory disease) is critical. Physiologic parameters in circulation are of primary importance and may have value for prediction of bovine respiratory disease on arrival and for the understanding of disease pathogenesis. The results of our literature survey indicated that post-transportation immune function, increased acute phase proteins, glucocorticoids, and inflammation are a pivotal starting point for understanding disease. These potential biomarkers may have utility in identifying disease for targeted therapeutics so that traditional protocols that rely heavily on metaphylaxis can be avoided. Additional research is needed to develop strategies for physiological marker identification, treatment methods, or predictive behaviors to prevent respiratory disease before and after transport. This review examines the significant deleterious effects of transportation handling and stress, and current immune system translation and non-antimicrobial mitigation strategies.

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“…It might be useful for identification of animals during the early stages of the disease process (i.e. before cytokines are released in response to illness) (White et al ., 2015).…”

Section: Mitigation Strategiesmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Effects of transportation on cattle health and production: a review

Engen¹,

Coetzee

2018

Anim. Health. Res. Rev.

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“…Interestingly, in a recent review of veterinary clinical trials we noted that several authors of clinical trials in livestock production chose to report only the adjusted group-level estimates of disease risk and corresponding 95% confidence intervals [6,7], not a relative effect size (odds ratio or risk ratio). To illustrate, Schunicht et al (2002) in a clinical trial of antibiotics to control undifferentiated fever in feedlot cattle reported using the following approach to analysis "The animal health variables were compared between the experimental groups by using linear logistic regression modeling techniques controlling for within-pen clustering of disease by using the method previously described (24) and reviewed (25,26)" [6].…”

Section: A1111111111 A1111111111 A1111111111 A1111111111 A1111111111mentioning

confidence: 99%

A method of back-calculating the log odds ratio and standard error of the log odds ratio from the reported group-level risk of disease

Hu¹,

Wang²,

O’Connor³

2020

PLoS ONE

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In clinical trials and observational studies, the effect of an intervention or exposure can be reported as an absolute or relative comparative measure such as risk difference, odds ratio or risk ratio, or at the group level with the estimated risk of disease in each group. For metaanalysis of results with covariate adjustment, the log of the odds ratio (log odds ratio), with its standard error, is a commonly used measure of effect. However, extracting the adjusted log odds ratio from the reported estimates of disease risk in each group is not straightforward. Here, we propose a method to transform the adjusted probability of the event in each group to the log of the odds ratio and obtain the appropriate (approximate) standard error, which can then be used in a meta-analysis. We also use example data to compare our method with two other methods and show that our method is superior in calculating the standard error of the log odds ratio.

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“…BRD is the most common health disorder associated with beef cattle production. Remote early disease identification systems that incorporate data collected via real-time location have been shown to be an effective method to identify BRD with greater sensitivity and specificity compared to visual observations ( White et al, 2015 , 2016 ).…”

Section: Spatial Behavior Monitoringmentioning

confidence: 99%

Using advanced technologies to quantify beef cattle behavior1

Richeson

Lawrence

White

2018

Translational Animal Science

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For decades, we have relied upon visual observation of animal behavior to define clinical disease, assist in breeding selection, and predict growth performance. Limitations of visual monitoring of cattle behavior include training of personnel, subjectivity, and brevity. In addition, extensive time and labor is required to visually monitor behavior in large numbers of animals, and the prey instinct of cattle to disguise abnormal behaviors in the presence of a human evaluator is problematic. More recently, cattle behavior has been quantified objectively and continuously using advanced technologies to assess animal welfare, indicate lameness or disease, and detect estrus in both production and research settings. The current review will summarize three methodologies for quantification of cattle behavior with focus on U.S. beef production systems; 1) three-axis accelerometers that quantify physical behavior, 2) systems that document feeding and watering behavior via radio frequency, and 3) triangulation or global positioning systems to determine location and movement of cattle within a pen or pasture. Furthermore, advances in Wi-Fi and radio frequency technology have allowed many of these systems to operate remotely and in real-time and efforts are underway to develop commercial applications that may allow early detection of respiratory or other cattle diseases in the production environment. Current challenges with commercial application of technology for early disease detection include establishment of an appropriate algorithm to ensure maximum sensitivity and specificity, reliable and repeatable data collection in harsh environments, cost:benefit, and integration with traditional methodology for clinical diagnosis. Advanced technologies have also allowed cattle researchers to determine temporal variance in behavior or variability between experimental treatments. However, these data sets are typically very large and challenges exist regarding statistical analysis and reporting.

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Determination of value of bovine respiratory disease control using a remote early disease identification system compared with conventional methods of metaphylaxis and visual observations1

Cited by 18 publications

References 21 publications

Effects of transportation on cattle health and production: a review

Effects of transportation on cattle health and production: a review

A method of back-calculating the log odds ratio and standard error of the log odds ratio from the reported group-level risk of disease

Using advanced technologies to quantify beef cattle behavior1

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