All Outputs (6)

Improving growth rates in preweaning calves on dairy farms: A randomized controlled trial (2021)
Journal Article
Hyde, R. M., Green, M. J., Hudson, C., & Down, P. M. (2022). Improving growth rates in preweaning calves on dairy farms: A randomized controlled trial. Journal of Dairy Science, 105(1), 782-792. https://doi.org/10.3168/jds.2021-20947

Previous research has identified key factors associated with improved average daily gain (ADG) in preweaning dairy calves and these factors have been combined to create a web app–based calf health plan (www.nottingham.ac.uk/herdhealthtoolkit). A rand... Read More about Improving growth rates in preweaning calves on dairy farms: A randomized controlled trial.

Mass spectrometry and machine learning for the accurate diagnosis of benzylpenicillin and multidrug resistance of Staphylococcus aureus in bovine mastitis (2021)
Journal Article
Esener, N., Guerra, A. M., Giebel, K., Lea, D., Green, M. J., Bradley, A. J., & Dottorini, T. (2021). Mass spectrometry and machine learning for the accurate diagnosis of benzylpenicillin and multidrug resistance of Staphylococcus aureus in bovine mastitis. PLoS Computational Biology, 17(6), Article e1009108. https://doi.org/10.1371/journal.pcbi.1009108

Staphylococcus aureus is a serious human and animal pathogen threat exhibiting extraordinary capacity for acquiring new antibiotic resistance traits in the pathogen population worldwide. The development of fast, affordable and effective diagnostic... Read More about Mass spectrometry and machine learning for the accurate diagnosis of benzylpenicillin and multidrug resistance of Staphylococcus aureus in bovine mastitis.

Practical data skills for the farm animal vet (2021)
Journal Article
Hyde, R., Green, M., Hudson, C., & Remnant, J. (2021). Practical data skills for the farm animal vet. In Practice, 43(5), 257-268. https://doi.org/10.1002/inpr.53

Background: While farm animal veterinarians receive extensive training in the diagnosis and treatment of individual animals, population medicine or ‘herd health’ has also become commonplace in modern production animal veterinary medicine. Clinicians... Read More about Practical data skills for the farm animal vet.

Multiple model triangulation to identify factors associated with lameness in British sheep flocks (2021)
Journal Article
Lewis, K., Green, M., Witt, J., & Green, L. (2021). Multiple model triangulation to identify factors associated with lameness in British sheep flocks. Preventive Veterinary Medicine, 193, Article 105395. https://doi.org/10.1016/j.prevetmed.2021.105395

Identification of factors associated with an outcome can be challenging when the number of explanatory variables is large in relation to the number of observations. Multiple model triangulation, where results from several model types are combined, im... Read More about Multiple model triangulation to identify factors associated with lameness in British sheep flocks.

Randomized controlled field trial comparing quarter and cow level selective dry cow treatment using the California Mastitis Test (2021)
Journal Article
Swinkels, J., Leach, K., Breen, J., Payne, B., White, V., Green, M., & Bradley, A. (2021). Randomized controlled field trial comparing quarter and cow level selective dry cow treatment using the California Mastitis Test. Journal of Dairy Science, Article 19258. https://doi.org/10.3168/jds.2020-19258

Selective use of antibiotic dry cow treatment can be implemented at the cow or quarter level, with the latter having the potential to further reduce antibiotic use. Our objective was to compare these 2 approaches in 6 herds in the United Kingdom in w... Read More about Randomized controlled field trial comparing quarter and cow level selective dry cow treatment using the California Mastitis Test.

Estimation of the serial interval and proportion of pre-symptomatic transmission events of COVID??19 in Ireland using contact tracing data (2021)
Journal Article
McAloon, C. G., Wall, P., Griffin, J., Casey, M., Barber, A., Codd, M., …More, S. J. (2021). Estimation of the serial interval and proportion of pre-symptomatic transmission events of COVID− 19 in Ireland using contact tracing data. BMC Public Health, 21, Article 805. https://doi.org/10.1186/s12889-021-10868-9

Background The serial interval is the period of time between the onset of symptoms in an infector and an infectee and is an important parameter which can impact on the estimation of the reproduction number. Whilst several parameters influencing in... Read More about Estimation of the serial interval and proportion of pre-symptomatic transmission events of COVID??19 in Ireland using contact tracing data.