Miss Camilla Strang
BVetMed MSc DIC MRCVS
PhD Student
Department: Pathobiology and Population Sciences
Campus: Hawkshead
Research Centres: Veterinary Epidemiology, Economics and Public Health
Camilla is a PhD student working on the project "Antibiotic usage on dairy farms in GB: improving data capture and exploring drivers".
Camilla graduated from the Royal Veterinary College (RVC) as a veterinary surgeon in 2009. She completed an internship at Sussex Equine Hospital in 2011 and continue to work in equine practice until 2014. In 2015, Camilla obtained a Masters in Epidemiology from Imperial College, London, after which she joined the Epidemiology team at the Animal Health Trust, Newmarket. Here, her focus was on the surveillance, management and control of equine disease outbreaks, advising both vets and industry. In October 2017, she joined the Veterinary Epidemiology, Economics and Public Health research group at RVC as a PhD student.
2019
- Moore, SE., Strang, CL., Marr, CM., Newton, R., Cameron, IJ. (2019) Management of an outbreak of multiple equine herpesvirus type 1 abortions among vaccinated mares on a large UK Thoroughbred stud farm. Veterinary Record Case Reports 7: e000799. doi: 10.1136/vetreccr-2018-000799
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Routh, J., Strang, C., Gilligan S., Dyson, S. (2019) An investigation of the association between hindlimb conformation and suspensory desmopathy in sports horses. Equine Vet Educ. doi:10.1111/eve.13089
2018
- Campbell F, Strang C, Ferguson N, Cori A, Jombart T (2018) When are pathogen genome sequences informative of transmission events? PLoS Pathog 14(2): e1006885. https://doi.org/10.1371/journal.ppat.1006885
- STEM Ambassador
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Antibiotic usage on dairy farms in GB: improving data capture and exploring drivers
People: Camilla Strang, Pablo Alarcon-Lopez, Jackie Cardwell, Lucy Brunton
This project seeks to facilitate the development of optimal antibiotic usage data capture mechanisms on dairy farms by understanding the drivers behind efficient data capture and their association with antibiotic usage and health and welfare. The findings from this project will be used to provide recommendations to help support the ongoing work in the development of data recording tools for the dairy industry.