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Upon completion of this subject, students will be able to apply an understanding of host, pathogen and environmental factors, and the way in which livestock are managed to diagnose and manage disease and suboptimal productivity at the herd and flock level. The multifactorial nature of disease is reviewed, and techniques for measurement and prediction of disease prevalence and population health introduced. An understanding and application of study design and critical appraisal of evidence will enable students to link theory to practice in the management of population health problems.
Intended learning outcomes
On completion of this subject, students should be able to:
- Apply epidemiological principles to calculate and describe the frequency of disease in animal and/or human populations, and to identify characteristics that place some individuals in a population at greater risk of disease, compared with others
- Explain the major features of the common study designs used in observational epidemiological research and describe the strengths and weaknesses of each
- Use epidemiological tools to evaluate screening and diagnostic tests used in animal health management
- Describe the major classes of disease surveillance programs and explain the strengths and weaknesses of each in order to select and use an appropriate tool in the management of animal and public health
- Describe the different phases of an outbreak investigation and the role and importance of a veterinarian during this process in order to optimise health and minimise productivity losses, comply with legal regulations and accommodate economic realities
- Use scientific databases, select appropriate literature and evaluate research evidence to answer a clinical question and communicate it to a scientific audience in oral and written form
- Apply epidemiological and biostatistical principles to critically appraise the biomedical literature, make arguments relevant to findings to a scientific audience, and make clinical decisions based on the best available evidence
- Interpret data acquired from animal production industry case scenarios, and apply understanding of the determinants of productivity, profitability and sustainability in order to analyse and interpret problems related to these systems
- Have a broad knowledge of science across a range of fields, with an in-depth understanding in one scientific discipline
- Understand the scientific method, and the history and evolution of scientific concepts
- Be intellectually curious and apply a rigorous, critical and logical approach to enquiry
- Be able to communicate ideas effectively in both written and verbal formats to both specialists and non-specialists
- Reach a high level of achievement in writing, generic research activities, problem-solving and communication
- Be efficient managers of information
- Apply technology to the analysis of biological problems
Last updated: 29 July 2022