Epidemiological & statistical modelling

This workstream covers skills in epidemiological and statistical modelling to support the understanding of disease behaviour in populations to provide evidence to support decision-making in animal health and disease control. The scope of this workstream includes the design and evaluation of animal disease surveillance systems for defined surveillance objectives.

Economic modelling

This workstream is strongly aligned with the risk assessment and mathematical modelling workstreams often relying on or integrating epidemiological models and metrics to determine disease impact or the economic efficiency of interventions or surveillances strategies. Analyses may look at costs and benefits at the farm level, individual human level or at a national level. 

Risk analysis

This workstream covers qualitative and quantitative risk analysis for animal health and veterinary public health and provides evidence-based guidance to policy-makers for outbreak response. The scope of this workstream includes research and training in risk assessment methodology.

Mathematical modelling

This workstream uses output from the Data Modelling and Statistical Modelling workstreams to help create both mathematical and simulation models to explore the consequences of disease outbreaks in livestock and wildlife, with particular emphasis in using these models to inform policy decision making in the areas of exotic and endemic diseases.

Data modelling

This workstream provides expertise on all activities pertaining to data management, including building, managing and maintaining large systems for the entry, storage and analysis of complex surveillance data, and of data from national and international research projects. The usability and cleanliness of any data are essential for the development of models and risk assessments and therefore this workstream is a fundamental component of all the workstreams.

Top of page