Epidemiology and data analysis
Epidemiology aims to uncover relationships, deepen understanding, and guide interventions on population-level issues. Our team has extensive experience in conducting studies that apply epidemiological, data analysis, and modelling methods. We use these techniques to provide insights and propose solutions for specific issues in aquaculture.
The salmon industry generates a wealth of data through production management systems. While this data offers valuable insights for improving production, it also carries risks of misidentifying risk factors and associations. Careful study design and appropriate statistical methods are essential for managing data dependencies and confounding variables. Our analyses reveal sources of variation and identify key risk factors, enhancing your understanding and addressing critical production issues.
Earlier work:
Aunsmo, S. Øvretveit, O. Breck, P.S. Valle, R.B. Larssen, M. Sandberg, 2009. Modelling sources of variation and risk factors for spinal deformity in farmed Atlantic salmon using hierarchical and cross-classified multilevel models. Preventive Veterinary Medicine 90: 137-145.
