Code on a computer

The development of analytical methodology, and in particular, of statistical and dynamical models is a primary component to most of the re-search carried out within the MRC Centre for Global Disease Analysis. Much departmental research in this theme focuses on the development and application of these models to support policy decision making, assist measurement and evaluation, and enhance disease preparedness and response. However, research also encompasses the development of novel analytical and computational tools at the forefront of applied mathematics and statistics together with the integration of new data streams and pipelines.

Specific areas of interest include:

  • Phylodynamic and transmission tree inference using genetic and epidemiological data
  • Genomic and evolutionary analysis
  • Machine learning and ‘big data’
  • Geospatial analysis
  • Methods for intervention evaluation and counterfactual analysis
  • Health economics and financial modelling
  • Software development

2 column block w/ bullets

Disease areas

Learn more about our work in methods and tools in our focus disease areas: