This short course is taught by members of the Centre for the Mathematical Modelling of Infectious Diseases, a multidisciplinary grouping of more than 150 epidemiologists, mathematicians, economists, statisticians and clinicians.
Mathematical models are increasingly used to understand the transmission of infectious diseases in populations and to evaluate the potential impact of control programmes in reducing morbidity and mortality. With this short course we aim to bridge the gap between theoretical training in infectious disease modelling, and the specialist technical skills needed for research in this area.
Participants will gain a working knowledge of using R to code dynamic transmission models and how to code stochastic and deterministic epidemic models from scratch.
Course Content
- Discrete-time deterministic models
- Ordinary differential equation models, including using deSolve for integration
- Metapopulation models
- Simulation, sensitivity and sampling parameter sets, including Latin Hypercube sampling
- Network models: reading adjacency matrices and simulation of Reed-Frost models
- Stochastic models in discrete time
- Stochastic models in continuous time
For more information, please view the LSHTM course page.
