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Overview
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. They will learn key principles for best practice in model coding including version control. They will learn how to code stochastic and deterministic epidemic models from scratch. They will also learn how to present model output by implementing sensitivity analysis and graphing data, and best practices for writing coherent code and using version control.
Teaching methods
The Modern Techniques for Modelling Infectious Disease Dynamics course offered by London School of Hygiene and Tropical Medicine is taught as a series of hands-on computer practicals in R. A 2-hour Introductory session is available for those with no prior experience with R. We will provide some exercises before the course to help participants decide if they need to attend the introductory session.
Programme Structure
- Introduction to R (optional morning session)
- Using loops, functions, packages and sourcing in R
- Best practices in coding
- 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
- Processing outputs using ggplot: making graphs and stratifying outputs
- Network models: reading adjacency matrices and simulation of Reed-Frost models
- Stochastic models in discrete time
- Stochastic models in continuous time
- Version control: a hands-on introduction to Git and Github
Key information
Duration
- Full-time
- 4 days
- Part-time
- 4 days
Start dates & application deadlines
- StartingApplication deadline not specified.
Language
English
Delivered
On Campus, Online
Disciplines
Medicine Health Sciences View 606 other Short Courses in Health Sciences in United KingdomAcademic requirements
We are not aware of any specific GRE, GMAT or GPA grading score requirements for this programme.
English requirements
We are not aware of any English requirements for this programme.
Student insurance
Make sure to cover your health, travel, and stay while studying abroad. Even global coverages can miss important items, so make sure your student insurance ticks all the following:
- Additional medical costs (i.e. dental)
- Repatriation, if something happens to you or your family
- Liability
- Home contents and baggage
- Accidents
- Legal aid
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Other requirements
General requirements
This course is aimed at people who have had some exposure to the theory and use of infectious disease modelling and who would like to start coding their own models using R. Individuals who know some R but do not have experience using R to code infectious disease models will benefit. The course is ideal for those who will be conducting research using infectious disease models in R or who want a deeper understanding of techniques for implementing models.
Tuition Fee
To always see correct tuition fees
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International
660 GBP/fullTuition FeeBased on the tuition of 660 GBP for the full programme during 4 days. -
National
660 GBP/fullTuition FeeBased on the tuition of 660 GBP for the full programme during 4 days.
Living costs for London
1137 - 2157 GBP /month
Living costs
The living costs include the total expenses per month, covering accommodation, public transportation, utilities (electricity, internet), books and groceries.
Funding
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