Overview
What you will study
A typical day of the Introduction to Infectious Disease Modelling and its Applications course offered by London School of Hygiene and Tropical Medicine consists of lectures, computer practicals and small group discussions. Seminars by invited external modellers, epidemiologists and decision-makers, which highlight the practical applications of modelling, are also scheduled throughout the course. For participants attending in-person, all teaching is carried out at the London School of Hygiene & Tropical Medicine. Students following the course remotely will be able to join the live lectures at the scheduled times and will also be able to listen to the pre-recorded lectures on the same topic if they choose. Times are scheduled during the day during which remote students can work on given practicals in virtual rooms with other students with tutor-support.
Programme Structure
The program focuses on:
- Key concepts in infectious disease epidemiology;
- The basic methods for setting up (deterministic and stochastic) infectious disease models;
- Practical applications of modelling, including predicting the impact of control strategies against infections, and describing the course of outbreaks;
- Analyses of serological data: methods for estimating age and time-dependent transmission rates and their application for developing models of the dynamics of infections;
- Modelling in real-time;
- How to read and interpret modelling papers;
- Models for describing STI transmission and control;
- Models of the dynamics and control of tuberculosis;
- Fitting models to data, network models, sensitivity analyses and health economics.
- Guest lectures from researchers working on mathematical modelling.
Key information
Duration
- Full-time
- 12 days
Start dates & application deadlines
- StartingApply anytime.
- Please contact the university for more information about the application deadline.
Language
Delivered
Disciplines
Epidemiology Immunology View 12 other Short Courses in Epidemiology in United KingdomWhat students do after studying
Academic 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
- The course is designed for individuals interested in expanding their knowledge of the techniques available for analysing and interpreting epidemiological data on infectious diseases and for predicting the impact of control programmes, including medical and health professionals, policy makers, veterinary scientists, medical statisticians and infectious disease researchers.
- Specialist mathematical training is not a prerequisite. However, individuals with degrees in mathematical disciplines working on some aspect of infectious disease dynamics and/ or control, who wish to learn about the potential of infectious disease modelling will also benefit.
- Some familiarity with spreadsheet packages (ideally Excel) is desirable.
- Applicants should have a good command of English.
Technological requirements
- Participants are expected to bring their own laptop (please contact the course organisers before the start of the course if this won’t be possible).
Tuition Fee
-
International
2952 GBP/fullTuition FeeBased on the tuition of 2952 GBP for the full programme during 12 days. -
National
2952 GBP/fullTuition FeeBased on the tuition of 2952 GBP for the full programme during 12 days.
- £2,952 full fee
- £1,476 for LMICs
Living costs for London
The living costs include the total expenses per month, covering accommodation, public transportation, utilities (electricity, internet), books and groceries.