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Modelling Infectious Disease Risk in a Changing Climate

Overview

This short course has been cancelled. Candidates should still be able to register their interest for 2021.

Coronavirus notice and FAQ - short course
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Coronavirus information

LSHTM is following the latest advice for the UK from Public Health England (PHE) on the coronavirus outbreak. Health and Safety of our students and staff is our top priority and, with that in mind, a decision not to deliver any face-to-face teaching until at least September 2020 has been taken.

Wherever possible, an alternative online provision is being developed and we will publish further information on our website as soon as it is available. Unfortunately, not all of our Short Courses can be delivered at a distance and will sadly be either cancelled or postponed. If this affects you directly, we will be in touch with options opened to you. 

Courses scheduled to run from September onwards are currently planned to be delivered as normal. However, the situation is developing rapidly, and you are therefore encouraged to regularly check the latest updates on the situation through reliable sources such as Public Health England. We would also strongly advise offer holders to book refundable tickets and accommodation as there is a chance that this may change. 

Overview - modelling infectious disease risk in changing climate
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Course date: 25 - 28 August 2020

Multiple infectious diseases with high socioeconomic impacts have significant environmental drivers.  Although there is a wealth of earth observation data freely available on the internet, this data is often stored in formats not typically used in epidemiology. Consequently, earth observations are rarely incorporated into disease prediction models to inform planning and mitigation actions.

This 4-day intensive training course aims to introduce several tools to access, collate, visualise and analyse environmental, climatic, health and other ancillary datasets. Participants will learn how such data can be incorporated into early warning prediction models to mitigate the impact of infectious disease epidemics.

The course will be delivered by experts at the School working at the interface of climate prediction science and disease risk forecasting, based between the Centre for Mathematical Modelling of Infectious Diseases and the Centre on Climate Change and Planetary Health. Guest lecturers include Dr Diarmid Campbell-Lendrum (WHO), Dr Madeleine Thomson (Wellcome Trust), Prof Sir Andy Haines (LSHTM) and Prof Antonio Gasparrini (LSHTM).

Lectures and practical sessions will cover fundamentals of environmental and infectious disease interactions; climate services for health; the use of observational, model and forecast climate data at seasonal to decadal time scales; exploratory data analysis; time and space statistical modelling and Bayesian inference.

Objectives

The objective of this course is to provide participants with the technical skills to access, collate, and analyse climatic and environmental data, and combine these with disease surveillance data using space-time statistical modelling techniques in R and R-INLA.

Participants will gain a working knowledge of accessing and processing large climate databases and using R to formulate and evaluate statistical disease risk models. By the end of the course, participants will be able to:

  • access and visualise weather and climate observations, seasonal forecasts and decadal projections.
  • formulate statistical regression models using spatio-temporal disease datasets in R.
  • understand the principles of Bayesian statistical modelling.
  • assess the added value of accounting for climate variation in disease risk models.

Who should apply?

PhD students, early career researchers, data managers, public health and environment agency practitioners working on the impacts of climate on public health. Participants are encouraged to bring specific scientific questions and data to be analysed for participant presentations and 1-2-1 tutorials.

How to apply
How to apply - Modelling Infectious Disease Risk in a Changing Climate
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Applying for this course

This short course has been cancelled. Candidates should still be able to register their interest for 2021.

Please read LSHTM's Admissions policies prior to submitting your application.

Short courses - visas, accommodation, disclaimer
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Visas

The student is responsible for obtaining any visa or other permissions to attend the course, and is encouraged to start the application process as early as possible as obtaining a visa for the UK can sometimes take a long time. The Short Courses team can provide supporting documentation if requested.

Accommodation and meals

A list of hotels located in the vicinity of LSHTM, along with further resources for short term accommodation, can be found on our accommodation pages. Tea and coffee will be provided during breaks. Lunch vouchers for the LSHTM canteen will also be available.

Evening meals are not catered for at LSHTM, however there is a large choice of restaurants, cafés and shops nearby.

Important information

Please note:

  • If you have been offered a place on the course you will not be able to register without bringing formal ID (Passport) and without having obtained the correct visa if required.
  • It is essential that you read the current visa requirements for short course students.
  • LSHTM may cancel courses two weeks before the first day of the course if numbers prove insufficient.  In those circumstances, course fees will be refunded.
  • LSHTM cannot accept responsibility for accommodation, travel and other losses incurred as a result of the course being cancelled.