An introduction to model-based geostatistics for Public Health


Sunday, July 14, 9:00- 17:00

delivered by
Dr Emanuele Giorgi (Lancaster University, UK)

The short course will provide an overview of the geostatistical methods for public health problems in low resource settings.
A detailed programme of the day is available here .

The short course will consist of the following components:

Brief introduction to model-based geostatistics in global public health: type of data; application examples

Model-based geostatistics for prevalence mapping
- Exploratory analysis of prevalence data and model-formulation
- Model-fitting and interpretation

Spatial prediction
- Types of spatial data in public health
- Data collection methods and challenges
- Preprocessing techniques for spatial data

Practical
- Guided analysis of a geostatistical data-set.
- Building Spatial Models

Further topics in model-based geostatistics

Brief overview of additional topics to expand learning of geostatitsical methods: spatio-temporal models; applications to survey design.

Delegates can register for the Short course on our registration pages. It is possible to register for the Short Course alongside the full Workshop registration or for the Short Course only (without the Workshop registration). The Early Bird fee for the Short Course will be £100, discounted to £80 for PhD students.

APTS students

PhD students also attending the APTS week in Durham from 08-12/07/2024, with topics: Computer Intensive Statistics (Richard Everitt); High-dimensional Statistics (Po-Ling Loh), are most welcome to stay in Durham until Sunday to also attend the IWSM short course. There will be a further discount on the short course registration fee for APTS students, and up to three Durham summer grants for APTS students covering the weekend accommodation and the short course registration fee.