The explosive availability of open source health data offers new opportunities to analyze and monitor trends in disease. It also opens new pathways to assess how effectively health systems can address these trends. Epidemiologists, health professionals and policy makers increasingly utilize new analytical techniques and software to process and analyze the growing volumes of high resolution health data.
This course trains health professionals with the essential skills to map and analyze routinely collected health data. In this training you will learn what data and methods are used to detect areas of high disease risk and to compare these with geographic patterns of health service delivery.
The first week will focus on learning basic GIS theory and functions. Emphasis will be given to develop basic software operating skills and understanding of analytical approaches to analyze spatial data.
The second week of the course will provide the opportunity to apply and extend the GIS skills that have been learned in the first week into a public health context. The course will address specific problems in the field of planning and evaluating disease control programmes and space-time analyses of health data.
The course will use the following open source and freely available software packages:
- QGIS 3.x open source GIS package.
- GeoDA (optional)
- DHIS2 (vs 4.x)
- R statistical programming (optional)
How to register:
For more information visit:
https://www.kit.nl/study/course/using-gis-for-global-health/
Summary practical information:
Course dates: 20-06-2022 to 01-07-2022
Duration: 2 weeks
KIT Application deadline other funding: 20-04-2022 ECTS: 3
Location: KIT Amsterdam (or e-learning if the situation does not permit in class teaching) Language: English
Fee: Early Bird fee EUR 1.680 / Normal fee EUR 2.130 (this fee covers the course fee and study material. It does not include any other costs incurred like travel costs, insurance, visa, accommodation, daily expenses and others)
Contact: courses@kit.nl