
Geographic Information Systems (GIS) for Public Health and Epidemiology
Amsterdam, Netherlands
DURATION
2 Weeks
LANGUAGES
English
PACE
Full time
APPLICATION DEADLINE
24 Jan 2025
EARLIEST START DATE
24 Mar 2025
TUITION FEES
EUR 1,980 / per course *
STUDY FORMAT
On-Campus
* for regular | early bird fee € 1.584 and € 1.584 | tropEd fee € 1.782
Introduction
This course aims to provide health professionals with a solid understanding and hands-on practice allowing them to use GIS in their daily work. The increasing use of open-source software solutions in professional settings provides a free, yet perfectly viable alternative to commercial software. This course uses Free and Open Source Software solutions to allow course participants to bring their skills into practice without depending on commercial packages.
In both weeks guest speakers are invited to present applications of the use of GIS in disease control programmes and research projects.
Accommodation
There is a severe shortage of student accommodation in Amsterdam and participants are advised to contact KIT for information. KIT will endeavour to assist participants in their search for housing.
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Admissions
Curriculum
First week
The first week will focus on learning basic GIS theory and functions. Emphasis will be given to developing basic software operating skills and understanding of analytical approaches to analyze spatial data.
Topics include
- Basic GIS theory and principles including spatial data formats
- Introduction to QGIS 3. x software package
- Spatial data management
- Using online data repositories and data extraction from cloud databases (e.g. DHIS2)
- Data visualization and cartographic concepts
- Using geographic coordinate reference systems
- Introduction to essential geoprocessing functions
Second week
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.
Topics include
- Spatial analysis of geographic patterns of disease: point pattern analysis and geographic cluster analysis
- Geographic access Analysis: quantifying health service coverage
- Spatial Multi-Criteria Risk Analysis using the MATCH approach
- Digital (spatial) data-collection using ODK software system
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)
Program Tuition Fee
Student Testimonials
Program Admission Requirements
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