Using Geographic Information Systems in disease control programs (GIS)Apply now
|Course period 2019||from 24/06/2019 until 05/07/2019|
|Course fee Early Bird||EUR 1585 (if payment is made before 31 March 2019)|
|Course fee Normal||EUR 2010|
|Location||ITC (Enschede) and KIT (Amsterdam)|
|KIT application deadline OKP applicants||22/09/2018|
|OKP application deadline||22/10/2018|
|KIT application deadline other funding||25/04/2019|
|Contact||Dr. M. Bakker (firstname.lastname@example.org) or our course administration: email@example.com|
The course ‘Using GIS in disease control programmes’ jointly organized by KIT and the International Institute for Geo-Information Science and Earth Observation (ITC) Enschede, combines expertise in geographic information systems and its application in disease control.
The course gives an introduction to the use of GIS in disease control programmes and provides knowledge and basic skills on how GIS can be used for disease control, focusing on the epidemiological assessment of disease burden and the improvement of programmatic planning and management. Participants can choose from a range of practical case studies to tailor the course to their own needs.
For more information contact Dr. Mirjam Bakker
During the first week in Enschede, participants will be familiarized with key concepts and techniques in GIS, with an emphasis on developing basic software operating skills (ESRI ArcGIS vs 10.1 desktop).
- Data collection and formats, including coordination systems, projections and geo-referencing
- Data storage and processing
- Exploratory Spatial Data Analysis (ESDA)
- Geo-spatial data mapping, geo-visualization and data interpretation.
Important issues are the spatial and temporal characteristics of health data, design, collection of spatial (baseline) data and geo-visualization.
The second week, held at KIT in Amsterdam, provides an opportunity to apply and extend the GIS skills that have been learned in the first week. The course will address specific topics in disease epidemiology, in disease patterns in space and time, and in planning and evaluation of disease control programmes. Participants will work independently or in small groups on case studies using source data provided. The level of the case studies range from basic mapping to more advanced geo-statistical applications. Participants can choose between different topics according to their individual training requirements.
The programme includes the following themes:
- Visualization and exploration of patterns of disease in space and time
- Identification of risk factors of disease in space and time, including risk mapping
- Assessment of accessibility and availability to health facilities
- Visualization and analysis of health management information, such as indicators for monitoring and evaluation of programme performance and availability of (human) resources.
During the first and second week participants will be assisted in setting up a GIS based on their own data, as well as applying newly obtained GIS techniques to their data.
The course will use ArcGIS. Participants will obtain a one-year student license for ArcGIS (ArcView).
The application package is due two months before the start of the course.
Please upload your application online. The following documents should be uploaded:
- A one-page letter of motivation
- Copies of your diplomas and grade reports
- An up-to-date curriculum vitae and a list of publications if applicable
This course can be taken on its own, or as advanced module of the Master of Public Health (MPH) or Master in International Health (MIH) programme.
- The Early Bird tuition fee for this course is € 1585 (excluding accommodation and insurance!). This fee applies for participants that pay the full tuition fee before 31 March 2019.Tuition fee for payments made after 31 March 2019 will be € 2010.
So make sure you apply now and pay before the deadline.
- The course is intended for programme officers, data-managers working in disease control, and researchers and students in the field of public health and epidemiology.
- Fluency in English and general computer skills are required.
- A basic understanding of data analysis is recommended
- For participants from outside Europe the application deadline is 4 weeks before the start of the course. When interested, we encourage you to apply as soon as possible, because admission is closed when the maximum number of participants (25) is reached.
For this course and a number of other KIT courses funding from the Orange Knowledge Programme (OKP, former NFP) is available for applicants from OKP countries. See the OKP page for more information. See top of this page for the OKP deadline for this course. Applicants from OKP countries are strongly encouraged to apply for an OKP scholarship.
More information about the OKP scholarship you can find at those websites:
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