Using GIS for Global Health

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.

Starting date
24/06/2019
Duration
2 weeks
Location
KIT, Amsterdam
ECTS
3 (90 hours)
Language
English
Course period
from 24/06/2019 to 05/07/2019
Course fee - Early bird fee (payment before 31st of March)
EUR 1.585
Course fee - Standard fee
EUR 2.010
Contact
courses@kit.nl

"The course is highly applicable and provides hands on practice."

"The course absolutely met all my expectations. I enjoyed every day of it."

"The instructors were extremely knowledgeable and helpful in trouble shooting"

"I appreciate the amount of topics covered. I feel I now know enough to find my way and learn more"

"The case studies force you to explore and find solutions which increased the learning."

Application

Admission criteria

  • A degree in public health or international health: BSc, MSc or equivalent academic training
    A basic knowledge of epidemiology and principles of social research
  • At least 3 years of professional experience, preferably working at a national level in low and middle income countries
  • Proven proficiency in spoken and written English

Application procedure

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

This course can be taken on its own or as part of the Master in International Health (MIH) programme.

Early Bird registration

Early Bird registration and payment applies when payment is made before 31 March 2019.
Please note that you will receive a response on your application within 4 weeks.

FAQ Online Application System


Do you have a question about our Online Application System? Then you can find the answer in our FAQ Online Application System:

Go to our FAQ Online Application System-page 

Content

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.

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.

Specific topics further 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

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

In both weeks guest speakers are invited to present applications of the use of GIS in disease control programmes and research projects.

The course will use the following open source and freely available software packages:

Coordinators

Photo of  <br>Team Leader Epidemiology


Team Leader Epidemiology

Mirjam I. Bakker

Read more
Photo of  <br>Epidemiologist


Epidemiologist

Ente J.J. Rood

Read more

Apply online

Apply online

You can find all information about our online application system on this page

Apply now

Contact us

Do you have a question? Please see our study FAQ page. If you cannot find the answer to your question, please click the button below.

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Why study at KIT?

  • Up-to-date approach to complex public health issues

  • Practice-oriented

  • Exchange between disciplines

  • Interactive Education

  • Development of personal and professional competencies

  • Network building

  • Participants from diverse backgrounds and countries

  • Personal tutoring

  • Teaching by highly qualified specialists

  • Positively reviewed by tropEd

  • KIT: international centre of excellence in international health and development

  • Accredited by NVAO