"Both the PHDA 03 and PHDA 04 courses have made me confident working in ArcGIS, and applying principles of GIS/mapping to population health data and working on spatial analyses. In particular, what has been most helpful about these courses is applying the background theory to surveillance and research questions and walking through the analysis from start to finish, including interpretation of results."
PHDA testimonials
PHDA 03 Population Health and Geographical Information Systems
PHDA Overall program/course experience
"I would highly recommend this program to anyone wishing to gain a strong foundation in GIS and data, even those individuals not directly involved in the population health field. All of the courses force the student to think critically, develop time management skills, become effective data organizers, and learn to work in a virtual team towards a common goal within very tight parameters. I found all staff related to the various components of the program very knowledgeable and considerate."
PHDA 06 Health Services Program Monitoring and Evaluation
"For my current job role, PHDA 06 evaluation course reinforced work planning, stakeholder engagement planning, and reporting planning skills -- their corresponding activities are prevalent at my job."
PHDA 05 Longitudinal Analysis and Multi-level Modeling of Population Health Data
"The courses I found to be of greatest benefit to me and my work were PHDA 01 (Working with Administrative Data) and PHDA 05 (Longitudinal Analysis and Multi-level Modeling of Population Health Data). These courses provided practical skills that I find I apply regularly to my job, and made me much more comfortable with using data analytic programs like SAS."
PHDA full testimonial
- How did you learn about the program and what motivated you to enroll in the PHDA course(s) you chose?
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My MSc supervisor recommended them based on the learning goals I had for my Master’s degree. UBC doesn’t offer anything like it, so we needed to look for partner institutions.
- Tell us about your course experience. What skills did you develop and which courses provided the greatest benefit to you?
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I completed the PHDA 03 Population Health and GIS and PHDA 04 Spatial Epidemiology and Outbreak Detection courses. By taking these courses, I developed an understanding of how to overlay multiple sources of data onto a geographic region (from city, to country, to continent). I developed an understanding of questions to consider in how I represent this information to the audience, so that bias in how it is represented is minimized. I developed an understanding of not only how descriptive statistics can be geographically interpreted, but also how inferential statistics can be geographically interpreted. It taught me how to begin thinking spatially in-terms of patterns of health outcomes – neighbourhood make up, neighbourhood location, infrastructure, environmental concerns, etc.
- How do you plan to apply your new skills in your work/research?
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As part of my thesis.
- What do you think were the strengths of this program? Please provide examples.
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The labs and the access to the SRTL were the biggest strengths of these courses. The SRTL had all the software, and all the data, and was really easy to access, and was well maintained and organized. The SRTL and labs made the hands-on learning REALLY effective and stress free. The labs were applied, and had very tangible learning outcomes associated with them. They were practical in purpose, and effective in implementation via the SRTL. The labs were very smooth and impactful.
- Would you recommend PHDA courses to others? If so, what recommendations/suggestions would you give those interested in completing these courses?
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Yes. I would say that future students should explore the labs as much as possible. To really forefront the learning that you get out of that. The lecture material and prep material is abstract, but if you can focus most of your time on the labs, you can experiment and learn a lot.
University of British Columbia, 201-2206 East Mall, Vancouver BC V6T 1Z3
Health Data Research Network Canada (HDRN) member
International Population Data Linkage Network (IPDLN) member
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