"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."
PHDA testimonials
PHDA 03 Population Health and Geographical Information Systems
PHDA 03 Population Health and Geographical Information Systems
"This course is a rich and nuanced exploration of the interplay of spatial associations between population health and exposure to multiple risk factors including pathogen/toxin load, socio-economic influences and ‘built environment’ indices. Well-paced and supported ‘labs’ move from mapping skills and associated ethics to the use of spatial statistics in assessing distribution in population health. Required readings are current and wide-ranging. The final project provides a wonderful opportunity to use acquired tools to explore in depth a personal research project of interest.
I highly recommend this course to all in population health – from analysts and city planners to physicians and veterinarians. The power of GIS to put “place” into the population health equation is a powerful tool. This course illuminates this exceptionally."
PHDA 04 Spatial Epidemiology and Outbreak Detection
"The GIS courses, PHDA 03 Population Health and GIS and PHDA 04 Spatial Epidemiology and Outbreak Detection provided the greatest benefits. They were excellent and introduced brand new skills for me. Prior to taking these courses I had some brief exposure to GIS within my Master’s program and through the free online PopData courses. The PHDA 03 and PHDA 04 course labs were very detailed and instructional, offering good balance between theory and practice. The courses generally had enough materials I could take away to continue working independently."
PHDA full testimonial
- How did you learn about the program and what motivated you to enroll?
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I learned about the PHDA program through browsing on web and was motivated to get more training in population health data analysis while working full-time.
- Tell us about your course experience. What skills did you develop and which courses provided the greatest benefit to you?
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Although the course load was a bit heavy at times, I think I’ve learned a lot and developed hands-on experience in analyzing population health data using SAS and ArcGIS.
- How have you been able to (or how do you plan to) apply your new skills in your work/research?
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I have not yet had a chance to utilize all the knowledge and skills I’ve gained in my current work, but definitely have a better understanding of results that are analyzed using ArcGIS.
- What do you think were the strengths of this program? Please provide examples.
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The strengths of this program include: good organization of coursework, exposure to variety of relevant topics, hands-on experience using several analytical software, excellent support and feedback by instructors, and a flexible schedule.
- Would you recommend this program to others? If so, what recommendations/suggestions would you give those interested in applying to this program?
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I would definitely recommend colleagues and others to take this program for further professional development.
- Any additional comments you would like to add?
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My program experience has been great and thank you for all the support I received from instructors and staff members in the PHDA program.
PHDA 03 Population Health and Geographical Information Systems
"I found PHDA 03 (Population Health and Geographic Information Systems) very interesting as it provided applicable GIS uses for health services research. I plan on increasingly incorporating GIS analyses in my health services research in order to understand another dimension of care accessibility during the end-of-life phase. "
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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