"The PHDA 03 course involved a lot of work, but was structured in a way that it was easy to work through each module. The instructor provided step by step instructions for each module about how to use ArcGIS. By the end of the course, I went from someone with zero experience in GIS to someone who can understand how to interpret maps, basic tools in ArcGIS, and how to apply GIS to public health issues."
"I would recommend this program to anyone working in the public health field that is handling or interpreting data and looking to update or acquire new skills. The courses were of high quality, good value and appropriate for anyone at the introductory or intermediate level.
For a program that is delivered completely online, each course was organized and delivered very well. Most of the instructors were very quick with their replies to questions from students. All of the courses used practical examples to explain the material which I found really helpful for understanding how to apply the concepts in practice. Even though the courses required a bit more work and time commitment than I initially planned for, I felt each of them challenged me and taught me new concepts and skills that I can take away and use immediately in my work."
"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."
"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."
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.
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.
As part of my thesis.
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.
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.
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Health Data Research Network Canada (HDRN) member
International Population Data Linkage Network (IPDLN) member
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