"I plan to undertake some mapping of hotspots where illicit drug use is most common. For my interests at this time, I found the longitudinal data analysis course (PHDA 05) and geocoding skills in (PHDA 03) were the most helpful. This is because with increasing use of multiple drugs it is important to determine where outbreaks occur and be able to establish cohorts of people who use these substances and then follow over time determining predictors of change."
I learned about the program through emails from PopDataBC. I have been following PopDataBC since the organization was introduced to me during my MPH degree at UBC. I was motivated to enroll in the PHDA courses that I chose, because I was not offered the opportunity to take such courses during my MPH. I had a lot of background in epidemiological and statistical theory, with some coding experience introduced through my statistics courses, but not as much practical application of the theory as I would have liked or that I needed for my job.
The courses I have taken so far are Population Health and GIS (PHDA03) and Spatial Epidemiology (PHDA04). Both 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.
There are two areas that I hope to apply these skills in my work: one is improved visualization of population health data where a geographic component is present and relevant, and another is utilizing methodologies where unstable rates can be smoothed by drawing from the rates of neighbouring geographic areas. Where I work, small numbers are consistently an issue in producing stable and comparable rates.
Strengths included hands-on application of concepts (through the labs), responsive and supportive instructors, and reading materials that helped with learning the concepts. For example, the final projects allowed us to develop a practical research question, clean and analyze the required datasets, produce maps and analyses, and interpret results, which would mirror a typical project in the workplace.
Yes, I would definitely recommend PHDA courses to others. I would suggest ensuring there is ample time outside of your regular job to complete the coursework, as I found the readings were quite time consuming (although very interesting).
"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."
"I enjoyed all the courses. In particular, I found the GIS course very interesting and fun as I had never worked in this subject area before. I also benefitted from learning new SAS skills in other PHDA courses. Prior to taking the program, I had no knowledge of SAS.
The instructors were all very knowledgeable and experienced. They really supported students through engaging conversations and encouragement for our work assignments. The PHDA courses catered to both beginner students as well as those with experience in the field. Instructors were always willing to provide extra resources and support – the courses were never boring!"
"The program’s strength emerged from how the courses were offered sequentially (eg: PHDA 03 and then PHDA 04) and the incorporation of Lab work into the course curriculum which provided the opportunity for more practical knowledge to be gained. Another strength is the friendly learning environment and willingness of the instructors to go an extra mile to assist students to understand concepts and course materials."
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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