"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 got to know about the program through my former master’s thesis supervisor. My quest to broaden my knowledge in geographic information systems (GIS) and spatial epidemiology motivated me to enrol in the program.
I am really satisfied with the course especially the hands-on experience gained while using ArcMap to map diseases and assess spatial dependences. Skills developed include generating choropleth map, joining attribute tables to shapefile and perform geographically weighted regressions. Courses which benefited me the most are PHDA 03-Population Health and Geographic Information System (GIS), PHDA 01-Working with Administration Data and PHDA-04-Spatial Epidemiology and Outbreak Detection.
I have not yet applied the acquired skills to my research, but the skills will be useful for my future research work.
The program’s strength emerged from how the courses were offered with typical examples such as offering PHDA 03 before PHDA 04 and also 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.
Yes. I recommend this program to students, especially those with no prior knowledge in spatial epidemiology and GIS and are keen on knowing more about these areas.
I have not regretted enrolling in this program, and have actually enhanced my skill set.
"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."
"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."
"Although I have experience in the area of Population Health, I had no formal training working with layered data sets. The Working with Administrative Data course was good as it included making a data dictionary and use of admin data. One of my ongoing projects at work involves assessing trends in surgery wait times for lung cancer patients. This work involved analysis of local data as a pilot project looking for trends in regional variations; I used techniques learned in PHDA 01 to facilitate this analysis. I am happy that I took PHDA 01 before PHDA 02 as I didn’t have strong SAS skills and PHDA 01 includes an introduction to SAS skills from the very beginning."
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
Follow us on Bluesky and check out our YouTube Channel. 
Copyright 2025 | All rights reserved