PHDA testimonials

"The courses that provided me the greatest benefit included the Population Health and Geographic Information Systems (GIS), and Spatial Epidemiology and Outbreak Detection.

Using the GIS and SAS skills that I learned from the PHDA program, I was able to create a Normalized Difference Vegetation Index (NDVI) layer using GIS software, which showed peak greenness for the entire country over a ten-year period. Using this data and other administrative databases a team of researchers led by Dr. Dan Crouse and myself, conducted a research study that looked at how living by residential greenspace can impact longevity."

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"Courses which benefited me the most are PHDA 03 Population Health and Geographic Information System (GIS) and PHDA 04 Spatial Epidemiology and Outbreak Detection.

I am really satisfied with these courses 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."

"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 labs were applied, and had very tangible learning outcomes associated with them. They were practical in purpose, and effective in implementation via the SRLT. The labs were very smooth and impactful."

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Overall, I had a positive program experience. I greatly appreciated the asynchronous format as it allowed me to develop my skills without risking my other professional commitments. I believe the skills I have learned through this program will be directly relevant to my current research interests. The PHDA program is a great program for anyone who is interested in further exploring population-level analyses."

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"The Working with Administrative Data was one of the courses that provided me with the greatest benefits. As I was completing the PHDA 01 course, my workplace, the New Brunswick Institute for Research Data and Training, was just receiving its first health data set. Having had the opportunity to use BC’s administrative datasets such as the Discharge Abstract Database (DAD) provided me with a first glance at what our provincial data would look like, and how I could manipulate and analyze them."

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