PHDA testimonials

"The growing importance of spatial thinking in health policy and epidemiology underscores the immense value of this course for researchers and practitioners alike. As a frequent user of GIS, I found this course to be an indispensable update to both my technical skills and theoretical understanding of health geography and spatial data analysis.

The course material challenged us to think creatively and conduct our own projects with the support of the instructor, while the weekly lab assignments guided us closely through the necessary procedures. Weekly discussions encourage us to discuss issues and themes in health GIS and share ideas, an invaluable experience for learning and networking."

"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."

"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."

"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."

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"I found PHDA 05 (Longitudinal Analysis and Multi-level Modelling of Population Health Data) to be the most rewarding as it exposed me to higher level quantitative analyses."

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