"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."
I learned about the PHDA program through researching continuing education certificates focused on population-level health administrative analysis. I was motivated to do so as I am particularly interested in health services research during the end-of-life phase.
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 found PHDA05 (Longitudinal Analysis and Multi-level Modelling of Population Health Data) to be the most rewarding as it exposed me to higher level quantitative analyses. In addition, I found PHDA03 (Population Health and Geographic Information Systems) very interesting as it provided applicable GIS uses for health services research.
I believe the skills I have learned through this program will be directly relevant to my current research interests. Also, I plan on increasingly incorporating GIS analyses in my health services research, in order to understand another dimension of care accessibility during the end-of-life phase.
The collaborative activities throughout the various courses were greatly appreciated, despite the asynchronous format!
Absolutely – the PHDA program is a great program for anyone who is interested in further exploring population-level analyses. For prospective students, I recommend honing on your SAS skills prior to program completion. While not necessary, having prior experience using SAS is beneficial to successfully completing courses.
Overall, my experience was largely positive. The instructors are very knowledgeable and accessible to students, and the program staff are always helpful!
I was in Canada and the program seemed a perfect fit to my interests.
I thoroughly enjoyed the courses, although sometimes I had trouble keeping up. Having said that, I found the lecturers very sympathetic to my needs. It was great to develop more understanding of the analysis of administrative datasets and in particular learning how to use geocoded data.
I will use my skills to undertake some more specific analysis using linked data. In particular, I plan to undertake some mapping of hotspots where illicit drug use is most common. For my interests at this time I found longitudinal data analysis and geocoding 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.
The flexibility of the modules was very good and I appreciated learning from other students when there was something I couldn’t solve. For example when I couldn’t run a particular program, I could easily get assistance with this. Having access to previous assignments on the same topics made things much easier as well.
Yes, I would recommend this program and regularly circulate information about the courses as updates come to me.
It was a really great experience and I learnt a great many new things so thank you!
"I took the PHDA 03 course to update my data analysis and GIS skills so that I could apply them to my current position as senior policy analyst in environmental health. I have a number of years of policy analysis experience, which I felt would be complemented by focused studies on the application of data analysis and GIS to population and public health policy questions. The course provided a comprehensive overview of how GIS can be used to investigate various population and public health questions including: mapping administrative data; use of spatial targeting, tailoring and generating to inform health policy development; estimating access to health care services; chronic and communicable disease surveillance; and environmental health and exposure assessment. The flexibility of distance learning meant that it was possible to complete work at my own pace and schedule. It was also helpful to learn from students in different locations, who worked in related fields but had different strengths, skills and perspectives.
I would highly recommend this course and the PHDA program to my colleagues. It’s a well-structured and organized program and provides a good theoretical and practical approach to population health data analysis."
"The Epidemiological Statistics course includes a range of topics from calculating relative risk to meta-analysis. The instructor took the time to ensure all students were able to do the assignments and the course readings included useful references. I would recommend this course for anyone who is working in population and public health and uses epidemiological methods in their employment."
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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