PHDA testimonials

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PHDA 04 Spatial Epidemiology and Outbreak Detection
"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."

Samantha Salter, Epidemiologist

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PHDA 03 Population Health and Geographical Information Systems
"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."

Allyson Rayner, Curriculum Consultant

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PHDA 06 Health Services Program Monitoring and Evaluation
"For my current job role, PHDA 06 evaluation course reinforced work planning, stakeholder engagement planning, and reporting planning skills -- their corresponding activities are prevalent at my job."

Frederick Langshaw, Project Analyst, First National Health Authority

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PHDA 05 Longitudinal Analysis and Multi-level Modeling of Population Health Data
"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."

Lucinda Burns, Associate Professor, Faculty of Medicine, University of New South Wales

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PHDA 05 Longitudinal Analysis and Multi-level Modeling of Population Health Data
"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."

Abe Hafid, Statistical Analyst

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