This course provides an introduction to methods in spatial epidemiology and outbreak detection. The focus is on application rather than theory: this is not a course in spatial statistics.
The course is structured sequentially to move from spatial exploration of health data, to quantifying spatial patterns and clusters, to spatial exposure assessment and, finally, to methods for assessing risk.
Broadly, the spatial epidemiology part of the course focuses on:
assessing exposures through the use of a geographical information system (GIS)
conducting small area health studies (ecological models)
incorporating spatial parameters into models for individual health analyses.
The outbreak detection part of the course focuses on visualization of spatial data, disease surveillance and the use of spatial scan statistics in cluster detection.
Recognize when—and why—a spatial approach is required and the assumptions, strengths, limitations, and interpretations of different spatial methods used in health research.
Identify geospatial technologies and methods for epidemiology and cluster detection.
Choose an appropriate study design to address a specific spatial epidemiological question.
Visualize patterns of health and disease in place and time.
Analyze clusters and diffusion of disease to identify outbreaks.
Conduct small area and individual spatial epidemiology studies.
Critically interpret spatial epidemiology and outbreak detection methods.
Apply spatial epidemiology and outbreak detection methods to various population health research questions.
Proven Proficiency includes: Some experience working with ArcGIS and MS Excel. Working knowledge of epidemiology and biostatistics fundamentals, including regression, rates, risk ratios, and standardization.
Admission to the Professional Specialization Certificate in Population Health Data Analysis or permission from the program to take up to two courses for professional development. Please note: in addition to other course fees, new students will be charged a one-time $100 secure ID token fee when registering for their first course.
If space is available, you may take PHDA04 as a stand-alone course for professional development. Non-certificate students must meet the same prerequisites as certificate students.
Minimum Registration Requirement
This course may be cancelled if the minimum enrollment requirement is not met by the registration deadline.
Our Students Say...
"The GIS courses, PHDA 03 and PHDA 04, 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." Sophy Zhang, Program Administrative Coordinator, Canadian Mental Health Association, BC Division
This course may be available online. Students login to the course and communicate with the instructor and fellow students via the Internet. All assignments and course activities are submitted electronically to the course instructor.
Using mobile devices in online courses
If you are planning on accessing your online courses using a mobile device such as a tablet or a smartphone, please note that not all required course features will be accessible with these devices. To fully function in your online courses, you will need to have access to a computer running Windows or MacOS.
Before course start date or up to six calendar days after the official course start date: 100% refund less a $100 administrative fee.
After course start day (up to 13 calendar days): A 50% refund will be provided.
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