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.
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.
Tuition will be fully refunded (less a $100 administrative fee) with written notice to Maxine Reitsma (firstname.lastname@example.org) by 11:55 pm, six calendar days after the official course start date. A 50% refund will be provided with written notice by 11:55 pm, 13 calendar days after the official course start date. No tuition refunds will be provided after this date.