CHL5232H: Applied Spatial Statistics for Public Health Data

This course provides a comprehensive introduction to spatial and spatiotemporal methods used in public health studies. It is designed as two related parts: 1) spatial and spatiotemporal statistics and 2) geostatistical regression models.

In Part 1, students will gain a solid understanding of spatial and spatiotemporal data structure, statistical methods. and techniques utilized in disease mapping and pattern analyses.

Part 2 introduces geostatistic data structure and regression models used for disease modelling and health risk prediction.

This course includes lectures and tutorials, using case studies to illustrate concepts, theory, and methodologies. R programming will also be provided to enhance practical knowledge and real-word data applications.

Credit Value (FCE)

0.50

Campus(es)

St. George

School of Graduate Studies University of Toronto 63 St. George Street Toronto, ON Canada M5S 2Z9
Tel: 416-978-6614

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