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Course Description
This course deals with health data involving both space and time. There are three main approaches that we will study:- When data represent infectious disease cases in a particular region, we will use compartmental models, such as the S-I-R (Susceptible, Infections, Removed) model and its generalizations.
- When data represent environmental factors taken at irregularly spaced sites, we will use kriging and its generalizations.
- When data represent disease cases in predefined regions (e.g., counties) we will use conditional autoregressive models across time.
Course Outline
- Infectious Disease Modeling
- Introduction to Spatio-Temporal Models
- Fitting Spatio-Temporal Models
- Disease Mapping in Space and Time
Learner Outcomes
- Analyze the spread of diseases across time
- Build and analyze models to assess the health of populations across time and geographic regions
- Communicate results of spatial and spatio-temporal models applied to health data
Prerequisites
GEO5610 - Spatial Epidemiology and Disease Mapping or equivalent experience.Duration
30 Hours | 5 Days or 10 NightsLoading...
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*Academic Unit eligibility to be determined by college/university in which you are enrolled in a degree seeking program.
*Academic Unit eligibility to be determined by college/university in which you are enrolled in a degree seeking program.