Infectious Disease Modelling
Model infectious disease spread with R. Learn SIR models, data calibration, and public health intervention tools.
Model infectious disease spread with R. Learn SIR models, data calibration, and public health intervention tools.
This specialization introduces fundamental concepts of mathematical modeling for infectious disease control, using R programming. Students learn to construct and calibrate mathematical models, implement interventions, and analyze their effectiveness. The program combines theoretical foundations with practical coding experience, covering topics from basic SIR models to complex population structures and vector-borne diseases. Designed for those with basic R knowledge and understanding of differential equations, it provides hands-on experience in model development, calibration, and analysis for public health applications.
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What you'll learn
Construct valid mathematical models for infectious disease dynamics, implement and calibrate models using R programming, analyze intervention scenarios and their impacts, master SIR model development and modifications, understand stochastic vs deterministic modeling approaches, evaluate model strengths and limitations, communicate findings to scientific audiences.
Skills you'll gain
This course includes:
65 Hours PreRecorded video
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FullTime access
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There are 3 courses in this program
Developing the SIR Model
Course 1 · 21 Hours to complete · 4 modules
Interventions and Calibration
Course 2 · 24 Hours to complete · 4 modules
Building on the SIR Model
Course 3 · 20 Hours to complete · 4 modules
Fee Structure
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