Learn advanced infectious disease modeling techniques including stochastic models, population structure, and vector-borne diseases.
Learn advanced infectious disease modeling techniques including stochastic models, population structure, and vector-borne diseases.
This course cannot be purchased separately - to access the complete learning experience, graded assignments, and earn certificates, you'll need to enroll in the full Infectious Disease Modelling Specialization program. You can audit this specific course for free to explore the content, which includes access to course materials and lectures. This allows you to learn at your own pace without any financial commitment.
4.7
(23 ratings)
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Instructors:
English
21 languages available
What you'll learn
Distinguish between stochastic and deterministic models
Perform simulations of stochastic models using R
Design models incorporating population structure
Evaluate and implement the Ross-MacDonald model
Critically assess modeling studies and communicate findings
Skills you'll gain
This course includes:
0.73 Hours PreRecorded video
1 peer review
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FullTime access
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There are 4 modules in this course
This advanced course builds upon the basic SIR (Susceptible-Infectious-Recovered) model to explore complex aspects of infectious disease modeling. Students learn about stochastic modeling for early-stage epidemics, population structure impacts on disease transmission, and vector-borne disease dynamics using the Ross-McDonald model. The course emphasizes hands-on implementation using R programming and includes critical evaluation of modeling studies. Through practical exercises and peer review assignments, students develop skills in both creating and analyzing sophisticated epidemiological models.
Building on the SIR Model: Stochasticity
Module 1 · 7 Hours to complete
Building on the SIR Model: Heterogeneity
Module 2 · 6 Hours to complete
Building on the SIR Model: Vector-borne Diseases
Module 3 · 4 Hours to complete
Assignment: Modelling Study Critique
Module 4 · 2 Hours to complete
Fee Structure
Instructor
Global Health Expert
Dr. Nimalan Arinaminpathy is a Reader in Mathematical Epidemiology at Imperial College London, within the Faculty of Medicine and School of Public Health. His courses focus on building and developing the SIR (Susceptible, Infected, Recovered) model, as well as exploring interventions and calibration within that framework.
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4.7 course rating
23 ratings
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