Interventions and Calibration
This course covers approaches for modelling treatment of infectious disease, as well as for modelling vaccination. Building on the SIR model, you will learn how to incorporate additional compartments to represent the effects of interventions, such the effect of vaccination in reducing susceptibility. You will learn about ‘leaky’ vaccines and how to model them, as well as different types of vaccine and treatment effects.
Monthly Subscription Starting at AED 99 + VAT
- Level Professional
- Duration 24 hours
- Course by Imperial College London
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Offered by
About
This course covers approaches for modelling treatment of infectious disease, as well as for modelling vaccination. Building on the SIR model, you will learn how to incorporate additional compartments to represent the effects of interventions, such the effect of vaccination in reducing susceptibility. You will learn about ‘leaky’ vaccines and how to model them, as well as different types of vaccine and treatment effects. It is important to consider basic relationships between models and data, so, using the basic SIR model you have developed in course 1, you will calibrate this model to epidemic data. Performing such a calibration by hand will help you gain an understanding of how model parameters can be adjusted in order to capture real-world data. Lastly in this course, you will learn about two simple approaches to computer-based model calibration - the least-squares approach and the maximum-likelihood approach; you will perform model calibrations under each of these approaches in R.Modules
Welcome to the Course
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2
Videos
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4
Readings
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1
Discussion
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1
Lab
1
Discussions
- Discuss your Interest or Experience in Modelling
1
Labs
- Completing Etivities in Jupyter Notebooks
2
Videos
- Welcome to the Course
- An Insider's View of IDM
4
Readings
- Welcome to Infectious Disease Modelling
- About the Infectious Disease Modelling Team
- Glossary
- Modelling Infectious Disease Dynamics
R References
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2
Lab
2
Labs
- R Reference Guide for IDM
- Solving differential equations using ode() in R
Treatment and Vaccination
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1
Videos
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1
Readings
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4
Lab
4
Labs
- Modelling Treatment
- Solution: Modelling Treatment
- A Separate Compartment for Vaccination
- Solution: A separate compartment for vaccination
1
Videos
- Modelling Curative Treatment
1
Readings
- Modelling Vaccination: First Steps
Leaky Vaccines
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1
Videos
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2
Lab
2
Labs
- Modelling a Leaky Vaccine
- Solution: Modelling a Leaky Vaccine
1
Videos
- Modelling Vaccination: Leaky Vaccines
Additional Vaccine Effects
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1
Videos
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1
Discussion
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2
Lab
1
Discussions
- Questions so far
2
Labs
- Modelling Additional Vaccine Effects
- Solution: Modelling Additional Vaccine Effects
1
Videos
- Modelling Vaccination: Additional Vaccine Effects
Models and Data
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2
Videos
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1
Discussion
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2
Lab
1
Discussions
- Share your values for beta and gamma
2
Labs
- Manual calibration of an SIR model, Part I
- Solution: Manual calibration of an SIR model, Part I
2
Videos
- Models and Data: A Brief Detour into the Solar System
- Relationships Between Models and Data
Modelling with Insufficient Data
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1
Videos
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2
Lab
2
Labs
- Manual calibration of an SIR model, part II
- Solution: Manual Calibration of an SIR Model, Part II
1
Videos
- Modelling with Insufficient Data
Modelling with Sufficient Data
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1
Videos
1
Videos
- Modelling with Sufficient Data
Computer-based Calibration
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2
Videos
2
Videos
- Computer-based Calibration: The Overall Approach
- Introduction to Least-Squares Calibration
Calibration
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6
Lab
6
Labs
- Writing a sum-of-squares function in R
- Solution: Writing a sum-of-squares function in R
- Automated least-squares calibration
- Solution: Automated least-squares calibration
- How Calibrations Inform Policy
- Solution: How Calibrations Inform Policy
Recap - Least-squares Estimation
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1
Videos
1
Videos
- Recap: Least-squares Estimation
Constructing Likelihoods
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3
Videos
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1
Lab
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1
Assignment
1
Assignment
- Which is the Correct Code Block?
1
Labs
- Which is the correct code block?
3
Videos
- The Concept of Likelihood
- Constructing a Likelihood Function
- To Log or not to Log?
Performing Likelihoods
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1
Videos
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2
Lab
2
Labs
- Performing maximum likelihood estimate
- Solution: Performing maximum likelihood estimate
1
Videos
- Overview of Model Calibration
Assignment: Modelling Project
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1
Readings
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1
Lab
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1
Assignment
1
Assignment
- Modelling outputs
1
Labs
- Modelling Project
1
Readings
- Modelling Project
Auto Summary
Dive into the intricacies of infectious disease management with the "Interventions and Calibration" course, a comprehensive program offered by Coursera, tailored for professionals in the Health & Fitness domain. This engaging course delves into advanced techniques for modeling treatments and vaccinations, enhancing your understanding of the Susceptible-Infectious-Recovered (SIR) model by introducing additional compartments to account for intervention effects, such as vaccination. Throughout the course, you'll explore the dynamics of 'leaky' vaccines and various types of vaccine and treatment impacts. A significant focus is placed on the relationship between models and real-world data, guiding you through the manual calibration of the basic SIR model to epidemic data. This hands-on experience is designed to deepen your insight into adjusting model parameters to accurately reflect empirical data. Further, you'll become proficient in two fundamental computer-based model calibration methods: the least-squares approach and the maximum-likelihood approach, utilizing the statistical software R to perform these calibrations. Spanning 1440 minutes, this professional-level course offers flexible subscription options, including Starter and Professional plans, catering to those seeking to enhance their expertise in infectious disease modeling and data calibration. Whether you're a health professional, epidemiologist, or data scientist, this course will equip you with the essential skills to model and analyze intervention strategies effectively.
Nimalan Arinaminpathy