About this Course

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Intermediate Level

Approx. 24 hours to complete

English

Subtitles: English

What you will learn

  • Identify the relationship between models and real-world epidemiological data

  • Incorporate treatment or vaccination into an SIR model, accounting for imperfect efficacy, and for different mechanisms of action

  • Perform simple calibrations of an SIR model against time-series data, selecting parameters to maximise the fit of the model to the data

  • Recognise two simple approaches to computer-based model calibration and perform model calibrations under each of these approaches in R.

Skills you will gain

Mathematical ModelInfectious Diseases

Shareable Certificate

Earn a Certificate upon completion

100% online

Start instantly and learn at your own schedule.

Flexible deadlines

Reset deadlines in accordance to your schedule.

Intermediate Level

Approx. 24 hours to complete

English

Subtitles: English

Offered by

Imperial College London logo

Imperial College London

Start working towards your Master's degree

This course is part of the 100% online Global Master of Public Health from Imperial College London. If you are admitted to the full program, your courses count towards your degree learning.

Syllabus - What you will learn from this course

Week
1

Week 1

10 hours to complete

Modelling Interventions

10 hours to complete
5 videos (Total 16 min), 5 readings
5 videos
An Insider's View of IDM4m
Modelling Curative Treatment4m
Modelling Vaccination: Leaky Vaccines2m
Modelling Vaccination: Additional Vaccine Effects2m
5 readings
Welcome to Infectious Disease Modelling10m
About the Infectious Disease Modelling Team10m
Glossary10m
Modelling Infectious Disease Dynamics35m
Modelling Vaccination: First Steps20m
Week
2

Week 2

3 hours to complete

Confronting Models with Data - Part A

3 hours to complete
4 videos (Total 14 min)
4 videos
Relationships Between Models and Data3m
Modelling with Insufficient Data2m
Modelling with Sufficient Data2m
Week
3

Week 3

4 hours to complete

Confronting Models with Data - Part B

4 hours to complete
3 videos (Total 8 min)
3 videos
Introduction to Least-Squares Calibration3m
Recap: Least-squares Estimation1m
Week
4

Week 4

6 hours to complete

Confronting models with data – Part C

6 hours to complete
4 videos (Total 9 min), 1 reading, 2 quizzes
4 videos
Constructing a Likelihood Function1m
To Log or not to Log?2m
Overview of Model Calibration3m
1 reading
Modelling Project 20m
2 practice exercises
Which is the Correct Code Block?5m
Modelling outputs 30m

About the Infectious Disease Modelling Specialization

Mathematical modelling is increasingly being used to support public health decision-making in the control of infectious diseases. This specialisation aims to introduce some fundamental concepts of mathematical modelling with all modelling conducted in the programming language R - a widely used application today. The specialisation will suit you if you have a basic working knowledge of R, but would also like to learn the necessary basic coding skills to write simple mathematical models in this language. While no advanced mathematical skills are required, you should be familiar with ordinary differential equations, and how to interpret them. You'll receive clear instruction in the basic theory of infectious disease modelling alongside practical, hands-on experience of coding models in the programming language R....
Infectious Disease Modelling

Frequently Asked Questions

  • Once you enroll for a Certificate, you’ll have access to all videos, quizzes, and programming assignments (if applicable). Peer review assignments can only be submitted and reviewed once your session has begun. If you choose to explore the course without purchasing, you may not be able to access certain assignments.

  • When you enroll in the course, you get access to all of the courses in the Specialization, and you earn a certificate when you complete the work. Your electronic Certificate will be added to your Accomplishments page - from there, you can print your Certificate or add it to your LinkedIn profile. If you only want to read and view the course content, you can audit the course for free.

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  • This Course doesn't carry university credit, but some universities may choose to accept Course Certificates for credit. Check with your institution to learn more. Online Degrees and Mastertrack™ Certificates on Coursera provide the opportunity to earn university credit.

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