Course Summary
This course introduces students to the SIR model for disease transmission and the mathematical concepts behind it. Students will learn how to develop the SIR model and apply it to real-world scenarios.Key Learning Points
- Understand the mathematical concepts behind the SIR model
- Develop the SIR model for disease transmission
- Apply the SIR model to real-world scenarios
Job Positions & Salaries of people who have taken this course might have
- Epidemiologist
- USA: $70,990
- India: ₹4,90,000
- Spain: €29,000
- Data Scientist
- USA: $113,309
- India: ₹9,00,000
- Spain: €36,000
- Public Health Analyst
- USA: $60,000
- India: ₹4,00,000
- Spain: €25,000
Related Topics for further study
Learning Outcomes
- Develop a strong understanding of the SIR model
- Be able to apply the SIR model to real-world scenarios
- Gain knowledge on mathematical modeling for disease transmission
Prerequisites or good to have knowledge before taking this course
- Basic knowledge of calculus
- Familiarity with statistics
Course Difficulty Level
IntermediateCourse Format
- Online
- Self-paced
Similar Courses
- Epidemiology: The Basic Science of Public Health
- Infectious Disease Dynamics
Related Education Paths
Notable People in This Field
- Professor of Epidemiology
- Professor of Mathematical Biology
Related Books
Description
Compartmental modelling is a cornerstone of mathematical modelling of infectious diseases and this course will introduce some of the basic concepts in building compartmental models, including how to interpret and represent rates, durations and proportions. You'll learn to place the mathematics to one side and concentrate on gaining intuition into the behaviour of a simple epidemic, and be introduced to further basic concepts of infectious disease epidemiology, such as the basic reproduction number (R0) and its implications for infectious disease dynamics. To express the mathematical underpinnings of the basic drivers that you study, you'll use the simple SIR model, which, in turn, will help you examine different scenarios for reproduction numbers. Susceptibility to infection is the fuel for an infectious disease, so understanding the dynamics of susceptibility can offer important insights into epidemic dynamics, as well as priorities for control.
Knowledge
- Construct valid mathematical models capturing the natural history of a given infectious disease
- Interpret compartmental models in terms of rates, proportions and delays
- Describe the fundamental processes driving the dynamics of an SIR epidemic and show their relation to important concepts
- Explain mechanisms by which susceptibility can change over time and develop a simple SIR model to account for these under given parameters
Outline
- Modelling the Basics
- Welcome to the Course
- An Insider's View of IDM
- Infected Cohorts and Simple Flows
- Calculating Competing Hazards in Compartmental Models
- The Force of Infection
- Introduction to the SIR Model
- Modelling the Force of Infection
- Reflections on the SIR Model
- Welcome to Infectious Disease Modelling
- About the Infectious Disease Modelling Team
- Glossary
- Modelling Infectious Disease Dynamics
- Anatomy of an Epidemic
- Introduction to the Week
- Fundamental Drivers of Epidemic Growth
- Why an Epidemic Peaks
- Departures from the SIR Model
- Can We Control Transmission?
- Combining Modelling and Insights
- Introduction to the Week
- Explaining R0 in Model Terms
- Prevalence and Incidence
- More Complex Forms of R0
- Dynamics of Susceptibles
- Modelling Population Turnover
- A Simple Model for Vaccination
- Modelling Waning Immunity
- Summary: Modifiers of Population Susceptibility
- Course Quiz
Summary of User Reviews
This course on developing the SIR model has received positive reviews from users. Many found the course to be informative and well-structured.Key Aspect Users Liked About This Course
The course content was informative and well-structured.Pros from User Reviews
- Clear and concise explanations of the SIR model
- Interactive practice exercises to reinforce learning
- Engaging and knowledgeable instructor
- Useful real-world examples and applications
- Great for beginners in epidemiology and infectious disease modeling
Cons from User Reviews
- Some users found the pace of the course to be too slow
- Not enough advanced material for more experienced learners
- Limited interaction with other students
- Some technical issues with the online platform
- Course may not be applicable to all fields of study
Nimalan Arinaminpathy
4.9 Raiting
C Programming For Beginners - Master the C Language
- 4.4
-
![]()
![]()
![]()
![]()
![]()
C Programming will increase career options. Become a better dev in other languages by learning C. Pointers explained It is! It's a great language to add to your resume!...
How To Use Git Branches To Speed Up Android App Development
- 4.3
-
![]()
![]()
![]()
![]()
![]()
Learn How To Use Git Branching Model Effectively To Make You Develop Android Apps Easier And Faster You know the differences between commits, branches and tags....
Yoga Teacher Toolbox: Corrections & Adjustments
- 4.2
-
![]()
![]()
![]()
![]()
![]()
Learn techniques to enhance your students' class experience and deepen your own practice. Teachers will learn how to determine if a correction is appropriate and how to provide that correction....
Managing Talent
- 4.6
-
![]()
![]()
![]()
![]()
![]()
In this course, you will learn best practices for selecting, recruiting, and onboarding talent. You will also learn about the key approaches to measuring performance and evaluating your employees....
