Course Summary
Learn how to build on the SIR model to predict and control the spread of infectious diseases. This course covers topics such as network models, vaccination strategies, and real-world case studies.Key Learning Points
- Understand the SIR model and its limitations
- Learn how to incorporate network models into disease spread predictions
- Explore vaccination strategies to control and prevent infectious diseases
- Analyze real-world case studies and apply learned concepts
Job Positions & Salaries of people who have taken this course might have
- USA: $70,990 - $119,290
- India: ₹312,000 - ₹2,719,000
- Spain: €26,000 - €50,000
- USA: $70,990 - $119,290
- India: ₹312,000 - ₹2,719,000
- Spain: €26,000 - €50,000
- USA: $50,000 - $100,000
- India: ₹240,000 - ₹1,800,000
- Spain: €18,000 - €35,000
- USA: $70,990 - $119,290
- India: ₹312,000 - ₹2,719,000
- Spain: €26,000 - €50,000
- USA: $50,000 - $100,000
- India: ₹240,000 - ₹1,800,000
- Spain: €18,000 - €35,000
- USA: $60,000 - $150,000
- India: ₹360,000 - ₹3,500,000
- Spain: €25,000 - €50,000
Related Topics for further study
Learning Outcomes
- Understand the SIR model and its limitations
- Apply network models to predict disease spread
- Develop vaccination strategies to control and prevent infectious diseases
Prerequisites or good to have knowledge before taking this course
- Basic understanding of calculus and probability
- Familiarity with Python programming language
Course Difficulty Level
IntermediateCourse Format
- Online
- Self-paced
- Video Lectures
Similar Courses
- Epidemics - the Dynamics of Infectious Diseases
- Modeling and Simulation in Python
- Data Science and Machine Learning Bootcamp
Related Education Paths
Notable People in This Field
- Epidemiologist
- Philanthropist
Related Books
Description
The other two courses in this specialisation require you to perform deterministic modelling - in other words, the epidemic outcome is predictable as all parameters are fully known. However, this course delves into the many cases – especially in the early stages of an epidemic – where chance events can be influential in the future of an epidemic. So, you'll be introduced to some examples of such ‘stochasticity’, as well as simple approaches to modelling these epidemics using R. You will examine how to model infections for which such ‘population structure’ plays an important role in the transmission dynamics, and will learn some of the basic approaches to modelling vector-borne diseases, including the Ross-McDonald Model.
Knowledge
- Distinguish between stochastic and deterministic models, explain when either are appropriate, and perform simple simulations of a stochastic model
- Identify where it is important to incorporate population structure in a model and design and simulate a transmission model capturing such structureÂ
- Evaluate the assumptions behind the Ross MacDonald model, and code such a model using R to simulate the dynamics of a vector-borne diseaseÂ
- Critically evaluate a modelling study and communicate its strengths and weaknesses to a scientifically literate audienceÂ
Outline
- Building on the SIR Model: Stochasticity
- Welcome to the Course
- An Insider's View of IDM
- Stochastic and Deterministic Models
- Simulating Stochasticity
- Populations with Pre-Existing Immunity
- Welcome to Infectious Disease Modelling
- About the Infectious Disease Modelling Team
- Glossary
- Modelling Infectious Disease Dynamics
- Building on the SIR Model
- The Story of MERS Coronavirus
- Calculating Incidence in a Deterministic Model
- The Resurgence of Measles
- Building on the SIR model: Heterogeneity
- Age-specific Mixing for Influenza
- Modelling Age-Specific Mixing
- The story of Seasonal Influenza
- Modelling Influenza Vaccination Policy in the UK
- Building on the SIR model: Vector-borne Diseases
- Ross MacDonald/Force of Infection - Part 1
- Ross MacDonald/Force of Infection - Part 2
- Vectorial Capacity - Part 1
- Vectorial Capacity - Part 2: Impact of Interventions
- A Closer Look at Interventions Against VBDs
- Vector-borne Diseases: Interventions and R0
- The Story of Dengue
- Assignment: Modelling Study Critique
Summary of User Reviews
Key Aspect Users Liked About This Course
The course provides a comprehensive understanding of epidemic modeling and its practical applications.Pros from User Reviews
- In-depth knowledge of the SIR model and its variations
- Applicable examples and case studies
- Interactive exercises and quizzes for knowledge reinforcement
- Clear and concise explanations by the instructor
Cons from User Reviews
- Some parts of the course may be too technical for beginners
- Limited interaction with the instructor
- No hands-on experience with epidemic modeling software
- The course may not be suitable for those seeking a broad overview of epidemiology
Nimalan Arinaminpathy
4.8 Raiting
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