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.
Este curso forma parte de Programa especializado: Infectious Disease Modelling
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Programa especializado: Infectious Disease ModellingImperial College LondonAcerca de este Curso
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Fechas límite flexibles
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Certificado para compartir
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100 % en línea
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Curso 3 de 3 en
Nivel intermedio
Aprox. 20 horas para completar
Inglés (English)
Subtítulos: Inglés (English)
Qué aprenderás
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 structure
Evaluate the assumptions behind the Ross MacDonald model, and code such a model using R to simulate the dynamics of a vector-borne disease
Critically evaluate a modelling study and communicate its strengths and weaknesses to a scientifically literate audience
Habilidades que obtendrás
- Mathematical Model
- R Programming
- Infectious Diseases
Fechas límite flexibles
Restablece las fechas límite en función de tus horarios.
Certificado para compartir
Obtén un certificado al finalizar
100 % en línea
Comienza de inmediato y aprende a tu propio ritmo.
Curso 3 de 3 en
Nivel intermedio
Aprox. 20 horas para completar
Inglés (English)
Subtítulos: Inglés (English)
ofrecido por
Imperial College London
Imperial College London is a world top ten university with an international reputation for excellence in science, engineering, medicine and business. located in the heart of London. Imperial is a multidisciplinary space for education, research, translation and commercialisation, harnessing science and innovation to tackle global challenges.
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Este curso está relacionado con Global Master of Public Health 100 % en línea de Imperial College London. Te proporcionará una vista previa de los temas, materiales e instructores para que puedas decidir si el programa de título de grado totalmente en línea es adecuado para ti.
Programa - Qué aprenderás en este curso
7 horas para completar
Building on the SIR Model: Stochasticity
The other two courses in this specialisation have focused on performing deterministic modelling - that is, the epidemic outcome is predictable as all parameters are fully known. However, there are many cases, especially in the early stages of an epidemic, where chance events can be influential in the future of an epidemic. In this module, you will be introduced to some examples of such ‘stochasticity’, as well as, simple approaches to modelling these epidemics using R.
7 horas para completar
5 videos (Total 14 minutos), 8 lecturas
6 horas para completar
Building on the SIR model: Heterogeneity
In the basic deterministic SIR model, all susceptible individuals in a population are subject to the same risks of infection. However, there are many important infectious diseases where certain groups of the population account for a disproportionate amount of transmission: these are not always the same groups that bear the greatest amount of morbidity and mortality. In this module, you will examine how to model infections for which such ‘population structure’ plays an important role in the transmission dynamics.
6 horas para completar
2 videos (Total 7 minutos), 2 lecturas
5 horas para completar
Building on the SIR model: Vector-borne Diseases
Many important diseases are not directly transmitted between hosts, but depend on ‘vectors’ to pass infection between hosts, for example biting insects. It is important to be able to extend the modelling approaches you have studied so far to capture these more complex forms of natural history. In this module, you will learn some of the basic approaches to modelling vector-borne diseases, including the Ross-McDonald model, which is a framework that provides an important foundation for such diseases.
5 horas para completar
6 videos (Total 25 minutos), 1 lectura
2 horas para completar
Assignment: Modelling Study Critique
Even if you are not designing and simulating mathematical models in future, it is important to be able to critically assess a model, to appreciate its strengths and weaknesses, and to identify how it could be improved. One way of gaining this skill is to conduct a critical peer review of a modelling study in the position of a reviewer evaluating it for publication in a journal. This module is reserved for the completion of your assignment - for you to apply the knowledge and skills you've developing throughout this specialisation.
2 horas para completar
Reseñas
- 5 stars75 %
- 4 stars25 %
Principales reseñas sobre BUILDING ON THE SIR MODEL
por IH20 de sep. de 2020
A great learning opportunity. Advanced content presented in a convincing and understandable manner. Simply amazing.
por GC23 de jun. de 2020
I thought it was clear, the syntax problems were about the same topic and needed the solution talked about in the videos. The subject was completely covered. I already recommended it to like 5 people.
por DT13 de ago. de 2020
I have found it useful for increasing my insights into infectious disease modelling.
por DG19 de jun. de 2021
a great follow up to the R coding course and a good entree into the world of public health
Acerca de Programa especializado: Infectious Disease Modelling
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.
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