Este curso forma parte de Programa especializado: Infectious Disease Modelling

4.7
estrellas
49 calificaciones

Nimalan Arinaminpathy

2565 ya inscrito

Ofrecido Por

Asociado con el título de grado Global Master of Public Health
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Programa especializado: Infectious Disease ModellingImperial College London

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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.

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100 % en línea

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Laboratorios de Coursera

Incluye proyectos de aprendizaje prácticos.

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Curso 2 de 3 en

Programa especializado: Infectious Disease Modelling

Nivel intermedio

Aprox. 24 horas para completar

Inglés (English)

Qué aprenderás

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.

Habilidades que obtendrás

Mathematical Model
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.

Laboratorios de Coursera

Incluye proyectos de aprendizaje prácticos.

Obtén más información sobre los laboratorios de Coursera

Curso 2 de 3 en

Programa especializado: Infectious Disease Modelling

Nivel intermedio

Aprox. 24 horas para completar

Inglés (English)

Instructor

Calificación del instructor

5/5 (12 calificaciones)

Nimalan Arinaminpathy

Faculty of Medicine, School of Public Health

9967 alumnos

4 cursos

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.

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Programa - Qué aprenderás en este curso

Semana1

Semana 1

10 horas para completar

Modelling Interventions

Once you have captured the basic dynamics of transmission using simple mathematical models, it is possible to use these models to simulate the impact of different interventions. You will study 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 (for example, 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.

10 horas para completar

5 videos (Total 16 minutos), 5 lecturas

Semana2

Semana 2

3 horas para completar

Confronting Models with Data - Part A

All models answering public health questions first need to be matched, or ‘calibrated’, against real-world data to ensure that model-simulated dynamics are consistent with what is observed. In this module, you will consider basic relationships between models and data. Using the basic SIR model that you've developed so far, you will calibrate this model to epidemic data. Through performing this calibration by hand, you'll gain an understanding of how model parameters can be adjusted so as to order to capture real-world data.

3 horas para completar

4 videos (Total 14 minutos)

Semana3

Semana 3

4 horas para completar

Confronting Models with Data - Part B

In practice model calibration for compartmental models is rarely done by hand. Rather, we construct a function that summarises the goodness-of-fit between the model and the data and then use available computer algorithms to maximise this goodness-of-fit. In these next two modules, 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.

4 horas para completar

3 videos (Total 8 minutos)

Semana4

Semana 4

6 horas para completar

Confronting models with data – Part C

Please note - learning outcomes are the same across both this and the last module. In practice, model calibration for compartmental models is rarely done by hand. Rather, we construct a function that summarises the goodness-of-fit between the model and the data and then use available computer algorithms to maximise this goodness-of-fit. In these two modules, you'll 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.

6 horas para completar

4 videos (Total 10 minutos), 1 lectura, 2 cuestionarios

Reseñas

4.7

23 reseña

5 stars
75,51 %
4 stars
18,36 %
3 stars
2,04 %
2 stars
4,08 %

Principales reseñas sobre INTERVENTIONS AND CALIBRATION

por B24 de dic. de 2021

Very useful course.. I have learnt many things useful for my career

por GC23 de jun. de 2020

Excellent course led from first course right into this course perfectly. Level is perfect assignments perfect. Already told 5 people about it.

por SS8 de ago. de 2021

Stuck in last quiz for many hours, dig in many forums. Finally learn in-depth how and why model structure be like that. 5/5 would loss in thought again.

por VJ5 de ago. de 2020

Final quiz was tough but all in all an excellent course!

Ver todas las reseñas

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.

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.

Preguntas Frecuentes

¿Cuándo podré acceder a las lecciones y tareas?
El acceso a las clases y las asignaciones depende del tipo de inscripción que tengas. Si tomas un curso en modo de oyente, verás la mayoría de los materiales del curso en forma gratuita. Para acceder a asignaciones calificadas y obtener un certificado, deberás comprar la experiencia de Certificado, ya sea durante o después de participar como oyente. Si no ves la opción de oyente:
es posible que el curso no ofrezca la opción de participar como oyente. En cambio, puedes intentar con una Prueba gratis o postularte para recibir ayuda económica.
Es posible que el curso ofrezca la opción 'Curso completo, sin certificado'. Esta opción te permite ver todos los materiales del curso, enviar las evaluaciones requeridas y obtener una calificación final. También significa que no podrás comprar una experiencia de Certificado.
¿Qué recibiré si me suscribo a este Programa especializado?
Cuando te inscribes en un curso, obtienes acceso a todos los cursos que forman parte del Programa especializado y te darán un Certificado cuando completes el trabajo. Se añadirá tu Certificado electrónico a la página Logros. Desde allí, puedes imprimir tu Certificado o añadirlo a tu perfil de LinkedIn. Si solo quieres leer y visualizar el contenido del curso, puedes auditar el curso sin costo.
¿Hay ayuda económica disponible?
Sí. En ciertos programas de aprendizaje, puedes postularte para recibir ayuda económica o una beca en caso de no poder costear los gastos de la tarifa de inscripción. Si hay ayuda económica o becas disponibles para tu selección de programa de aprendizaje, verás un enlace para postularte en la página de descripción.

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Interventions and Calibration

Acerca de este Curso

Qué aprenderás

Habilidades que obtendrás