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.
이 강좌에 대하여
귀하가 습득할 기술
- 5 stars75%
- 4 stars18.75%
- 3 stars2.08%
- 2 stars4.16%
INTERVENTIONS AND CALIBRATION의 최상위 리뷰
Good content but some exercises and final quiz are designed poorly that sometimes don't even test your learning.
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.
Excellent course videos, content, assignment quiz. Received very good support from instructor and other members/ learners on discussion forum.
This builds on excellently from the first course. The transition is seamless, and the final modelling project was super fun.
Infectious Disease Modelling 특화 과정 정보
자주 묻는 질문
강의 및 과제를 언제 이용할 수 있게 되나요?
이 전문 분야를 구독하면 무엇을 이용할 수 있나요?
재정 지원을 받을 수 있나요?
궁금한 점이 더 있으신가요? 학습자 도움말 센터를 방문해 보세요.