YoVDO

A Probabilistic Approach for Situation Awareness and Forecasting of COVID-19 in Norway

Offered By: Alan Turing Institute via YouTube

Tags

Epidemiology Courses Bayesian Statistics Courses Monte Carlo Methods Courses Public Health Policy Courses Probabilistic Models Courses

Course Description

Overview

Save Big on Coursera Plus. 7,000+ courses at $160 off. Limited Time Only!
Explore a probabilistic model for estimating regional and local COVID-19 transmission dynamics in Norway through this informative talk. Gain insights into a metapopulation model that incorporates real-time mobile phone mobility data and multiple epidemiological time series. Learn about the novel split sequential Monte Carlo Approximate Bayesian Computation method developed to handle increasing parameter dimensions over time. Discover how this approach is actively used to inform Norwegian crisis teams about regional epidemiological situations. Understand the practical applications and challenges of modeling in pandemic management as presented by the Norwegian Institute of Public Health.

Syllabus

A probabilistic approach for situation awareness and forecasting of the COVID-19 pandemics in Norway


Taught by

Alan Turing Institute

Related Courses

Fundamentals of Quantitative Modeling
University of Pennsylvania via Coursera
Теория вероятностей – наука о случайности
Tomsk State University via Stepik
Statistics and Data Science
Massachusetts Institute of Technology via edX
Natural Language Processing with Probabilistic Models
DeepLearning.AI via Coursera
Natural Language Processing
DeepLearning.AI via Coursera