Mathematical and Statistical Modelling in the Fight to Control Tuberculosis by Emma McBryde
Offered By: International Centre for Theoretical Sciences via YouTube
Course Description
Overview
Explore mathematical and statistical modeling techniques used in the fight against tuberculosis in this comprehensive lecture. Delve into the history, background, and current challenges of TB control. Examine various modeling approaches, including basic models, latency considerations, and mortality factors. Analyze simulations challenging traditional TB dogma and investigate disease endemic equilibrium scenarios. Learn about context-specific simulations for the Asia Pacific region and toy models. Gain insights into the application of mathematical and statistical methods in understanding and combating tuberculosis, with a focus on integrating experimental and clinical data to inform disease control strategies.
Syllabus
Start
Mathematical and Statistical modelling in the fight to control TuberculosisEmma McBryde 4th July 2019
M tuberculosis as causative agent for tuberculosis
Outline
Tuberculosis
Tuberculosis - History
Background
Model overview
Latency
Are we happy with our basic model
Mortality
What we don't know
Simulation: TB Dogma #3:
For the disease endemic equillibrium 1
For the disease endemic equilibrium 2
Simulation
Conclusions from this work
Context specific simulations:
Modelling of TB in the Asia Pacific Region
Toy Model
Questions
Taught by
International Centre for Theoretical Sciences
Related Courses
Introduction to Probability, Statistics, and Random ProcessesUniversity of Massachusetts Amherst via Independent Bayesian Statistics
Duke University via Coursera Bayesian Statistics: From Concept to Data Analysis
University of California, Santa Cruz via Coursera Improving your statistical inferences
Eindhoven University of Technology via Coursera Bayesian Statistics: Techniques and Models
University of California, Santa Cruz via Coursera