Epiverse Epidemiological Data Science Training for Africa
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Overview
Welcome to this course on Epidemiological Data Science Training for Africa. This is the course landing page–please bookmark it in your favorite browser to easily retrieve it.
- Course Outline (English / Français)
- Training Timetable
Introduction to R
- Intro R course website
- Interactive R tutorials (English / Français / Español / Português)
- Epidemiologist R Handbook
- Applied Epi Community
Epidemic and Mathematical Theory
- Introduction to Epidemic Theory (English / Français)
- General Epidemiology Applied to Infectious (English / Français)
- Introduction to Statistics and Probability (English / Français)
- Parameters (English / Français)
- Building a Deterministic Model (English / Français)
Course Providers
Introduction to R course is led by Applied Epi
Epidemic and Mathematical Theory course is led by Universidad Javeriana
Reading and Cleaning Data for Outbreak Analytics with R
(English / Français)
- Read case data
- Clean and validate
- Aggregate and visualize
Real-time Analysis and Forecasting for Outbreak Analytics with R
(English / Français)
- Access epidemiological delay distributions
- Quantify transmissions
- Use delay distribution analysis
- Create a short-term forecast
- Estimation of outbreak severity
- Account for superspreading
Scenario Modelling for Outbreak Analytics with R
(English / Français)
- Simulate transmission chains
- Simulating transmission
- Choosing an appropriate model
- Modelling interventions
- Comparing public health outcomes of interventions
Course Providers
Real-time Analysis and Forecasting for Outbreak Analytics with R and Real-time Analysis and Forecasting for Outbreak Analytics with R courses are led by MRCG at LSHTM