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Epiverse Epidemiological Data Science Training for Africa

Welcome to this course on Epidemiological Data Science Training for Africa…

  • Course outline
  • Course objectives
  • Training timetable
  • Pre-reads
  • Onboarding documents
  • Attendance sheet

Phase 1: Foundational Modules

Introduction to R

Course resources

Epidemic and Mathematical Theory

Course resources

  • Introduction to Epidemic Theory (EN/FR)
  • General Epidemiology (EN/FR)
  • Introduction to Statistics and Probability Using the epiparameter R Package (EN/FR)
  • Epidemiological Parameters Using the epiparameter R Package (EN/FR)
  • Building a Deterministic Model (EN/FR)

Course Providers

Applied Epi basic blue

Introduction to R course is led by Applied Epi

Javeriana_black

Epidemic and Mathematical Theory course is led by Universidad Javeriana

Phase 2: Epidemiological Data Science

Reading and Cleaning Data for Outbreak Analytics with R

Course resources

  • Read case data (EN/FR)
  • Clean and validate (EN/FR)
  • Aggregate and visualize (EN/FR)

Real-time Analysis and Forecasting for Outbreak Analytics with R

Course resources

  • Access epidemiological delay distributions (EN/FR)
  • Quantify transmissions (EN/FR)
  • Use delay distribution analysis (EN/FR)
  • Create a short-term forecast (EN/FR)
  • Estimation of outbreak severity (EN/FR)
  • Account for superspreading (EN/FR)

Scenario Modelling for Outbreak Analytics with R

Course resources

  • Simulate transmission chains (EN/FR)
  • Simulating transmission (EN/FR)
  • Choosing an appropriate model (EN/FR)
  • Modelling interventions (EN/FR)
  • Comparing public health outcomes of interventions (EN/FR)

Course Providers

mrc-gambia-logo

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