Health Metrics and the Spread of Infectious Diseases Machine Learning Applications and Spatial Modelling Analysis with R Book Club
Welcome
- Book club meetings
- Pace
1 Introduction
Health Metrics
2 Introduction to Health Metrics
- SLIDE 1
- Meeting Videos
  - Cohort 1
3 Methods and Calculations
4 Metrics Components
5 Causes and Risks
Machine Learning
6 Introduction to Machine Learning
- SLIDE 1
- Meeting Videos
  - Cohort 1
7 Techniques for Machine Learning Applications
- SLIDE 1
- Meeting Videos
  - Cohort 1
8 Essential R Packages for Machine Learning
- SLIDE 1
- Meeting Videos
  - Cohort 1
9 Predictive Modelling and Beyond
- SLIDE 1
- Meeting Videos
  - Cohort 1
Data Visualisation
10 Introduction to Data Visualisation
- SLIDE 1
- Meeting Videos
  - Cohort 1
11 Interpreting Model Results Through Visualisation
- SLIDE 1
- Meeting Videos
  - Cohort 1
12 Spatial Data Modelling and Visualisation
- SLIDE 1
- Meeting Videos
  - Cohort 1
13 Advanced Data Visualisation Techniques
- SLIDE 1
- Meeting Videos
  - Cohort 1
Infectious Diseases
14 Introduction to Infectious Diseases
- SLIDE 1
- Meeting Videos
  - Cohort 1
15 COVID-19 Outbreaks
- SLIDE 1
- Meeting Videos
  - Cohort 1
16 The Case of Malaria
- SLIDE 1
- Meeting Videos
  - Cohort 1
17 Summary: The State of Health
- SLIDE 1
- Meeting Videos
  - Cohort 1
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Health Metrics and the Spread of Infectious Diseases Book Club

Chapter 3 Methods and Calculations

Learning objectives:

To be able to calculate:
- YLL (Years of Life Lost) and
- YDD (Years lived with disability)