• A Minimal Book Example
  • Epibible
  • Preface
  • About the Author
  • 1 Introduction to Epidemiology
  • 2 Working with this book
    • 2.1 What is bookdown?
    • 2.2 What is Markdown
    • 2.3 Code snippets
    • 2.4 Other formats in this book
  • 3 Getting Started with R
    • 3.1 Installing R and Rstudio
    • 3.2 Starting to code
  • 4 R fundamentals
    • 4.1 R syntax
    • 4.2 Troubleshooting
    • 4.3 Data structures
    • 4.4 writing scripts
  • 5 Tidyverse
    • 5.1 Wide and tidy data
    • 5.2 Data wrangling using dplyr
    • 5.3 Data visualization using ggplot
  • 6 Working with epidemiological data
    • 6.1 Acessing data
    • 6.2 (Imperfect) epidemiological data
    • 6.3 Case Study 1: Yellow Fever
  • 7 Modelling
    • 7.1 Compartmental models
      • 7.1.1 SIR model in theory
      • 7.1.2 SIR model in R
    • 7.2 Time series - Forecasting
    • 7.3 Using and applying models
  • 8 Communication and sharing of code and data
    • 8.1 Writing code: best practices
    • 8.2 Github
    • 8.3 Reports using Markdown
    • 8.4 Open science
    • 8.5 Communities and forums
    • 8.6 How to use Chat-GPT
  • 9 Recommended Reading
    • 9.1 Recommended textbooks and courses
    • 9.2 Datasources
    • 9.3 Useful packages
  • References
  • Published with bookdown

Epibible

Chapter 9 Recommended Reading

9.1 Recommended textbooks and courses

9.2 Datasources

9.3 Useful packages