Supplementary Material of IDDA
Preface
- About the Author
1 Introduction
2 Data Wrangling
3 Data Visualization with “ggplot2”
4 Interactive Visualization
5 R Shiny
6 Interactive Geospatial Visualization
7 Epidemic Modeling
8 Compartment Models
9 Time Series Analysis of Infectious Disease Data
10 Regression Methods
11 Neural Networks
12 Hybrid Models
Appendix
A Appendix A
References
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Supplementary Material of Statistical Learning of Infectious Disease Data Analytics

Chapter 7 Epidemic Modeling

Mathematical and statistical perspectives on epidemic modeling.

Figure 7.1: Mathematical and statistical perspectives on epidemic modeling.

An illustration of SIR and SEIR models.

Figure 7.2: An illustration of SIR and SEIR models.