Description
Taylor and Francis Ltd Data Science for Infectious Disease Data Analytics 1st Edition 2022 Softbound by Wang, Lily
1 Introduction 2 Data Wrangling 3 Data Visualization with R Package "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