Data science for infectious disease data analytics : an introduction with R. / Lily Wang.

Format:

Book

Author/Creator:

Wang, Lily (Professor of Statistics), author.

Series:

Chapman & Hall/CRC data science series.

Chapman and Hall/CRC data science series

Language:

English

Subjects (All):

Epidemiology--Statistical methods.

Epidemiology.

R (Computer program language).

Physical Description:

1 online resource (420 pages)

Place of Publication:

Boca Raton, Florida ; London ; New York : CRC Press, [2023]

Summary:

"Data Science for Infectious Disease Data Analytics: An Introduction with R provides an overview of modern data science tools and methods that have been developed specifically to analyze infectious disease data. With a quick start guide to epidemiological data visualization and analysis in R, this book spans the gulf between academia and practices providing many lively, instructive data analysis examples using the most up-to-date data, such as the newly discovered coronavirus disease (COVID-19). The primary emphasis of this book will be the data science procedure in epidemiological studies, including data wrangling, visualization, interpretation, predictive modeling, and inference, which is of immense importance due to increasingly diverse and nonexperimental data across a wide range of fields. The knowledge and skills readers gain from this book are also transferable to other areas, such as public health, business analytics, environmental studies, or spatio-temporal data visualization and analysis in general. Aimed at readers with an undergraduate knowledge of mathematics and statistics, this book is an ideal introduction to the development and implementation of data science in epidemiology"-- Provided by publisher.

Contents:

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.

Notes:

Includes bibliographical references and index.

Description based on print version record.

Other Format:

Print version: Wang, Lily Data Science for Infectious Disease Data Analytics

ISBN:

1-00-325632-5

1-003-25632-5

1-000-64306-9

9781003256328

OCLC:

1349718992