Book Image

Practical Data Analysis - Second Edition

By : Hector Cuesta, Dr. Sampath Kumar
Book Image

Practical Data Analysis - Second Edition

By: Hector Cuesta, Dr. Sampath Kumar

Overview of this book

Beyond buzzwords like Big Data or Data Science, there are a great opportunities to innovate in many businesses using data analysis to get data-driven products. Data analysis involves asking many questions about data in order to discover insights and generate value for a product or a service. This book explains the basic data algorithms without the theoretical jargon, and you’ll get hands-on turning data into insights using machine learning techniques. We will perform data-driven innovation processing for several types of data such as text, Images, social network graphs, documents, and time series, showing you how to implement large data processing with MongoDB and Apache Spark.
Table of Contents (21 chapters)
Practical Data Analysis - Second Edition
Credits
About the Authors
About the Reviewers
www.PacktPub.com
Preface

The epidemic models


When we want to describe how a pathogen or a disease is spread within a population, we need to create a model using mathematical, statistical, or computational tools. The most common model used in epidemiology is the SIR (Susceptible, Infected, and Recovered) model, which was formulated by McKendrick and Kermack in their paper A Contribution to the Mathematical Theory of Epidemics, published in 1927.

In the models presented in this chapter, we assume a closed population (without births or deaths) and that the demographics and socio-economic variables do not affect the spread of the disease.

The SIR model

The SIR epidemiological model describes the course of an infectious disease, as we can see in the following diagram. Starting with a susceptible population (S) that comes into contact with an infected population (I), the individual remains infected, and once the infection period has passed, the individual is then in the recovered state (R).

In this chapter, we will use...