An Exploratory Analysis and Predictive SIR Model for the Early Onset of COVID-19 in Tamil Nadu, India

View Sample PDF

Author(s): Chandan Tanvi Mandapati (Lovely Professional University, India)
Copyright: 2021
Pages: 22
Source title: Machine Learning and Data Analytics for Predicting, Managing, and Monitoring Disease
Source Author(s)/Editor(s): Manikant Roy (Lovely Professional University, India)and Lovi Raj Gupta (Lovely Professional University, India)
DOI: 10.4018/978-1-7998-7188-0.ch002

Keywords: Knowledge Management and Library Science / Machine Learning / Medical Information Science Reference / Medical Technologies

Purchase

View An Exploratory Analysis and Predictive SIR Model for the Early Onset of COVID-19 in Tamil Nadu, India on the publisher's website for pricing and purchasing information.

Abstract

The growth of COVID-19 (SARS-CoV-2) in India has been rampant. Despite having a relatively small value of R0, the spread of disease increases exponentially every consecutive day. This chapter aims to analyze and conduct a concise study for the southern state of Tamil Nadu in India and build non-linear predictive models that evaluate the transmission of coronavirus amongst locals. A logistic regression and SIR model are deployed to understand the potential spread of disease. Through descriptive analysis on theoretical segmented portions, districts in Tamil Nadu with a higher number of confirmed cases are identified. Computation of crude mortality rate, infection fatality rate, predictive models, illustrations, and their results are discussed analytically.

The IRMA Community

Research IRM

An Exploratory Analysis and Predictive SIR Model for the Early Onset of COVID-19 in Tamil Nadu, India

Purchase

Abstract

Related Content

IRMA Sponsors