Mathematical Models of Infectious Diseases and Social Issues

Mathematical Models of Infectious Diseases and Social Issues

Nita H. Shah (Department of Mathematics, Gujarat University, Ahmedabad, India) and Mandeep Mittal (Department of Mathematics, Amity Institute of Applied Sciences, Amity University, Noida, India)
Release Date: June, 2020|Copyright: © 2020 |Pages: 316
ISBN13: 9781799837411|ISBN10: 1799837416|EISBN13: 9781799837428|DOI: 10.4018/978-1-7998-3741-1


When deadly illness spreads through a population at a rapid pace, time may be of the essence in order to save lives. Using mathematics as a language to interpret assumptions concerning the biological and population mechanics, one can make predictions by analyzing actual epidemiological data using mathematical tests and results. Mathematical models can help us understand the right disease status and predict the effects of the disease on populations, which can help limit the spread and devastation of the illness.

Mathematical Models of Infectious Diseases and Social Issues is a collection of innovative research that examines the dynamics of diseases and their effect on populations. Featuring coverage of a broad range of topics including deterministic models, environmental pollution, and social issues, this book is ideally designed for diagnosticians, clinicians, healthcare providers, pharmacists, government health officials, policymakers, academicians, researchers, and students.

Topics Covered

The many academic areas covered in this publication include, but are not limited to:

  • Air Pollution
  • Co-Infections
  • Deterministic Models
  • Disease Dynamics
  • Disease Prediction
  • Environmental Pollution
  • Population Mechanics
  • Social Issues
  • Vector-Borne Diseases
  • Water-Borne Diseases

Table of Contents and List of Contributors

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