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Title: Mathematical analysis of infectious diseases
Author: Agarwal, Praveen
Nieto, Juan J.
Torres, Delfim F. M.
Keywords: Analytical and numerical techniques for virus models
Mathematical modeling and its applications in treating infectious diseases and analyzing their spreading rates
Application of differential equations for analyzing disease problems
Probability distribution and bio-mathematical applications
Issue Date: 2022
Publisher: Academic Press, Elsevier
Abstract: Mathematical Analysis of Infectious Diseases updates on the mathematical and epidemiological analysis of infectious diseases. Epidemic mathematical modeling and analysis is important, not only to understand disease progression, but also to provide predictions about the evolution of disease. One of the main focuses of the book is the transmission dynamics of the infectious diseases like COVID-19 and the intervention strategies. It also discusses optimal control strategies like vaccination and plasma transfusion and their potential effectiveness on infections using compartmental and mathematical models in epidemiology like SI, SIR, SICA, and SEIR. The book also covers topics like: biodynamic hypothesis and its application for the mathematical modeling of biological growth and the analysis of infectious diseases, mathematical modeling and analysis of diagnosis rate effects and prediction of viruses, data-driven graphical analysis of epidemic trends, dynamic simulation and scenario analysis of the spread of diseases, and the systematic review of the mathematical modeling of infectious disease like coronaviruses.
DOI: 10.1016/C2020-0-03443-2
ISBN: 978-0-323-90504-6
Publisher Version:
Appears in Collections:CIDMA - Livro
DMat - Livro
SCG - Livro

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