Mathematical Analysis for Transmission of COVID-19
Titre:
Mathematical Analysis for Transmission of COVID-19
ISBN (Numéro international normalisé des livres):
9789813362642
Edition:
1st ed. 2021.
PRODUCTION_INFO:
Singapore : Springer Nature Singapore : Imprint: Springer, 2021.
Description physique:
VIII, 361 p. 183 illus., 179 illus. in color. online resource.
Collections:
Mathematical Engineering,
Table des matières:
Chapter 1. Optimal Controls to Curtail the Spread of COVID-19 through Social Gatherings: A Mathematical Model -- Chapter 2. A Mathematical Model on COVID-19 Exposed to Quarantine using Z-Control -- Chapter 3. Mathematical Modelling on COVID-19 Transmission due to Religious Activities -- Chapter 4. COVID-19: Modelling and Analysis -- Chapter 5. A Study on impact of BCG-Vaccine on COVID-19 Transmission -- Chapter 6. Modelling and Analysis on COVID-19 Transmission using Machine Learning.
Extrait:
This book describes various mathematical models that can be used to better understand the spread of novel Coronavirus Disease 2019 (COVID-19) and help to fight against various challenges that have been developed due to COVID-19. The book presents a statistical analysis of the data related to the COVID-19 outbreak, especially the infection speed, death and fatality rates in major countries and some states of India like Gujarat, Maharashtra, Madhya Pradesh and Delhi. Each chapter with distinctive mathematical model also has numerical results to support the efficacy of these models. Each model described in this book provides its unique prediction policy to reduce the spread of COVID-19. This book is beneficial for practitioners, educators, researchers and policymakers handling the crisis of COVID-19 pandemic. .
Auteur collectif ajouté:
Accès électronique:
Full Text Available From Springer Nature Engineering 2021 Packages
Langue:
Anglais