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Mathematical Analysis for Transmission of COVID-19 [electronic resource] / edited by Nita H. Shah, Mandeep Mittal.

Contributor(s): Shah, Nita H [editor.] | Mittal, Mandeep [editor.] | SpringerLink (Online service).
Material type: materialTypeLabelBookSeries: Mathematical Engineering: Publisher: Singapore : Springer Nature Singapore : Imprint: Springer, 2021Edition: 1st ed. 2021.Description: VIII, 361 p. 183 illus., 179 illus. in color. online resource.Content type: text Media type: computer Carrier type: online resourceISBN: 9789813362642.Subject(s): Engineering mathematics | Engineering—Data processing | Statistics  | Mathematical and Computational Engineering Applications | Applied StatisticsAdditional physical formats: Printed edition:: No title; Printed edition:: No title; Printed edition:: No titleDDC classification: 620 Online resources: Click here to access online
Contents:
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.
In: Springer Nature eBookSummary: 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. .
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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.

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. .

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