by Nita H. Shah and Mandeep Mittal
| Publisher | Springer Nature |
| Language | English |
| Book type | Hardcover |
| Utgiven | 2021-03-16 |
| Edition | 1 |
| Pages | 200 |
| ISBN | 9789813362635 |
| Kategori(er) |
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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