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COVID-19 Pandemic Dynamics: Mathematical Simulations

COVID-19 Pandemic Dynamics: Mathematical Simulations

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ISBN

9789813364158

Authors

Publisher

Springer

Published Date

2021

Language

‎English

Page Count

1632

Size

8 MB

by Igor Nesteruk (Author) This book highlights the estimate of epidemic characteristics for different countries/regions in the world with the use of known SIR (susceptible-infected-removed) model for the dynamics of the epidemic, the known exact solution of the linear differential equations and statistical approach developed before. The COVID-19 pandemic is of great interest to researchers due to its high mortality and a negative impact to the world economy. Correct simulation of the pandemic dynamics needs complicated mathematical models and many efforts for unknown parameters identification. The simple method of detection of the new pandemic wave is proposed and SIR model generalized. The hidden periods, epidemic durations, final numbers of cases, the effective reproduction numbers and probabilities of meeting an infected person are presented for countries like USA, Germany, UK, the Republic of Korea, Italy, Spain, France, the Republic of Moldova, Ukraine, and for the world. The presented information is useful to regulate the quarantine activities and to predict the medical and economic consequences of different/future pandemics. Product Details Publisher:Springer; 1st ed. 2021 edition (February 11, 2021) Language:English Hardcover:184 pages ISBN-10:9813364157 ISBN-13:978-9813364158 ISBN-13:9789813364158 eText ISBN: 9789813364165 Item Weight:15.8 ounces Dimensions:6.14 x 0.5 x 9.21 inches

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