COVID-19 pandemic dynamics : mathematical simulations /

COVID-19 pandemic dynamics : mathematical simulations /

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Bibliographic Details
Author / Creator:Nesteruk, Igor, author.
Imprint:Singapore : Springer, [2021]
Description:1 online resource
Language:English
Subject:
COVID-19 Pandemic, 2020- -- Mathematical models.
COVID-19 Pandemic, 2020- -- Forecasting.
Forecasting.
Mathematical models.
Format: E-Resource Book
URL for this record:http://pi.lib.uchicago.edu/1001/cat/bib/12610621
Hidden Bibliographic Details
ISBN:9789813364165
9813364165
9813364157
9789813364158
Digital file characteristics:text file PDF
Notes:Online resource; title from PDF title page (SpringerLink, viewed March 16, 2021).
Summary: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. .
Other form:Print version: 9813364157 9789813364158
Standard no.:10.1007/978-981-33-6416-5

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