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020 _a9789813362642
024 7 _a10.1007/978-981-33-6264-2
_2doi
040 _aES-MaUEC
_bspa
_cES-MaUEC
_dES-MaUEC
050 4 _aRA644.C67
_b2021 EB
245 0 0 _aMathematical Analysis for Transmission of COVID-19
_cedited by Nita H. Shah, Mandeep Mittal
250 _aFirst edition 2021
264 1 _aSingapore
_bSpringer International Publishing
_c2021
300 _a1 recurso en línea (VIII, 361 páginas)
_b 183 ilustraciones, 179 ilustraciones a color
336 _2rdacontent
_aTexto
_btxt
337 _2rdamedia
_aelectrónico
_bc
338 _2rdacarrier
_arecurso electrónico
_bcr
347 _aarchivo de texto
_bPDF
490 0 _aMathematical Engineering
_x2192-4740
490 0 _aEngineering (SpringerNature-11647)
490 0 _aEngineering (R0) (SpringerNature-43712)
505 0 _aChapter 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.
520 3 _aThis 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. .
988 _aSpringer_Engineering_2021
650 7 _2embne
_aCOVID-19
_9683668
650 7 _2embne
_9670612
_aEpidemias
700 1 _aShah, Nita H.
_eeditor literario
_4http://id.loc.gov/vocabulary/relators/edt
_9681068
700 1 _aMittal, Mandeep
_eeditor literario
_4http://id.loc.gov/vocabulary/relators/edt
_9681069
_d1978-
776 0 8 _iPrinted edition:
_z9789813362635
776 0 8 _iPrinted edition:
_z9789813362659
776 0 8 _iPrinted edition:
_z9789813362666
856 4 0 _uhttps://go.openathens.net/redirector/universidadeuropea.es?url=https://doi.org/10.1007/978-981-33-6264-2
_zAcceso a este recurso digital (usuarios Universidad Europea de Madrid)
942 _2lcc
_cLE
998 _b01/2022
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