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020 _a9789813362642
_9978-981-33-6264-2
024 7 _a10.1007/978-981-33-6264-2
_2doi
050 4 _aTA329-348
050 4 _aTA345-345.5
072 7 _aTBJ
_2bicssc
072 7 _aTEC009000
_2bisacsh
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082 0 4 _a620
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245 1 0 _aMathematical Analysis for Transmission of COVID-19
_h[electronic resource] /
_cedited by Nita H. Shah, Mandeep Mittal.
250 _a1st ed. 2021.
264 1 _aSingapore :
_bSpringer Nature Singapore :
_bImprint: Springer,
_c2021.
300 _aVIII, 361 p. 183 illus., 179 illus. in color.
_bonline resource.
336 _atext
_btxt
_2rdacontent
337 _acomputer
_bc
_2rdamedia
338 _aonline resource
_bcr
_2rdacarrier
347 _atext file
_bPDF
_2rda
490 1 _aMathematical Engineering,
_x2192-4740
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 _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. .
650 0 _aEngineering mathematics.
_93254
650 0 _aEngineering—Data processing.
_931556
650 0 _aStatistics .
_931616
650 1 4 _aMathematical and Computational Engineering Applications.
_931559
650 2 4 _aApplied Statistics.
_945885
700 1 _aShah, Nita H.
_eeditor.
_4edt
_4http://id.loc.gov/vocabulary/relators/edt
_913090
700 1 _aMittal, Mandeep.
_eeditor.
_4edt
_4http://id.loc.gov/vocabulary/relators/edt
_947077
710 2 _aSpringerLink (Online service)
_947078
773 0 _tSpringer Nature eBook
776 0 8 _iPrinted edition:
_z9789813362635
776 0 8 _iPrinted edition:
_z9789813362659
776 0 8 _iPrinted edition:
_z9789813362666
830 0 _aMathematical Engineering,
_x2192-4740
_947079
856 4 0 _uhttps://doi.org/10.1007/978-981-33-6264-2
912 _aZDB-2-ENG
912 _aZDB-2-SXE
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999 _c77973
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