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001 | 978-981-33-6264-2 | ||
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_a9789813362642 _9978-981-33-6264-2 |
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024 | 7 |
_a10.1007/978-981-33-6264-2 _2doi |
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050 | 4 | _aTA329-348 | |
050 | 4 | _aTA345-345.5 | |
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_aTBJ _2bicssc |
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_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. |
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300 |
_aVIII, 361 p. 183 illus., 179 illus. in color. _bonline resource. |
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336 |
_atext _btxt _2rdacontent |
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337 |
_acomputer _bc _2rdamedia |
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338 |
_aonline resource _bcr _2rdacarrier |
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347 |
_atext file _bPDF _2rda |
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490 | 1 |
_aMathematical Engineering, _x2192-4740 |
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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 |
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650 | 0 |
_aEngineering—Data processing. _931556 |
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650 | 0 |
_aStatistics . _931616 |
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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 |
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700 | 1 |
_aMittal, Mandeep. _eeditor. _4edt _4http://id.loc.gov/vocabulary/relators/edt _947077 |
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710 | 2 |
_aSpringerLink (Online service) _947078 |
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773 | 0 | _tSpringer Nature eBook | |
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_iPrinted edition: _z9789813362635 |
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_iPrinted edition: _z9789813362659 |
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_iPrinted edition: _z9789813362666 |
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_aMathematical Engineering, _x2192-4740 _947079 |
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856 | 4 | 0 | _uhttps://doi.org/10.1007/978-981-33-6264-2 |
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