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001435592 001__ 1435592
001435592 003__ OCoLC
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001435592 019__ $$a1244805804
001435592 020__ $$a9789813362642$$q(electronic bk.)
001435592 020__ $$a9813362642$$q(electronic bk.)
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001435592 0247_ $$a10.1007/978-981-33-6264-2$$2doi
001435592 035__ $$aSP(OCoLC)1245662772
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001435592 049__ $$aISEA
001435592 050_4 $$aRA644.C67
001435592 08204 $$a614.5/92414$$223
001435592 24500 $$aMathematical analysis for transmission of COVID-19 /$$cNita H. Shah, Mandeep Mittal, editors.
001435592 260__ $$aSingapore :$$bSpringer,$$c2021.
001435592 300__ $$a1 online resource (366 pages)
001435592 336__ $$atext$$btxt$$2rdacontent
001435592 337__ $$acomputer$$bc$$2rdamedia
001435592 338__ $$aonline resource$$bcr$$2rdacarrier
001435592 4901_ $$aMathematical engineering
001435592 500__ $$aMathematical Analysis of the Conceptual Model.
001435592 5050_ $$aIntro -- Contents -- About the Editors -- 1 Introduction to Compartmental Models in Epidemiology -- Introduction -- Simple Epidemic Models -- What Is Equilibrium Point and Its Existence? -- How to Compute Threshold or Basic Reproduction Number? -- How to Characterize Nature of Stability? -- What Is Bifurcation and What It Reflects? -- How to Optimize the Issue? -- Inside This Book -- References -- 2 Modelling the Impact of Nationwide BCG Vaccine Recommendations on COVID-19 Transmission, Severity and Mortality -- Introduction -- Mathematical Model -- Basic Reproduction Number
001435592 5058_ $$aLocal Stability Analysis -- Sensitivity Analysis -- Numerical Simulation -- Conclusion -- References -- 3 Modeling the Spread of COVID-19 Among Doctors from the Asymptomatic Individuals -- Introduction -- Mathematical Model -- Analysis of the Compartmental Model -- Positivity Analysis -- Equilibrium Points -- Basic Reproduction Ratio -- Stability Analysis at DFE (Edfe) -- Stability Analysis at EE (Eee) -- Results and Discussion -- Conclusions -- References -- 4 Transmission Dynamics of Covid-19 from Environment with Red Zone, Orange Zone, Green Zone Using Mathematical Modelling -- Introduction
001435592 5058_ $$aNotations -- Mathematical Model -- Spectral Radius Ro -- Stability Analysis -- Local Stability -- Optimal Control Problem -- Numerical Simulation -- Conclusion -- References -- 5 A Comparative Study of COVID-19 Pandemic in Rajasthan, India -- Introduction -- Mathematical Modelling of COVID-19 -- Numerical Analysis -- Conclusion -- Annexure 1 -- Annexure 2 -- Annexure 3 -- Annexure 4 -- References -- 6 A Mathematical Model for COVID-19 in Italy with Possible Control Strategies -- Introduction -- The Mathematical Model -- Basic Properties -- Non-negativity of the Solution
001435592 5058_ $$aBoundedness of the Solution -- Disease Free Equilibrium and Basic Reproduction Number -- Existence of Endemic Equilibrium -- Backward Bifurcation -- Stability Analysis -- Local Stability of Disease Free Equilibrium -- Global Stability of Disease Free Equilibrium -- Local Stability of Endemic Equilibrium -- Numerical Simulation and Model Fitting -- Game Changers -- Impact of Early Lock Down -- Impact of Rapid Isolation on Infected Individuals -- Conclusion -- References -- 7 Effective Lockdown and Plasma Therapy for COVID-19 -- Introduction -- Formulation of Mathematical Model
001435592 5058_ $$aEquilibrium Solutions -- Basic Reproduction Number -- Stability Analysis -- Optimal Control -- Numerical Simulation -- Conclusion -- References -- 8 Controlling the Transmission of COVID-19 Infection in Indian Districts: A Compartmental Modelling Approach -- Introduction -- Model Development -- Positivity and Boundedness of the Solution -- Basic Reproduction Number and Equilibrium Point -- Optimal Control Theory -- Numerical Simulation -- Conclusion -- References -- 9 Fractional SEIR Model for Modelling the Spread of COVID-19 in Namibia -- Introduction -- Conceptual Model
001435592 506__ $$aAccess limited to authorized users.
001435592 520__ $$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.
001435592 588__ $$aDescription based on print version record.
001435592 650_0 $$aCOVID-19 (Disease)$$xEpidemiology$$xMathematical models.
001435592 650_6 $$aCOVID-19$$xÉpidémiologie$$xModèles mathématiques.
001435592 655_0 $$aElectronic books.
001435592 7001_ $$aShah, Nita H.
001435592 7001_ $$aMittal, Mandeep.
001435592 77608 $$iPrint version:$$aShah, Nita H.$$tMathematical Analysis for Transmission of COVID-19.$$dSingapore : Springer Singapore Pte. Limited, ©2021$$z9789813362635
001435592 830_0 $$aMathematical engineering.
001435592 852__ $$bebk
001435592 85640 $$3Springer Nature$$uhttps://univsouthin.idm.oclc.org/login?url=https://link.springer.com/10.1007/978-981-33-6264-2$$zOnline Access$$91397441.1
001435592 909CO $$ooai:library.usi.edu:1435592$$pGLOBAL_SET
001435592 980__ $$aBIB
001435592 980__ $$aEBOOK
001435592 982__ $$aEbook
001435592 983__ $$aOnline
001435592 994__ $$a92$$bISE