LEADER 11054nam 2200565 450 001 996466401503316 005 20230427110344.0 010 $a981-16-2450-X 035 $a(CKB)4100000012037951 035 $a(MiAaPQ)EBC6737966 035 $a(Au-PeEL)EBL6737966 035 $a(OCoLC)1272990919 035 $a(PPN)258054565 035 $a(EXLCZ)994100000012037951 100 $a20220627d2021 uy 0 101 0 $aeng 135 $aurcnu|||||||| 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 00$aAnalysis of infectious disease problems (Covid-19) and their global impact /$fPraveen Agarwal [and three others], editors 210 1$aGateway East, Singapore :$cSpringer,$d[2021] 210 4$d©2021 215 $a1 online resource (635 pages) 225 1 $aInfosys Science Foundation series in mathematical sciences 311 $a981-16-2449-6 320 $aIncludes bibliographical references. 327 $aIntro -- Preface -- Acknowledgements -- Contents -- About the Editors -- General Analysis -- Continued and Serious Lockdown Could Have Minimized Many Newly Transmitted Cases of Covid-19 in the U.S.: Wavelets, Deterministic Models, and Data -- 1 Introduction -- 2 Methods, Models and Data -- 3 Data -- 4 Results -- 5 Concluding Remarks -- References -- Dynamical Analysis of a Caputo Fractional Order SIR Epidemic Model with a General Treatment Function -- 1 Introduction -- 2 Mathematical Model and Preliminaries -- 3 Preliminaries -- 4 The Well-Posedness of the Model and Equilibria -- 4.1 Existence of Endemic Equilibrium -- 5 Local Stability Analysis -- 6 Global Stability Analysis -- 6.1 Infection-Free Equilibrium -- 6.2 Endemic Equilibrium -- 7 Numerical Simulations -- 8 Concluding Remarks -- References -- Protective Face Shield Effectiveness: Mathematical Modelling -- 1 Introduction -- 2 Practical Application of Face Shields -- 3 Mathematical Modelling -- 3.1 Euler Form of Equations -- 3.2 Lagrangian Form of Equations -- 3.3 Model Description -- 3.4 Numerical Methods -- 3.5 Computer Simulation -- 4 Full-Scale Experiment -- 5 Conclusion -- References -- On the Evolution Equation for Modelling the Covid-19 Pandemic -- 1 Introduction -- 2 The Evolution Equation -- 2.1 The Classical Kolmogorov-Feller Equation -- 2.2 The Generalised Kolmogorov-Feller Equation -- 2.3 Orthonormal Memory Functions -- 2.4 Time Series Models -- 2.5 Logarithmic Scale Analysis -- 3 Random Walk Fields -- 4 Self-Affine Random Walk Fields -- 4.1 Solution for Eq. (7) -- 4.2 Solution for Eq. (8) -- 4.3 Random Walk Analysis -- 4.4 Example Results -- 5 The Bio-Dynamics Hypothesis -- 5.1 Self-affine Structures of a Virus -- 5.2 A Parametric Self-affine Model -- 5.3 Discussion -- 6 Summary, Conclusions and Future Research -- 6.1 Summary -- 6.2 Conclusions -- 6.3 Future Research. 327 $aReferences -- Modelling the Dynamics of Fake News Spreading Transmission During Covid-19 Through Social Media -- 1 Introduction -- 2 Methodology/Proposal -- 2.1 SIR Model for Fake News Transmission -- 2.2 Fake News Transmission Rate Through Different Social Media Platforms -- 2.3 Fake News Transmission Rate Among Users of Different Age Groups -- 2.4 Fake News Transmission Rate Among Users of Facebook from Different Countries -- 3 Results, Interpretation and Discussion -- 4 Conclusion -- References -- Generalized Logistic Equations in Covid-Related Epidemic Models -- 1 Introduction -- 2 Logistic Coefficients Models -- 2.1 Computable Examples -- 3 Carrying Capacity Periodically Variable -- 3.1 Existence of Periodic Solution -- 3.2 Cosinusoidal Carrying Capacity -- 4 Periodic Harvesting -- 4.1 Global Features of the Solution -- 4.2 Closed-Form Integration and Examples -- 4.3 A Sample Problem -- References -- A Transition of Shared Mobility in Metro Cities-A Challenge Post-Lockdown Covid-19 -- 1 Introduction -- 2 BPR Model -- 3 Data Analysis & -- Implementation -- 3.1 Data Description -- 3.2 Model Application & -- Results -- 3.3 Prediction of Traffic Scenarios Post-Lockdown -- 4 India's Transport Growth Journey and Its Effect on Energy and Environment -- 4.1 Transport and Environment -- 4.2 Health and Social Issues -- 4.3 Personal Vehicles and Their Impact -- 4.4 Measures to Curb the Traffic Upsurge -- References -- Analysis of Covid-19 Virus Spreading Statistics by the Use of a New Modified Weibull Distribution -- 1 Introduction and Preliminaries -- 1.1 The New Model NMWB Distribution -- 1.2 The Reliability Function -- 1.3 Moments of the Distribution -- 1.4 Order Statistics -- 1.5 Parameter Estimation -- 1.6 Relationship with Weibull-Related Results -- 2 Main Results -- 2.1 Statistical Properties -- 2.2 Least Square Estimates (LSES). 327 $a2.3 Order Statistics -- 2.4 Parameter Estimation -- 3 Applications -- 4 Conclusion -- References -- Lifting Lockdown Control Measure Assessment: From Finite-to Infinite-Dimensional Epidemic Models for Covid-19 -- 1 Introduction -- 2 Data Collection -- 3 Basic Covid-19 Model -- 3.1 Reproduction Numbers -- 3.2 Parameter and Initial Data Estimation -- 4 Discrete Age-Structured Covid-19 Model -- 4.1 Reproduction Numbers -- 4.2 Parameter and Initial Data Estimation -- 5 Covid-19 Model with Constant Delay -- 5.1 Reproduction Numbers -- 5.2 Parameter and Initial Data Estimation -- 6 Covid-19 Model with Threshold-Type Delay -- 7 Models with Demographic Effects -- 7.1 Covid-19 Model with Constant Delay -- 7.2 Covid-19 Model with Threshold-Type Delay -- 8 Discussion -- References -- Introduction to the Grey Systems Theory and Its Application in Mathematical Modeling and Pandemic Prediction of Covid-19 -- 1 A Brief Introduction to the Grey Systems Theory -- 2 Description of the Traditional Linear and Nonlinear Univariate Grey Models GM(1, 1) and NGBM(1, 1) -- 2.1 Building the Traditional Grey Model GM(1, 1) -- 2.2 The Nonlinear Grey Bernoulli Model NGBM(1, 1) -- 3 Optimization of the Univariate Grey Models -- 3.1 Optimization of Hyper-parameters -- 3.2 Rolling Mechanism -- 3.3 Optimization of the Initial Condition -- 4 Applications of Univariate Grey Models in Predicting Total Covid-19 Infected Cases -- 5 Description of the Existing GM(1, N) and GMC(1, N) Models -- 5.1 The Traditional GM(1, N) Model -- 5.2 The Grey Model with Convolution Integral GMC(1, N) -- 5.3 Variations of the Current GMC(1, N) and GMC(1, N) Models -- 5.4 Representation of the Nonlinear Grey Model with Convolution Integral NGMC(1, N) -- 6 Grey System Models with Fractional Order Accumulation -- 6.1 Definition of the Fractional Order Accumulation -- 6.2 The Fractional GMpq(1, 1) Model. 327 $a6.3 The Fractional Multivariate Grey Model with Convolutional Integral GMC pq(1, N) -- 6.4 Optimization of the Fractional Order r -- 7 Introduction to the Grey Relational Analysis -- 7.1 Data Preprocessing -- 7.2 Grey Relational Coefficient and Grey Relational Grade -- 8 Applications of Grey Relational Analysis In medicine -- 8.1 General Applications of Grey Relational Analysis in Medical Data Analysis -- 8.2 Application in Telecare -- 8.3 Grey Data Management in Medicine -- References -- Mathematical Analysis of Diagnosis Rate Effects in Covid-19 Transmission Dynamics with Optimal Control -- 1 Introduction -- 2 Model Formulation -- 3 Mathematical Analysis -- 3.1 The Disease-Free Equilibrium and Control Reproduction Number -- 3.2 Global Stability of DFE -- 3.3 Existence and Local Stability of the Endemic Equilibrium -- 3.4 Sensitivity Analysis -- 3.5 Numerical Simulation -- 4 Optimal Control -- 4.1 Building the Optimal Control Problem -- 4.2 Characterization of the Optimal Control -- 4.3 Numerical Simulation of the Optimal Control Problem -- 5 Conclusion -- References -- Development of Epidemiological Modeling RD-Covid-19 of Coronavirus Infectious Disease and Its Numerical Simulation -- 1 Introduction -- 2 Infectious Disease Epidemiology Components -- 2.1 Timelines of Infection -- 2.2 Estimation of Transmission Probability -- 2.3 The SAR is a Proportion, Not a Rate -- 3 Estimation of Basic Reproduction Number/ Proliferation Number -- 3.1 Estimation of R0 -- 3.2 Virulence of R0 and the Case Fatality Ratio (CFR) -- 4 Incidence Rate as a Function of Prevalence and Contact Rate -- 5 Dynamic Epidemic Process in a Closed Population -- 6 RD-Covid-19 Epidemiological Model -- 7 Numerical Simulation of RD-Covid-19 Model -- 7.1 PART-1: Numerical Outcome of RD-Covid-19 Model Outcome for INDIA. 327 $a7.2 PART-2: Numerical Outcome of RD-Covid-19 Model Outcome for CHINA -- 7.3 PART-3: Numerical Outcome of RD-Covid-19 Model Outcome for BRAZIL -- 7.4 PART-4: Numerical Outcome of RD-Covid-19 Model Outcome for RUSSIA -- 8 Conclusions -- References -- Mediterranean Diet-A Healthy Dietary Pattern and Lifestyle for Strong Immunity -- 1 Introduction -- 2 Mediterranean Lifestyle -- 3 Benefits of Mediterranean Diet -- 4 Mediterranean Diet for a Healthy Gut -- 5 Conclusion -- References -- Rate-Induced Tipping Phenomena in Compartment Models of Epidemics -- 1 Introduction -- 1.1 Outline -- 2 Preliminaries -- 2.1 Compartment Models with Time-Dependent Parameters -- 2.2 Autonomous SIR Model -- 2.3 Autonomous SIRS Model -- 3 Linear Compartment Models -- 3.1 Artifacts of Rate-Induced Tipping -- 4 Nonlinear Compartment Models -- 4.1 Local Normal Form for a Bifurcation of Codimension Two -- 4.2 Idealized Models -- 5 Irreducible Rate-Induced Tipping in Non-autonomous Models -- 5.1 Artifacts of Rate-Induced Tipping -- 6 Conclusion -- References -- Analysis of Impact of Covid-19 Pandemic on Financial Markets -- 1 Introduction -- 2 Market Behaviour During Initial and Intermediate Pandemic Phases -- 2.1 Covid-19 Market Crash (2020/02/19-2020/03/19) -- 2.2 Market Recovery After Covid-19 Crash (2020/03/20 - 2020/03/26) -- 2.3 Pandemic Growth After 2020/03/18 -- 3 Framework for Modelling Pandemic Impact -- 3.1 Susceptible, Infected, Recovered and Death (SIRD) Model with Time-Dependent Parameters and Social Distancing -- 3.2 Calibration Algorithm -- 3.3 Phenomenological Pandemic Model (PPM) -- 3.4 The Process N(t) in an Intermediate Phase -- 3.5 Approximation to PPM -- 3.6 Calibration of PPM -- 3.7 Mapping Epidemic Variables to Financial Risk Factors -- 4 Simulation of Stress Scenarios -- 4.1 Simulation of Risk Drivers Under the SIRD Model -- 4.2 PPM Simulation. 327 $a5 Conclusion. 410 0$aInfosys Science Foundation series. 606 $aCOVID-19$2thub 606 $aModels matemàtics$2thub 606 $aCOVID-19 (Disease)$xMathematical models 608 $aLlibres electrònics$2thub 615 7$aCOVID-19 615 7$aModels matemàtics 615 0$aCOVID-19 (Disease)$xMathematical models. 676 $a616.241400285 702 $aAgarwal$b Praveen 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a996466401503316 996 $aAnalysis of infectious disease problems (Covid-19) and their global impact$92890500 997 $aUNISA LEADER 03652oam 2200745I 450 001 9910790581003321 005 20230803220052.0 010 $a1-135-12707-7 010 $a0-415-85918-2 010 $a0-203-79874-0 010 $a1-135-12700-X 024 7 $a10.4324/9780203798744 035 $a(CKB)2550000001110626 035 $a(EBL)1344634 035 $a(OCoLC)855970213 035 $a(SSID)ssj0000954557 035 $a(PQKBManifestationID)12440429 035 $a(PQKBTitleCode)TC0000954557 035 $a(PQKBWorkID)10944363 035 $a(PQKB)10157594 035 $a(OCoLC)859159504 035 $a(MiAaPQ)EBC1344634 035 $a(Au-PeEL)EBL1344634 035 $a(CaPaEBR)ebr10747238 035 $a(CaONFJC)MIL510557 035 $a(OCoLC)1053522800 035 $a(FINmELB)ELB134316 035 $a(EXLCZ)992550000001110626 100 $a20180706d2014 uy 0 101 0 $aeng 135 $aur|n|---||||| 181 $ctxt 182 $cc 183 $acr 200 10$aMy father's wars $emigration, memory, and the violence of a century /$fAlisse Waterston 210 1$aNew York :$cRoutledge,$d2014. 215 $a1 online resource (211 p.) 225 0 $aInnovative ethnographies 300 $aDescription based upon print version of record. 311 $a0-415-85917-4 311 $a1-299-79306-1 320 $aIncludes bibliographical references and index. 327 $aCover; My Father's Wars; Title Page ; Copyright Page ; Dedication; Table of Contents ; Acknowledgments; Prologue; Chapter 1; The Shtetl Jedwabne; Sunrise, Sunset; Chapter 2; Aftermaths; Delicate Memories; Chapter 3; The Voyage Out; Routes; Chapter 4; The Shopkeepers; Return; Chapter 5; Young Man in Havana; The Power of Privilege; Chapter 6; An American Soldier; The Lost Ones; Chapter 7; In Love and War; Postwar; Chapter 8; American Dreams/Dreaming in Cuban; Habitus; Chapter 9; Dictators; The Ends of Empires; Chapter 10; Cigarettes, Babies, and Change; Possession and Dispossession; Chapter 11 327 $aThings Fall ApartThe Sacred and the Secular; Chapter 12; Te Amamos Siempre, Paisano; The Story of My Story; Epilogue; Notes; References; Index 330 $a"My father was born into war," begins this remarkable saga in Alisse Waterston's intimate ethnography, a story that is also twentieth century social history. This is an anthropologist's vivid account of her father's journey across continents, countries, cultures, languages, generations--and wars. It is a daughter's moving portrait of a charming, funny, wounded and difficult man, his relationships with those he loved, and his most sacred of beliefs. And it is a scholar's reflection on the dramatic forces of history, the legacies of culture, the experience of a Jewish immigrant, and the enduring power of memory. This book is for Sociology and Anthropology courses in qualitative methods, ethnography, violence, migration, and ethnicity"--$cProvided by publisher. 410 0$aInnovative ethnographies. 606 $aJews, Polish$zUnited States$vBiography 606 $aJews, Polish$zCuba$vBiography 606 $aJews$zCuba$vBiography 606 $aJews$zUnited States$vBiography 607 $aJedwabne (Poland)$vBiography 615 0$aJews, Polish 615 0$aJews, Polish 615 0$aJews 615 0$aJews 676 $a943.8/3604092 686 $aSOC002010$aSOC026000$2bisacsh 700 $aWaterston$b Alisse$f1951-,$0940543 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910790581003321 996 $aMy father's wars$93786538 997 $aUNINA LEADER 01949nam 22005535u 450 001 9910158681903321 005 20211006145358.0 010 $a9783318039993 010 $a3318039993 035 $a(CKB)3780000000102185 035 $a(OCoLC)1046108919 035 $a(SZ-BaSKA)219799 035 $a(MiAaPQ)EBC31866947 035 $a(Au-PeEL)EBL31866947 035 $a(EXLCZ)993780000000102185 100 $a20211006d1975 uy 0 101 0 $aeng 135 $aurunu||||| 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aThe HLA System : $eAn Introductory Survey / $f A. Svejgaard, C. Jersild, P. Platz, L.P. Ryder, L. Staub Nielsen, M. Thomsen, M. Hauge 205 $a2nd, revised edition. 210 $aBasel : $cS. 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