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COVID-19 Epidemiology and Virus Dynamics : Nonlinear Physics and Mathematical Modeling / / by Till D. Frank
| COVID-19 Epidemiology and Virus Dynamics : Nonlinear Physics and Mathematical Modeling / / by Till D. Frank |
| Autore | Frank Till Daniel |
| Edizione | [1st ed. 2022.] |
| Pubbl/distr/stampa | Cham : , : Springer International Publishing : , : Imprint : Springer, , 2022 |
| Descrizione fisica | 1 online resource (367 pages) |
| Disciplina |
614.592414
614.4015118 |
| Collana | Understanding Complex Systems |
| Soggetto topico |
System theory
Epidemiology Mathematical physics Dynamics Nonlinear theories Public health Complex Systems Mathematical Methods in Physics Applied Dynamical Systems Public Health |
| ISBN |
9783030971786
9783030971779 |
| Formato | Materiale a stampa  |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Chapter 1. Introduction -- Chapter 2. Nonlinear physics and synergetics -- Chapter 3. Epidemiological models and COVID-19 epidemics -- Chapter 4. Nonlinear physics of epidemics: part A -- Chapter 5. Nonlinear physics of epidemics: part B -- Chapter 6. Nonlinear physics of epidemics: part C -- Chapter 7. Model-based reproduction numbers -- Chapter 8. Modeling interventions -- Chapter 9. Models of virus dynamics -- Chapter 10. Virus dynamics in humans: unstable directions and order parameters. |
| Record Nr. | UNINA-9910558491103321 |
Frank Till Daniel
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| Cham : , : Springer International Publishing : , : Imprint : Springer, , 2022 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Mathematical Modelling and Analysis of Infectious Diseases / / edited by Khalid Hattaf, Hemen Dutta
| Mathematical Modelling and Analysis of Infectious Diseases / / edited by Khalid Hattaf, Hemen Dutta |
| Edizione | [1st ed. 2020.] |
| Pubbl/distr/stampa | Cham : , : Springer International Publishing : , : Imprint : Springer, , 2020 |
| Descrizione fisica | 1 online resource (XI, 342 p. 113 illus.) |
| Disciplina | 614.4015118 |
| Collana | Studies in Systems, Decision and Control |
| Soggetto topico |
Engineering mathematics
Engineering - Data processing Veterinary microbiology Mathematical and Computational Engineering Applications Veterinary Microbiology |
| ISBN | 3-030-49896-4 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Pathogen Evolution when Transmission and Virulence are Stochastic -- On the relationship between the basic reproduction number and the shape of the spatial domain -- Cause and Control strategy for infectious diseases with nonlinear incidence and treatment rate -- Global stability of a delay virus dynamics model with mitotic transmission and cure rate -- Dynamics of a fractional-order hepatitis B epidemic model and its solutions by nonstandard numerical schemes On SICA models for HIV transmission -- Analytical and numerical solutions of a TB-HIV/AIDS co-infection model via fractional derivatives without singular kernel. |
| Record Nr. | UNINA-9910411932003321 |
| Cham : , : Springer International Publishing : , : Imprint : Springer, , 2020 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Mathematical studies on human disease dynamics : emerging paradigms and challenges : AMS-IMS-SIAM Joint Summer Research Conference, competitive mathematical models of disease dynamics: emerging paradigms and challenges, July 17-21, 2005, Snowbird, Utah / Abba Gumel, editor-in-chief ; Carlos Castillo-Chavez, Ronald E. Mickens, Dominic P. Clemence, editors
| Mathematical studies on human disease dynamics : emerging paradigms and challenges : AMS-IMS-SIAM Joint Summer Research Conference, competitive mathematical models of disease dynamics: emerging paradigms and challenges, July 17-21, 2005, Snowbird, Utah / Abba Gumel, editor-in-chief ; Carlos Castillo-Chavez, Ronald E. Mickens, Dominic P. Clemence, editors |
| Autore | AMS-IMS-SIAM Joint Summer Research Conference on Modeling the dynamics of human disease : emerging paradigms and challenges <2005 ; Snowbird, Utah> |
| Pubbl/distr/stampa | Providence, R. I. : American Mathematical Society, c2006 |
| Descrizione fisica | xii, 389 p. : ill. ; 26 cm |
| Disciplina | 614.4015118 |
| Altri autori (Persone) |
Gumel, Abbaauthor
Castillo-Chávez, Carlos Mickens, Ronald E. Clemence, Dominic P. |
| Collana | Contemporary mathematics, 0271-4132 ; 410 |
| Soggetto topico |
Epidemiology - Mathematical models - Congresses
Diseases - Mathematical models - Congresses |
| ISBN | 0821837753 |
| Classificazione |
AMS 92-06
AMS 92D30 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNISALENTO-991002432419707536 |
Mathematical understanding of infectious disease dynamics [[electronic resource] /] / editors Stefan Ma, Yingcun Xia
| Mathematical understanding of infectious disease dynamics [[electronic resource] /] / editors Stefan Ma, Yingcun Xia |
| Pubbl/distr/stampa | New Jersey, : World Scientific, c2009 |
| Descrizione fisica | 1 online resource (240 p.) |
| Disciplina | 614.4015118 |
| Altri autori (Persone) |
MaStefan
XiaYingcun |
| Collana | Lecture notes series |
| Soggetto topico |
Communicable diseases - Epidemiology - Mathematical models
Medicine |
| Soggetto genere / forma | Electronic books. |
| ISBN |
1-282-44100-0
9786612441004 981-283-483-4 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | CONTENTS; Foreword; Preface; The Basic Epidemiology Models: Models, Expressions for R0, Parameter Estimation, and Applications Herbert W. Hethcote; Epidemiology Models with Variable Population Size Herbert W. Hethcote; Age-Structured Epidemiology Models and Expressions for R0 Herbert W. Hethcote; Clinical and Public Health Applications of Mathematical Models John W. Glasser; Non-identifiables and Invariant Quantities in Infectious Disease Models Ping Yan |
| Record Nr. | UNINA-9910456724603321 |
| New Jersey, : World Scientific, c2009 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Mathematical understanding of infectious disease dynamics [[electronic resource] /] / editors Stefan Ma, Yingcun Xia
| Mathematical understanding of infectious disease dynamics [[electronic resource] /] / editors Stefan Ma, Yingcun Xia |
| Pubbl/distr/stampa | New Jersey, : World Scientific, c2009 |
| Descrizione fisica | 1 online resource (240 p.) |
| Disciplina | 614.4015118 |
| Altri autori (Persone) |
MaStefan
XiaYingcun |
| Collana | Lecture notes series |
| Soggetto topico |
Communicable diseases - Epidemiology - Mathematical models
Medicine |
| ISBN |
1-282-44100-0
9786612441004 981-283-483-4 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | CONTENTS; Foreword; Preface; The Basic Epidemiology Models: Models, Expressions for R0, Parameter Estimation, and Applications Herbert W. Hethcote; Epidemiology Models with Variable Population Size Herbert W. Hethcote; Age-Structured Epidemiology Models and Expressions for R0 Herbert W. Hethcote; Clinical and Public Health Applications of Mathematical Models John W. Glasser; Non-identifiables and Invariant Quantities in Infectious Disease Models Ping Yan |
| Record Nr. | UNINA-9910780905403321 |
| New Jersey, : World Scientific, c2009 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Predicting Pandemics in a Globally Connected World, Volume 1 : Toward a Multiscale, Multidisciplinary Framework through Modeling and Simulation / / edited by Nicola Bellomo, Mark A. J. Chaplain
| Predicting Pandemics in a Globally Connected World, Volume 1 : Toward a Multiscale, Multidisciplinary Framework through Modeling and Simulation / / edited by Nicola Bellomo, Mark A. J. Chaplain |
| Edizione | [1st ed. 2022.] |
| Pubbl/distr/stampa | Cham : , : Springer International Publishing : , : Imprint : Birkhäuser, , 2022 |
| Descrizione fisica | 1 online resource (314 pages) |
| Disciplina |
016.36229
614.4015118 |
| Collana | Modeling and Simulation in Science, Engineering and Technology |
| Soggetto topico |
Biomathematics
Mathematical models Mathematical and Computational Biology Mathematical Modeling and Industrial Mathematics |
| ISBN | 3-030-96562-7 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Modeling, Simulations and Social Impact of Evolutionary Virus Pandemics (Bellomo) -- Understanding COVID-19 epidemics: a multi-scale modeling approach (Knopoff) -- Kinetic modelling of epidemic dynamics: social contacts, control with uncertain data, and multiscale spatial dynamics (Pareschi) -- The COVID-19 pandemic evolution in Hawai and New Jersey: a lesson on infection transmissibility and the role of human behavior (Piccoli) -- A Novel Point Process Model for COVID-19: Multivariate Recursive Hawkes Process (Bertozzi) -- Multiscale aspects of virus dynamics (Flandoli) -- Productivity in times of Covid-19: an agent-based model approach (Fontanari) -- Transmission Dynamics and Quarantine Control of COVID-19 in Cluster Community (Gao) -- A 2D kinetic model for crowd dynamics with disease contagion (Quaini) -- Multiscale derivation of a time-dependent SEIRD reaction-diffusion system for COVID-19 (Zagour). |
| Record Nr. | UNINA-9910595039903321 |
| Cham : , : Springer International Publishing : , : Imprint : Birkhäuser, , 2022 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Sociophysics approach to epidemics / / Jun Tanimoto
| Sociophysics approach to epidemics / / Jun Tanimoto |
| Autore | Tanimoto Jun <1965-> |
| Pubbl/distr/stampa | Singapore : , : Springer, , [2021] |
| Descrizione fisica | 1 online resource (297 pages) : illustrations |
| Disciplina | 614.4015118 |
| Collana | Evolutionary Economics and Social Complexity Science |
| Soggetto topico |
Epidemiology - Mathematical models
Game theory |
| ISBN | 981-336-481-5 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto |
Intro -- Preface -- Acknowledgments -- Contents -- About the Author -- Chapter 1: A Social-Physics Approach to Modeling and Analyzing Epidemics -- 1.1 Modeling of a Social-Complex System: A Human-Physics System -- 1.2 How the Spread of an Infectious Disease Can be Modeled?-Mathematical Epidemiology -- 1.3 How Human Behavior Can be Modeled?-Evolutionary Game Theory -- References -- Chapter 2: Evolutionary Game Theory: Fundamentals and Applications for Epidemiology -- 2.1 Two-Player and Two-Strategy Games -- 2.1.1 Theoretical Foundation -- 2.1.2 Social Viscosity -- 2.1.3 Multi-Agent-Simulation Approach -- 2.2 Multi-Player Games -- 2.3 Social Dilemma and its Mathematical Quantification -- 2.3.1 Concept of the Universal Scaling for Dilemma Strength -- 2.3.1.1 Direct Reciprocity -- 2.3.1.2 Indirect Reciprocity -- 2.3.1.3 Kin Selection -- 2.3.1.4 Group Selection -- 2.3.1.5 Network Reciprocity -- 2.3.2 Concept of a Social Efficiency Deficit -- 2.3.2.1 Donor and Recipient Game -- 2.3.2.2 Public Goods Game -- 2.3.2.3 PD with Social Viscosity -- 2.3.2.4 Chicken Game -- 2.3.3 Application of SED -- 2.3.3.1 Derivation of SED -- 2.3.3.2 Discussion -- References -- Chapter 3: Fundamentals of Mathematical Epidemiology and the Vaccination Game -- 3.1 Basic Model: SIR, SIS, and SEIR -- 3.1.1 Formulation of the SIR Model -- 3.1.2 Herd Immunity -- 3.1.3 Formulation of the SIS Model -- 3.1.4 Formulation of the SEIR Model -- 3.2 Theoretical Framework of a Vaccination Game -- 3.2.1 Two Models to Represent Stochastic Vaccination: Effectiveness and Efficiency -- 3.2.1.1 Effectiveness Model -- 3.2.1.2 Efficiency Model -- 3.2.2 Strategy-Updating Rule -- 3.2.2.1 Individual-Based Risk Assessment (IB-RA) -- 3.2.2.2 Strategy-Based Risk Assessment (SB-RA) -- 3.2.2.3 Direct Commitment (DC) -- 3.2.3 Global Dynamics for Strategy Updating -- 3.3 MAS Approach to the Vaccination Game.
3.3.1 Spatial Structure When Taking the MAS Approach -- 3.3.2 Effective Transmission Rate, βe, and Effective Recovery Rate, γe -- 3.3.3 Result of the Vaccination Game -- Comparison Between the MAS and ODE Models -- 3.4 Effect of the Underlying Topology -- 3.4.1 Degree Distribution -- 3.4.2 Networked SIR Model -- 3.4.3 Networked SIR/V Process with an Effectiveness Model -- 3.4.4 Networked SIR/V Process with an Efficiency Model -- 3.4.5 Payoff Structure and Global Dynamics for Strategy Updating -- 3.4.6 Result of the Networked Vaccination Game -- Comparison of Different Degree Distributions -- References -- Chapter 4: Plural Strategies: Intervention Game -- 4.1 Alternative Provisions Featuring Different Combinations of Cost-Effect Performances -- 4.2 Model Structure -- 4.2.1 Formulation of the SVMBIR Model -- 4.2.2 Payoff Structure -- 4.2.3 Strategy-Updating and Global Dynamics -- 4.2.3.1 Individual-Based Risk Assessment (IB-RA) -- 4.2.3.2 Strategy-Based Risk Assessment (SB-RA) -- 4.2.3.3 Direct Commitment (DC) -- 4.3 Result and Discussion -- References -- Chapter 5: Quarantine and Isolation -- 5.1 Social Background -- Quarantine or Isolation? -- 5.2 Model Structure -- 5.2.1 Formulation of the SVEIR Model -- 5.2.2 Payoff Structure -- 5.2.3 Strategy Updating and Global Dynamics -- 5.3 Result and Discussion -- 5.3.1 Local Dynamics in a Single Season -- 5.3.2 Social Equilibrium from Global Dynamics -- 5.3.3 Public-Based (Passive) Provision: Quarantine and Isolation vs. Individual-Based (Active) Provision: Vaccination -- 5.3.4 Passive Provision Rather Compensates the Shadow by Active Provision Than Mutually Competing -- 5.3.5 Comprehensive Discussion -- References -- Chapter 6: Media Information Effect Hampering the Spread of Disease -- 6.1 Positive Effect of Media Helps to Suppress the Spread of an Epidemic -- 6.2 Model Structure. 6.2.1 Formulation of the SVIR-UA Model -- 6.2.2 Payoff Structure -- 6.2.3 Strategy Updating and Global Dynamics -- 6.2.3.1 Individual-Based Risk Assessment (IB-RA) -- 6.2.3.2 Strategy-Based Risk Assessment (SB-RA) -- 6.2.4 Spatial Structure -- 6.2.5 Initial Condition and Numerical Procedure -- 6.3 Results and Discussion -- References -- Chapter 7: Immunity Waning Effect -- 7.1 Introduction and Background: Immunity and Its Degrading in View of Infectious Disease -- 7.2 Model Structure -- 7.2.1 Formulation of the SVnIR2n Model -- 7.2.2 Parameterization for Immunity Waning Effect -- 7.2.3 Time Evolution of Vaccination by Behavior Model -- 7.3 Result and Discussion -- 7.3.1 Fundamental Characteristic of Time Evolution -- 7.3.2 Dynamics Observed in Trajectory -- 7.3.3 Phase Diagram Analysis -- 7.3.4 Comprehensive Discussion -- References -- Chapter 8: Pre-emptive Vaccination Versus Antiviral Treatment -- 8.1 Introduction and Background: Behavioral Incentives in a Vaccination-Dilemma Setting with an Optional Treatment -- 8.2 Model Structure -- 8.2.1 Formulation of the SVITR Model -- 8.2.2 Reproduction Number -- 8.2.3 Payoff Structure -- 8.2.4 Strategy Updating and Global Dynamics -- 8.2.4.1 Individual-Based Risk Assessment (IB-RA) -- 8.2.4.2 Strategy-Based Risk Assessment (SB-RA) -- 8.2.5 Utility of Treatment -- 8.3 Result and Discussion -- 8.3.1 SVITR Dynamics -- 8.3.2 Interplay Between Vaccination and Treatment Costs -- 8.3.3 Individual-Versus Society-Centered Decision Making -- 8.3.4 Interplay Between Vaccine and Treatment Characteristics -- 8.3.5 Comprehensive Discussion -- References -- Chapter 9: Pre-emptive Vaccination Versus Late Vaccination -- 9.1 Introduction and Background: Is Pre-Emptive or Late Vaccination More Beneficial? -- 9.2 Model Structure -- 9.2.1 Formulation of the Dynamics of the Epidemic and Human Behavior -- 9.2.2 Payoff Structure. 9.2.3 Strategy Updating and Global Dynamics -- 9.3 Result and Discussion -- References -- Chapter 10: Influenza Vaccine Uptake -- 10.1 Introduction and Background: Multiple Strains and Multiple Vaccines -- 10.2 Model Structure -- 10.2.1 Dynamics of Epidemic Spread -- 10.2.2 Payoff Structure -- 10.2.3 Strategy Updating and Global Dynamics -- 10.3 Result and Discussion -- 10.3.1 Dynamics in a Single Season -- 10.3.2 Evolutionary Outcome of Vaccination Coverage -- 10.3.3 Phase Diagrams -- 10.3.4 Analysis of Social-Efficiency Deficit (SED) -- 10.3.5 Comprehensive Discussion -- Chapter 11: Optimal Design of a Vaccination-Subsidy Policy -- 11.1 Introduction and Background: Free Ticket, Discount Ticket, or a Combination of the Two-Which Subsidy Policy Is Socially O... -- 11.2 Model Design -- 11.2.1 Vaccination Game on a Scale-Free Network -- 11.2.2 Subsidy Policies -- 11.2.3 MAS Approach -- 11.3 Result and Discussion -- Chapter 12: Flexible Modeling -- 12.1 Introduction and Background: A New Cyclic Epidemic-Vaccination Model: Embedding the Attitude of Individuals Toward Vaccin... -- 12.2 Model Depiction -- 12.3 Result and Discussion -- Postscript -- Index. |
| Record Nr. | UNINA-9910483687703321 |
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Tanimoto Jun <1965->
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| Singapore : , : Springer, , [2021] | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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