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Are you ready? : implementing the national strategy for pandemic influenza : full hearing before the Committee on Homeland Security, House of Representatives, One Hundred Ninth Congress, second session, May 16, 2006
Are you ready? : implementing the national strategy for pandemic influenza : full hearing before the Committee on Homeland Security, House of Representatives, One Hundred Ninth Congress, second session, May 16, 2006
Descrizione fisica 1 online resource (iii, 53 p.)
Soggetto non controllato Epidemics
Health Planning
Influenza
Vaccines
Public Health
Medical
Political Science
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Altri titoli varianti Are you ready?
Record Nr. UNINA-9910694305003321
Materiale a stampa
Lo trovi qui: Univ. Federico II
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Epidemic Orientalism : Race, Capital, and the Governance of Infectious Disease
Epidemic Orientalism : Race, Capital, and the Governance of Infectious Disease
Autore White Alexandre I. R
Edizione [1st ed.]
Pubbl/distr/stampa Bielefeld : , : Stanford University Press, , 2023
Descrizione fisica 1 online resource (281 pages)
Disciplina 614.409
Soggetto topico Communicable diseases - Prevention - International cooperation - History
Epidemics - Prevention - International cooperation - History
Imperialism - Health aspects - History
Public health - Political aspects - History
Racism - Health aspects - History
SOCIAL SCIENCE / Disease & Health Issues
Soggetto non controllato COVID-19
Disease
Epidemics
Global Health
Imperialism
Pandemic
Post-colonial theory
World Health Organization
capital
racism
ISBN 1-5036-3413-2
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Frontmatter -- Contents -- Preface -- Acknowledgments -- Introduction -- 1 Epidemic Orientalism -- 2 The International Sanitary Conventions at a Colonial Scale -- 3 Epidemics under the WHO -- 4 The Battle to Police Disease -- 5 Epidemics, Power, and the Global Management of Disease Risk -- 6 Pricing Pandemics -- Conclusion -- Notes -- Index
Record Nr. UNINA-9910838209203321
White Alexandre I. R  
Bielefeld : , : Stanford University Press, , 2023
Materiale a stampa
Lo trovi qui: Univ. Federico II
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Epidemics : Models and Data using R / Ottar N. Bjørnstad
Epidemics : Models and Data using R / Ottar N. Bjørnstad
Autore Bjørnstad, Ottar N.
Pubbl/distr/stampa Cham, : Springer, 2018
Descrizione fisica xiii, 312 p. : ill. ; 24 cm
Soggetto topico 92-XX - Biology and other natural sciences [MSC 2020]
62-XX - Statistics [MSC 2020]
92Cxx - Physiological, cellular and medical topics [MSC 2020]
92Dxx - Genetics and population dynamics [MSC 2020]
Soggetto non controllato Contagions
Disease Modelling
Endemicity
Epidemics
Epidemiology
Infectious Disease Dynamics
Infectious Diseases
Nonlinear dynamical systems
Public Health Analysis
Recurent Epidemics
SEIR Compartmental Models
Time Series Analysis
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Titolo uniforme
Record Nr. UNICAMPANIA-VAN0124663
Bjørnstad, Ottar N.  
Cham, : Springer, 2018
Materiale a stampa
Lo trovi qui: Univ. Vanvitelli
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Infectious inequalities : epidemics, trust, and social vulnerabilities in cinema / / Qijun Han and Daniel R. Curtis
Infectious inequalities : epidemics, trust, and social vulnerabilities in cinema / / Qijun Han and Daniel R. Curtis
Autore Han Qijun
Pubbl/distr/stampa Taylor & Francis, 2022
Descrizione fisica 1 online resource (166 pages) : illustrations
Disciplina 791.4361
Soggetto topico Epidemics in motion pictures
Soggetto non controllato Cinema
Epidemics
Film Studies
Social Vulnerability
ISBN 1-00-326166-3
1-000-54076-6
1-003-26166-3
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Understanding epidemics through the cinematic lens -- Societal responses to epidemics: immorality and resistance -- Suspicious minds: cinematic depiction of distrust during epidemics -- Bridging the gap: epidemics, public health workers, and "heroism" in cinematic perspective -- From spreaders to sacrifice: cinematic representation of women during epidemics -- Between urban depravity and rural backwardness: cinematic depiction of poverty during epidemics -- Conclusion: epidemics and cinema in an age of COVID-19 -- Appendix: filmography of films depicting epidemics.
Record Nr. UNINA-9910513699303321
Han Qijun  
Taylor & Francis, 2022
Materiale a stampa
Lo trovi qui: Univ. Federico II
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Mathematical Approaches to Problems in Resource Management and Epidemiology : Proceedings of a Conference held at Ithaca, NY, Oct. 28–30, 1987 / edited by Carlos Castillo-Chavez, Simon A. Levin and Christine A. Shoemaker
Mathematical Approaches to Problems in Resource Management and Epidemiology : Proceedings of a Conference held at Ithaca, NY, Oct. 28–30, 1987 / edited by Carlos Castillo-Chavez, Simon A. Levin and Christine A. Shoemaker
Pubbl/distr/stampa Berlin, : Springer, 1989
Descrizione fisica vii, 327 p. : ill. ; 24 cm
Soggetto topico 00B25 - Proceedings of conferences of miscellaneous specific interest [MSC 2020]
92-XX - Biology and other natural sciences [MSC 2020]
90-XX - Operations research, mathematical programming [MSC 2020]
Soggetto non controllato AIDS
Biology
Dynamics
Ecotoxicology
Environment
Environmental policy
Epidemics
Epidemiology
Evolution
Growth
Mathematical modeling
Mathematics
Population biology
Population dynamics
Systems
Tree
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Record Nr. UNICAMPANIA-VAN0265847
Berlin, : Springer, 1989
Materiale a stampa
Lo trovi qui: Univ. Vanvitelli
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Mathematical epidemiology / Fred Brauer, Pauline van den Driessche, Jianhong Wu (eds.) ; with contributions by L.J.S. Allen ... [et al.]
Mathematical epidemiology / Fred Brauer, Pauline van den Driessche, Jianhong Wu (eds.) ; with contributions by L.J.S. Allen ... [et al.]
Pubbl/distr/stampa Berlin, : Springer, 2008
Descrizione fisica XVIII, 408 p. ; 24 cm
Soggetto topico 92Dxx - Genetics and population dynamics [MSC 2020]
Soggetto non controllato Applied Nonlinear dynamics
Epidemics
Epidemiology
Mathematical epidemiology
Mathematics for public health
Network modeling and stochastic analysis for disease spread
Nonlinear differential equations
Ordinary differential equations
Pandemic Influenza
Pandemics
ISBN 978-35-407-8910-9
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Titolo uniforme
Record Nr. UNICAMPANIA-VAN0065621
Berlin, : Springer, 2008
Materiale a stampa
Lo trovi qui: Univ. Vanvitelli
Opac: Controlla la disponibilità qui
Mathematical Models in Epidemiology / Fred Brauer, Carlos Castillo-Chavez, Zhilan Feng
Mathematical Models in Epidemiology / Fred Brauer, Carlos Castillo-Chavez, Zhilan Feng
Autore Brauer, Fred
Pubbl/distr/stampa New York, : Springer, 2019
Descrizione fisica xviii, 619 p. : ill. ; 24 cm
Altri autori (Persone) Castillo-Chavez, Carlos
Feng, Zhilan
Soggetto topico 92D30 - Epidemiology [MSC 2020]
Soggetto non controllato Analysis of models
Communicable diseases
Disease Transmission Models
Endemic states
Epidemics
Epidemiology
Mathematical Models
Metapopulation Models
Stochastic models
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Titolo uniforme
Record Nr. UNICAMPANIA-VAN0127259
Brauer, Fred  
New York, : Springer, 2019
Materiale a stampa
Lo trovi qui: Univ. Vanvitelli
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Mathematics of Epidemics on Networks : From Exact to Approximate Models / István Z. Kiss, Joel C. Miller, Péter L. Simon
Mathematics of Epidemics on Networks : From Exact to Approximate Models / István Z. Kiss, Joel C. Miller, Péter L. Simon
Autore Kiss, István Z.
Pubbl/distr/stampa Cham, : Springer, 2017
Descrizione fisica xviii, 413 p. : ill. ; 24 cm
Altri autori (Persone) Miller, Joel C.
Simon, Péter L.
Soggetto topico 47-XX - Operator theory [MSC 2020]
35-XX - Partial differential equations [MSC 2020]
37-XX - Dynamical systems and ergodic theory [MSC 2020]
60-XX - Probability theory and stochastic processes [MSC 2020]
34-XX - Ordinary differential equations [MSC 2020]
00-XX - General and overarching topics; collections [MSC 2020]
Soggetto non controllato Dynamic Processes
Dynamic/adaptive network
Edge based compartmental model
Epidemics
Mathematical modeling
Mean field models
Non-Markovian epidemics
Pairwise models
Percolation theory
Propagation Models
Stochastic processes
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Titolo uniforme
Record Nr. UNICAMPANIA-VAN0123430
Kiss, István Z.  
Cham, : Springer, 2017
Materiale a stampa
Lo trovi qui: Univ. Vanvitelli
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Pandemics : insurance and social protection / / editors, María del Carmen Boado-Penas, Julia Eisenberg, Şule Şahin
Pandemics : insurance and social protection / / editors, María del Carmen Boado-Penas, Julia Eisenberg, Şule Şahin
Autore Boado-Penas María del Carmen
Pubbl/distr/stampa Cham, : Springer International Publishing AG, 2021
Descrizione fisica 1 online resource (xx, 298 pages) : illustrations (some color)
Altri autori (Persone) Boado-PenasMaría del Carmen
EisenbergJulia
Şahin‬‬‬Şule
Collana Springer Actuarial
Soggetto topico Epidemics
Insurance - Mathematical models
Insurance - Statistical methods
Social security
Assegurances
Models matemàtics
Estadística matemática
Seguretat social
Epidèmies
Soggetto genere / forma Llibres electrònics
Soggetto non controllato Epidemics
Risk
Insurance
Social protection
Actuarial modelling
Open Access
ISBN 3-030-78334-0
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Intro -- Preface -- Acknowledgements -- Contents -- Contributors -- 1 COVID-19: A Trigger for Innovations in Insurance? -- 1.1 Introduction -- 1.2 Discussions from the Perspective of Insurance and Social Protection -- 1.2.1 Commercial Insurance -- 1.2.2 The Role of the Governments and Social Protection -- 1.3 Listening to the Wind of Change -- References -- 2 Epidemic Compartmental Models and Their Insurance Applications -- 2.1 Introduction -- 2.2 Compartmental Models in Epidemiology -- 2.2.1 SIR Model -- 2.2.2 Other Compartmental Models -- 2.3 Epidemic Insurance
2.3.1 Annuities and Insurance Benefits -- 2.3.2 Reserves -- 2.3.3 Further Extensions -- 2.3.4 Case Studies: COVID-19 -- 2.4 Resource Management -- 2.4.1 Pillar I: Regional and Aggregate Resources Demand Forecast -- 2.4.2 Pillar II: Centralised Stockpiling and Distribution -- 2.4.3 Pillar III: Centralised Resources Allocation -- 2.5 Conclusion -- References -- 3 Some Investigations with a Simple Actuarial Model for Infections Such as COVID-19 -- 3.1 Introduction -- 3.2 Multiple State Actuarial Models -- 3.3 A Simple Daily Model for Infection -- 3.4 Comparisons with the SIR Model
3.5 Enhancements for COVID-19 and Initial Assumptions -- 3.6 Estimating Parameters Model 1 -- 3.7 Estimating Parameters Model 2 -- 3.8 Comments on Results of Models 1 and 2 -- 3.9 Further Extensions: Models 3 and 4 -- 3.10 Comments on Results of Models 3 and 4 -- 3.11 Projection Models -- 3.12 Problems and Unknowns -- 3.13 Other Countries -- 3.14 Conclusions -- References -- 4 Stochastic Mortality Models and Pandemic Shocks -- 4.1 Stochastic Mortality Models and the COVID-19 Shock -- 4.2 The Impact of COVID-19 on Mortality Rates
4.3 Stochastic Mortality Models and Pandemics: Single-Population Models -- 4.3.1 Discrete-Time Single Population Models -- 4.3.2 Continuous-Time Single-Population Models -- 4.4 Stochastic Mortality Models and Pandemics: Multi-population -- 4.4.1 Discrete-Time Models -- 4.4.2 Continuous-Time Models -- 4.5 A Continuous-Time Multi-population Model with Jumps -- 4.6 Conclusions -- References -- 5 A Mortality Model for Pandemics and Other Contagion Events -- 5.1 Introduction -- 5.2 Highlights of Methodology and Findings -- 5.2.1 Summary of Methodology -- 5.2.2 Summary of Findings
5.3 Semiparametric Regression in MCMC -- 5.3.1 MCMC Parameter Shrinkage -- 5.3.2 Spline Regressions -- 5.3.3 Why Shrinkage? -- 5.3.4 Cross Validation in MCMC -- 5.4 Model Details -- 5.4.1 Formulas -- 5.4.2 Fitting Process -- 5.5 Results -- 5.5.1 Extensions: Generalisation, Projections and R Coding -- 5.6 Conclusions -- References -- 6 Risk-Sharing and Contingent Premia in the Presence of Systematic Risk: The Case Study of the UK COVID-19 Economic Losses -- 6.1 Introduction -- 6.2 Risk Levels and Systematic Risk in Insurance -- 6.3 Mathematical Setup -- 6.3.1 Probability Space
6.3.2 Insurance Preliminaries
Altri titoli varianti Pandemics
Record Nr. UNISA-996466419903316
Boado-Penas María del Carmen  
Cham, : Springer International Publishing AG, 2021
Materiale a stampa
Lo trovi qui: Univ. di Salerno
Opac: Controlla la disponibilità qui
Pandemics : insurance and social protection / / editors, María del Carmen Boado-Penas, Julia Eisenberg, Şule Şahin
Pandemics : insurance and social protection / / editors, María del Carmen Boado-Penas, Julia Eisenberg, Şule Şahin
Autore Boado-Penas María del Carmen
Pubbl/distr/stampa Cham, : Springer International Publishing AG, 2021
Descrizione fisica 1 online resource (xx, 298 pages) : illustrations (some color)
Altri autori (Persone) Boado-PenasMaría del Carmen
EisenbergJulia
Şahin‬‬‬Şule
Collana Springer Actuarial
Soggetto topico Epidemics
Insurance - Mathematical models
Insurance - Statistical methods
Social security
Assegurances
Models matemàtics
Estadística matemática
Seguretat social
Epidèmies
Soggetto genere / forma Llibres electrònics
Soggetto non controllato Epidemics
Risk
Insurance
Social protection
Actuarial modelling
Open Access
ISBN 3-030-78334-0
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Intro -- Preface -- Acknowledgements -- Contents -- Contributors -- 1 COVID-19: A Trigger for Innovations in Insurance? -- 1.1 Introduction -- 1.2 Discussions from the Perspective of Insurance and Social Protection -- 1.2.1 Commercial Insurance -- 1.2.2 The Role of the Governments and Social Protection -- 1.3 Listening to the Wind of Change -- References -- 2 Epidemic Compartmental Models and Their Insurance Applications -- 2.1 Introduction -- 2.2 Compartmental Models in Epidemiology -- 2.2.1 SIR Model -- 2.2.2 Other Compartmental Models -- 2.3 Epidemic Insurance
2.3.1 Annuities and Insurance Benefits -- 2.3.2 Reserves -- 2.3.3 Further Extensions -- 2.3.4 Case Studies: COVID-19 -- 2.4 Resource Management -- 2.4.1 Pillar I: Regional and Aggregate Resources Demand Forecast -- 2.4.2 Pillar II: Centralised Stockpiling and Distribution -- 2.4.3 Pillar III: Centralised Resources Allocation -- 2.5 Conclusion -- References -- 3 Some Investigations with a Simple Actuarial Model for Infections Such as COVID-19 -- 3.1 Introduction -- 3.2 Multiple State Actuarial Models -- 3.3 A Simple Daily Model for Infection -- 3.4 Comparisons with the SIR Model
3.5 Enhancements for COVID-19 and Initial Assumptions -- 3.6 Estimating Parameters Model 1 -- 3.7 Estimating Parameters Model 2 -- 3.8 Comments on Results of Models 1 and 2 -- 3.9 Further Extensions: Models 3 and 4 -- 3.10 Comments on Results of Models 3 and 4 -- 3.11 Projection Models -- 3.12 Problems and Unknowns -- 3.13 Other Countries -- 3.14 Conclusions -- References -- 4 Stochastic Mortality Models and Pandemic Shocks -- 4.1 Stochastic Mortality Models and the COVID-19 Shock -- 4.2 The Impact of COVID-19 on Mortality Rates
4.3 Stochastic Mortality Models and Pandemics: Single-Population Models -- 4.3.1 Discrete-Time Single Population Models -- 4.3.2 Continuous-Time Single-Population Models -- 4.4 Stochastic Mortality Models and Pandemics: Multi-population -- 4.4.1 Discrete-Time Models -- 4.4.2 Continuous-Time Models -- 4.5 A Continuous-Time Multi-population Model with Jumps -- 4.6 Conclusions -- References -- 5 A Mortality Model for Pandemics and Other Contagion Events -- 5.1 Introduction -- 5.2 Highlights of Methodology and Findings -- 5.2.1 Summary of Methodology -- 5.2.2 Summary of Findings
5.3 Semiparametric Regression in MCMC -- 5.3.1 MCMC Parameter Shrinkage -- 5.3.2 Spline Regressions -- 5.3.3 Why Shrinkage? -- 5.3.4 Cross Validation in MCMC -- 5.4 Model Details -- 5.4.1 Formulas -- 5.4.2 Fitting Process -- 5.5 Results -- 5.5.1 Extensions: Generalisation, Projections and R Coding -- 5.6 Conclusions -- References -- 6 Risk-Sharing and Contingent Premia in the Presence of Systematic Risk: The Case Study of the UK COVID-19 Economic Losses -- 6.1 Introduction -- 6.2 Risk Levels and Systematic Risk in Insurance -- 6.3 Mathematical Setup -- 6.3.1 Probability Space
6.3.2 Insurance Preliminaries
Altri titoli varianti Pandemics
Record Nr. UNINA-9910504284203321
Boado-Penas María del Carmen  
Cham, : Springer International Publishing AG, 2021
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui

Data di pubblicazione