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 |
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Lo trovi qui: Univ. Federico II | ||
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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
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Bielefeld : , : Stanford University Press, , 2023 | ||
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Lo trovi qui: Univ. Federico II | ||
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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.
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Cham, : Springer, 2018 | ||
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Lo trovi qui: Univ. Vanvitelli | ||
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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
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Taylor & Francis, 2022 | ||
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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 |
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 | ||
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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.] |
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 | ||
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Lo trovi qui: Univ. Vanvitelli | ||
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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
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New York, : Springer, 2019 | ||
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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 |
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.
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Cham, : Springer, 2017 | ||
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Lo trovi qui: Univ. Vanvitelli | ||
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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
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Cham, : Springer International Publishing AG, 2021 | ||
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Lo trovi qui: Univ. di Salerno | ||
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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
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Cham, : Springer International Publishing AG, 2021 | ||
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Lo trovi qui: Univ. Federico II | ||
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