01529nam2 22003373i 450 PUV046393420231121125615.020081028d1890 ||||0itac50 balatdez01i xxxe z01n˜1: œLibros 1.-10. continensedidit Ludovicus BauerLipsiaein aedibus B. G. Teubneri1890XVI, 240 p.18 cm.001PUV04638802001 Sili Italici Punicaedidit Ludovicus Bauer1Silius Italicus, GaiusCFIV037894070487169Silius Italicus, Tiberius Catius AsconiusCFIV159610Silius Italicus, GaiusSilius Italicus, Tiberius CatiusCFIV159611Silius Italicus, GaiusSilio ItalicoCFIV194264Silius Italicus, GaiusITIT-0120081028IT-RM028 IT-FR0084 IT-RM0151 IT-FR0017 Biblioteca Universitaria AlessandrinaRM028 Biblioteca Del Monumento Nazionale Di MontecassinoFR0084 Biblioteca Istituto Storico Italiano Medio Evo - IRM0151 Biblioteca umanistica Giorgio ApreaFR0017 NPUV0463934Biblioteca umanistica Giorgio Aprea 52DLM BTL /Sil. /1.1 52DUP0009029835 VMB RS C 2019090920190909 01 25 41 52Libros 1.-10. continens3613882UNICAS03957nam 22006615 450 991086528150332120251217112516.09783031567940303156794310.1007/978-3-031-56794-0(MiAaPQ)EBC31369967(Au-PeEL)EBL31369967(CKB)32238789300041(DE-He213)978-3-031-56794-0(OCoLC)1438673326(EXLCZ)993223878930004120240604d2024 u| 0engurcnu||||||||txtrdacontentcrdamediacrrdacarrierPredicting Pandemics in a Globally Connected World, Volume 2 Toward a Multiscale, Multidisciplinary Framework through Modeling and Simulation /edited by Maira Aguiar, Nicola Bellomo, Mark Chaplain1st ed. 2024.Cham :Springer Nature Switzerland :Imprint: Birkhäuser,2024.1 online resource (233 pages)Modeling and Simulation in Science, Engineering and Technology,2164-37259783031567933 3031567935 Chapter. 1. Evolutionary Virus Pandemics: From modeling and Simulations to Society -- Chapter. 2. Development and Analysis of Multiscale Models for Tuberculosis: From Molecules to Populations -- Chapter. 3. The use of crowd models for risk analysis during the Covid-19 pandemic -- Chapter. 4. Modeling household effects in epidemics -- Chapter. 5. An analytic look at the last pandemic’s spread and its control by decision-makers -- Chapter. 6. A time-dependent SIRD nonlinear cross-diffusion dpidemic model: Multiscale derivation and computational analysis -- Chapter. 7. Optimal control of an epidemic using compartmental models and measure differential equations -- Chapter. 8. Complex network approaches for epidemic modeling: a case study of COVID-19 -- Chapter. 9. How vaccination helps to relax the population mobility: an agent-based model approach.In an increasingly globally-connected world, the ability to predict, monitor, and contain pandemics is essential to ensure the health and well-being of all. This contributed volume investigates several mathematical techniques for the modeling and simulation of viral pandemics, with a special focus on COVID-19. Modeling a pandemic requires an interdisciplinary approach with other fields such as epidemiology, virology, immunology, and biology in general. Spatial dynamics and interactions are also important features to be considered, and a multiscale framework is needed at the societal level, the level of individuals, and the level of virus particles and the immune system. Chapters in this volume explore the latest research related to these items to demonstrate the utility of a variety of mathematical methods. Perspectives for the future are also offered.Modeling and Simulation in Science, Engineering and Technology,2164-3725BiomathematicsMathematical modelsMathematical and Computational BiologyMathematical Modeling and Industrial MathematicsCOVID-19thubModels matemàticsthubEpidèmiesthubLlibres electrònicsthubBiomathematics.Mathematical models.Mathematical and Computational Biology.Mathematical Modeling and Industrial Mathematics.COVID-19Models matemàticsEpidèmies570,285Aguiar Maira1742462Bellomo N31305Chaplain Mark508835MiAaPQMiAaPQMiAaPQBOOK9910865281503321Predicting Pandemics in a Globally Connected World, Volume 24169232UNINA