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[null,"1.","Record Nr.",null,"UNICAMPANIASUN0059143"]
[null,null,"Titolo",null,"Repertorium fontium historiae Medii Aevi / primum ab Augusto Potthast digestum, nunc cura collegii historicorum e pluribus nationibus emendatum et auctum ; [a cura di] Istituto storico italiano per il Medio Evo; Unione internazionale degli istituti di archeologia, storia e storia dell'arte di Roma"]
[null,null,"Pubbl/distr/stampa",null,"Romae : apud Istituto storico italiano per il Medio Evo, 1962-"]
[null,null,"Descrizione fisica",null,"v. ; 27 cm."]
[null,null,"Disciplina",null,"016.9401"]
[null,null,"Soggetti",null,"Storia medievale - Fonti - Repertori"]
[null,null,"Lingua di pubblicazione",null,"Italiano"]
[null,null,"Formato",null,"Materiale a stampa"]
[null,null,null,"Livello bibliografico","Monografia"]
[null,"2.","Record Nr.",null,"UNINA9910595039903321"]
[null,null,"Titolo",null,"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"]
[null,null,"Pubbl/distr/stampa",null,"Cham : , : Springer International Publishing : , : Imprint : Birkhäuser, , 2022"]
[null,null,"ISBN",null,"3-030-96562-7"]
[null,null,"Edizione",null,"[1st ed. 2022.]"]
[null,null,"Descrizione fisica",null,"1 online resource (314 pages)"]
[null,null,"Collana",null,"Modeling and Simulation in Science, Engineering and Technology, , 2164-3725"]
[null,null,"Disciplina",null,"016.36229"]
[{"$nulls":4},"614.4015118"]
[null,null,"Soggetti",null,"Biomathematics"]
[{"$nulls":4},"Mathematical models"]
[{"$nulls":4},"Mathematical and Computational Biology"]
[{"$nulls":4},"Mathematical Modeling and Industrial Mathematics"]
[null,null,"Lingua di pubblicazione",null,"Inglese"]
[null,null,"Formato",null,"Materiale a stampa"]
[null,null,null,"Livello bibliografico","Monografia"]
[null,null,"Nota di contenuto",null,"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)."]
[null,null,null,"Sommario/riassunto","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 "]
[{"$nulls":4},"are also important features to be considered, and a multiscale framework is needed at the level of individuals and the level of virus particles and the immune system. Chapters in this volume address these items, as well as offer perspectives for the future."]