Predicting Pandemics in a Globally Connected World, Volume 1 Toward a Multiscale, Multidisciplinary Framework through Modeling and Simulation
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....
| Other Authors: | , |
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| Format: | eBook |
| Language: | English |
| Published: |
Cham
Birkhäuser
2022, 2022
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| Edition: | 1st ed. 2022 |
| Series: | Modeling and Simulation in Science, Engineering and Technology
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| Subjects: | |
| Online Access: | |
| Collection: | Springer eBooks 2005- - Collection details see MPG.ReNa |
Table of Contents:
- 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)