Mathematical Modeling, Simulations, and AI for Emergent Pandemic Diseases: Lessons Learned From COVID-19
Editat de Esteban A. Hernandez-Vargas, Jorge X. Velasco-Hernandez Edgar N. Sanchezen Limba Engleză Paperback – 29 mar 2023
Readers will benefit from learning how to apply advanced mathematical modeling to a variety of topics of practical interest, including optimal allocations of masks and vaccines but also more theoretical problems such as the evolution of viral variants.
- Provides a comprehensive overview of the state-of-the-art in mathematical modeling and computational simulations for emerging pandemics
- Presents modeling techniques that go beyond COVID-19, and that can be applied to tailoring interventions to attenuate high death tolls
- Includes illustrations, tables and dialog boxes to explain highly specialized concepts and insights with complex algorithms, along with links to programming code
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Specificații
ISBN-13: 9780323950640
ISBN-10: 0323950647
Pagini: 348
Dimensiuni: 191 x 235 x 19 mm
Greutate: 0.6 kg
Editura: ELSEVIER SCIENCE
ISBN-10: 0323950647
Pagini: 348
Dimensiuni: 191 x 235 x 19 mm
Greutate: 0.6 kg
Editura: ELSEVIER SCIENCE
Public țintă
Researchers, developers, and industry professionals in Mathematical Modeling in Life Sciences, Mathematical Biology, Infection Biology, Mathematical Epidemiology, Computer Science, Applied Informatics, Bioinformatics, and Computational Biology and/or Control Systems.Cuprins
1. Modeling during an unprecedented pandemic 2. Global epidemiology and impact of the SARS-CoV-2 pandemic 3. Analysis of an ongoing epidemic: Advantages and limitations of COVID-19 modeling 4. On spatial heterogeneity of COVID-19 using shape analysis of pandemic curves 5. Pandemic response: Isolationism or solidarity? 6. Optimizing contact tracing: Leveraging contact network structure 7. Applications of deep learning in forecasting COVID-19 pandemic and county-level risk warning 8. COVID-19 population dynamics neural control from a complex network perspective 9. An agent-based model for COVID-19 and its interventions and impact in different social phenomena 10. Implementation of mitigation measures and modeling of in-hospital dynamics depending on the COVID-19 infection status 11. A mathematical model for the reopening of schools in Mexico 12. Mathematical assessment of the role of vaccination against COVID-19 in the United States 13. Ascertainment and biased testing rates in surveillance of emerging infectious diseases 14. Dynamical study of SARS-CoV-2 mathematical models under antiviral treatments 15. Statistical modeling to understand the COVID-19 pandemic 16. After COVID-19: Mathematical models, epidemic preparedness, and external factors in epidemic management