Mathematical Modelling, Simulations, and AI for Emergent Pandemic Diseases: Lessons Learned from Covid-19

ISBN-13: 9780323950640 / Angielski / Miękka / 2023 / 320 str.

Hernandez-Vargas, Esteban A.

Spis treści

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