Mathematics of Public Health

Mathematical Modelling from the Next Generation

Jummy David, Jianhong Wu (Herausgeber)

Buch | Softcover

X, 317 Seiten

2025
Springer International Publishing (Verlag)
978-3-031-40807-6 (ISBN)

Inhalt

Preface.- Mathematical models: perspectives of mathematical modelers and public health professionals.- Discovering first-principle of behavioural change in disease transmission dynamics by deep learning.- Understanding Epidemic Multi-Wave Patterns via Machine Learning Clustering and the Epidemic Renormalization Group.- Contact Matrices in Compartmental Disease Transmission Models.- An optimal control approach for public health interventions on an Epidemic-Viral model in deterministic and stochastic environments.- Modeling airborne disease dynamics: progress and questions.- Modelling mutation-driven emergence of drug-resistance: a case study of SARS-CoV-2.- A Categorical Framework for Modeling with Stock and Flow Diagrams.- Agent-Based Modeling and its Tradeoffs: An Introduction & Examples.- Mathematical assessment of the role of interventions against SARS-CoV-2.- Long term dynamics of COVID-19 in a multi-strain model.

Produkt-Details

• Erscheinungsdatum: 02.01.2025
• Reihe/Serie: Fields Institute Communications
• Zusatzinfo: X, 317 p. 119 illus., 113 illus. in color.
• Verlagsort: Cham
• Sprache: englisch
• Maße: 155 x 235 mm
• Themenwelt: Mathematik / Informatik ► Mathematik ► Angewandte Mathematik
• Themenwelt: Mathematik / Informatik ► Mathematik ► Wahrscheinlichkeit / Kombinatorik
• Schlagworte: Agent-based Models • climate change • Compartmental models • Covid-19 • Mathematical epidemiology • Mathematics for Public Health Next Generation Network • Modeling Infectious Diseases • opioid epidemic • SDG 3 • SDG 3 Good Health and Well-being • SDG goal 3 • Vaccine development
• ISBN-10: 3-031-40807-1 / 3031408071
• ISBN-13: 978-3-031-40807-6 / 9783031408076
• Zustand: Neuware