Understanding epidemic multi-wave patterns via machine learning clustering and the epidemic renormalization group

DOI10.1007/978-3-031-40805-2_3OpenAlexW4390440334MaRDI QIDQ6196853

Giacomo Cacciapaglia, Shahram Vatani

Publication date: 15 March 2024

Published in: Mathematics of Public Health (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1007/978-3-031-40805-2_3

Mathematics Subject Classification ID

Epidemiology (92D30) Learning and adaptive systems in artificial intelligence (68T05)

Cites Work

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• Statistical physics of vaccination
• On the critical behavior of the general epidemic process and dynamical percolation
• Epidemiological theory of virus variants
• Statistical physics of human cooperation
• The Mathematics of Infectious Diseases
• Renormalization Group and Critical Phenomena. II. Phase-Space Cell Analysis of Critical Behavior
• Renormalization Group and Critical Phenomena. I. Renormalization Group and the Kadanoff Scaling Picture
• Conformal invariance and critical dynamics

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