Epidemiological models in semiclassical approximation: an analytically solvable model as a test case

DOI10.1002/mma.4108zbMath1349.92144OpenAlexW2531387545WikidataQ57635071 ScholiaQ57635071MaRDI QIDQ2831040

Urszula Skwara, Luís Mateus, Filipe Rocha, Jc. Zambrini, Maíra Aguiar, Peygham Ghaffari, Davide Masoero, Nico Stollenwerk

Publication date: 1 November 2016

Published in: Mathematical Methods in the Applied Sciences (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1002/mma.4108

zbMATH Keywords

Hamilton-Jacobi equationWKB approximationepidemiologyHamilton's equations of motion

Mathematics Subject Classification ID

Epidemiology (92D30) Hamilton-Jacobi equations (35F21)

Related Items (1)

Understanding COVID-19 Epidemics: A Multi-Scale Modeling Approach

Cites Work

• The role of seasonality and import in a minimalistic multi-strain dengue model capturing differences between primary and secondary infections: complex dynamics and its implications for data analysis
• Entropic dynamics, time and quantum theory
• On the series expansion of the spatial SIS evolution operator
• A spatially stochastic epidemic model with partial immunization shows in mean field approximation the reinfection threshold
• Time-scale separation and centre manifold analysis describing vector-borne disease dynamics
• Stochastic models in population biology: from dynamic noise to Bayesian description and model comparison for given data sets
• Handbook of stochastic methods for physics, chemistry and the natural sciences.

This page was built for publication: Epidemiological models in semiclassical approximation: an analytically solvable model as a test case