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

DOI10.1007/978-3-030-96562-4_2zbMath1504.92108OpenAlexW4296677391MaRDI QIDQ5049732

Vizda Anam, Damián Knopoff, Maíra Aguiar, Nicole Cusimano, Nico Stollenwerk

Publication date: 11 November 2022

Published in: Predicting Pandemics in a Globally Connected World, Volume 1 (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1007/978-3-030-96562-4_2

Mathematics Subject Classification ID

Epidemiology (92D30) Qualitative investigation and simulation of ordinary differential equation models (34C60) Medical epidemiology (92C60)

Cites Work

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• Monte Carlo simulation of random walks with residence time dependent transition probability rates
• Master equation solution of a plant disease model
• A quest towards a mathematical theory of living systems
• Heterogeneous distribution of mechanical stress in human lung: a mathematical approach to evaluate abnormal remodeling in IPF
• Effects of latency and age structure on the dynamics and containment of COVID-19
• Epidemiological models in semiclassical approximation: an analytically solvable model as a test case
• A spatially stochastic epidemic model with partial immunization shows in mean field approximation the reinfection threshold
• What is life? A perspective of the mathematical kinetic theory of active particles
• A multiscale network-based model of contagion dynamics: Heterogeneity, spatial distancing and vaccination
• A multiscale model of virus pandemic: Heterogeneous interactive entities in a globally connected world

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