Coupling compartmental models with Markov chains and measure evolution equations to capture virus mutability
DOI10.1142/s0218202522500506zbMath1512.92124OpenAlexW4293012975MaRDI QIDQ6157172
Ryan Weightman, Unnamed Author, Benedetto Piccoli
Publication date: 19 June 2023
Published in: Mathematical Models and Methods in Applied Sciences (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1142/s0218202522500506
Epidemiology (92D30) Applications of Markov chains and discrete-time Markov processes on general state spaces (social mobility, learning theory, industrial processes, etc.) (60J20) Generalized ordinary differential equations (measure-differential equations, set-valued differential equations, etc.) (34A06)
Related Items (2)
Cites Work
- An age and space structured SIR model describing the covid-19 pandemic
- Well posedness and control in a nonlocal SIR model
- Multiscale models of COVID-19 with mutations and variants
- A study of computational and conceptual complexities of compartment and agent based models
- A measure model for the spread of viral infections with mutations
- Optimization of vaccination for COVID-19 in the midst of a pandemic
- Advanced mathematical methodologies to contrast COVID-19 pandemic
- Superposition principle and schemes for measure differential equations
- Measure dynamics with probability vector fields and sources
- Measure differential equations
- Coupling kinetic theory approaches for pedestrian dynamics and disease contagion in a confined environment
- A mathematical model reveals the influence of population heterogeneity on herd immunity to SARS-CoV-2
- Control of COVID-19 outbreak using an extended SEIR model
- A multiscale model of virus pandemic: Heterogeneous interactive entities in a globally connected world
This page was built for publication: Coupling compartmental models with Markov chains and measure evolution equations to capture virus mutability
