Modeling nonlocal behavior in epidemics via a reaction-diffusion system incorporating population movement along a network
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Publication:2083221
DOI10.1016/j.cma.2022.115541OpenAlexW4295959448MaRDI QIDQ2083221
Gabriel F. Barros, Malú Grave, Alex Viguerie, Alvaro L. G. A. Coutinho, Alessandro Reali, Roberto Fernandes Silva Andrade
Publication date: 10 October 2022
Published in: Computer Methods in Applied Mechanics and Engineering (Search for Journal in Brave)
Full work available at URL: https://arxiv.org/abs/2205.04868
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Cites Work
- The fractional Laplacian operator on bounded domains as a special case of the nonlocal diffusion operator
- Finite cell method. \(h\)- and \(p\)-extension for embedded domain problems in solid mechanics
- Mathematical biology. Vol. 2: Spatial models and biomedical applications.
- Progression and transmission of HIV (PATH 4.0) -- a new agent-based evolving network simulation for modeling HIV transmission clusters
- Simulating the spread of COVID-19 \textit{via} a spatially-resolved susceptible-exposed-infected-recovered-deceased (SEIRD) model with heterogeneous diffusion
- A new convected level-set method for gas bubble dynamics
- Novel fractional order SIDARTHE mathematical model of COVID-19 pandemic
- Fractional-order susceptible-infected model: definition and applications to the study of COVID-19 main protease
- Bayesian-based predictions of COVID-19 evolution in Texas using multispecies mixture-theoretic continuum models
- Is it safe to lift COVID-19 travel bans? The Newfoundland story
- Diffusion-reaction compartmental models formulated in a continuum mechanics framework: application to COVID-19, mathematical analysis, and numerical study
- An agent-based computational framework for simulation of global pandemic and social response on \textit{planet X}
- COVID-19 dynamics across the US: a deep learning study of human mobility and social behavior
- Adaptive mesh refinement and coarsening for diffusion-reaction epidemiological models
- Coupled and uncoupled dynamic mode decomposition in multi-compartmental systems with applications to epidemiological and additive manufacturing problems
- Components in time-varying graphs
- On the formulation of epidemic models (an appraisal of Kermack and McKendrick)
- Numerical simulation of a susceptible–exposed–infectious space-continuous model for the spread of rabies in raccoons across a realistic landscape
- Hyperbolic compartmental models for epidemic spread on networks with uncertain data: Application to the emergence of COVID-19 in Italy
- A data-driven epidemic model with social structure for understanding the COVID-19 infection on a heavily affected Italian province
- Understanding Mass Transfer Directions via Data-Driven Models with Application to Mobile Phone Data
- A multiscale model of virus pandemic: Heterogeneous interactive entities in a globally connected world
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