An evaluation of prospective COVID-19 modelling studies in the USA: from data to science translation
Infectious disease modelling can serve as a powerful tool for situational awareness and
decision support for policy makers. However, COVID-19 modelling efforts faced many …
decision support for policy makers. However, COVID-19 modelling efforts faced many …
[HTML][HTML] The use of networks in spatial and temporal computational models for outbreak spread in epidemiology: A systematic review
L Pujante-Otalora, B Canovas-Segura… - Journal of Biomedical …, 2023 - Elsevier
Objectives To examine recent literature in order to present a comprehensive overview of the
current trends as regards the computational models used to represent the propagation of an …
current trends as regards the computational models used to represent the propagation of an …
Fractional dynamic analysis and optimal control problem for an SEIQR model on complex networks
X Fu, JR Wang - Chaos: An Interdisciplinary Journal of Nonlinear …, 2022 - pubs.aip.org
A fractional order susceptible–exposed–infected–quarantined–recovered model is
established on the complex networks. We calculate a specific expression for the basic …
established on the complex networks. We calculate a specific expression for the basic …
[HTML][HTML] Novel class of susceptible–infectious–recovered models involving power-law interactions
G Kaniadakis - Physica A: Statistical Mechanics and its Applications, 2024 - Elsevier
It is shown that the ordinary SIR (Susceptible–Infectious–Recovered) epidemic model
exhibits features that are common to a class of compartmental models with power-law …
exhibits features that are common to a class of compartmental models with power-law …
Analysis of epidemic spread dynamics using a PDE model and COVID-19 data from Hamilton County OH USA
We study the spatiotemporal dynamics of an epidemic spread using a compartmentalized
PDE model. The model is validated using COVID-19 data from Hamilton County, Ohio, USA …
PDE model. The model is validated using COVID-19 data from Hamilton County, Ohio, USA …
Model‐based reinforcement learning control of reaction‐diffusion problems
Mathematical and computational tools have proven to be reliable in decision‐making
processes. In recent times, in particular, machine learning‐based methods are becoming …
processes. In recent times, in particular, machine learning‐based methods are becoming …
Individual Variation Affects Outbreak Magnitude and Predictability in an Extended Multi-Pathogen SIR Model of Pigeons Vising Dairy Farms
T Lazebnik, O Spiegel - arXiv preprint arXiv:2310.08613, 2023 - arxiv.org
Zoonotic disease transmission between animals and humans is a growing risk and the
agricultural context acts as a likely point of transition, with individual heterogeneity acting as …
agricultural context acts as a likely point of transition, with individual heterogeneity acting as …
Linear-quadratic optimal control of second-order parabolic systems
X Xue, J Xu, H Zhang - Journal of Control and Decision, 2023 - Taylor & Francis
This paper considers the linear-quadratic (LQ) optimal control problem for systems governed
by a class of second-order parabolic partial differential equations (PDEs). This problem is …
by a class of second-order parabolic partial differential equations (PDEs). This problem is …
Instabilities and self–organization in spatiotemporal epidemic dynamics driven by nonlinearity and noise
Theoretical analysis of epidemic dynamics has attracted significant attention in the aftermath
of the COVID–19 pandemic. In this article, we study dynamic instabilities in a spatiotemporal …
of the COVID–19 pandemic. In this article, we study dynamic instabilities in a spatiotemporal …
Dynamic Instabilities and Pattern Formation in Diffusive Epidemic Spread
The COVID-19 pandemic has refocused research on mathematical modeling and analysis of
epidemic dynamics. We analytically investigate a partial differential equation (PDE) based …
epidemic dynamics. We analytically investigate a partial differential equation (PDE) based …