Modeling, estimation, and analysis of epidemics over networks: An overview
We present and discuss a variety of mathematical models that have been proposed to
capture the dynamic behavior of epidemic processes. We first present traditional group …
capture the dynamic behavior of epidemic processes. We first present traditional group …
Vegetation controls on channel network complexity in coastal wetlands
Channel networks are key to coastal wetland functioning and resilience under climate
change. Vegetation affects sediment and hydrodynamics in many different ways, which calls …
change. Vegetation affects sediment and hydrodynamics in many different ways, which calls …
Analysis, prediction, and control of epidemics: A survey from scalar to dynamic network models
During the ongoing COVID-19 pandemic, mathematical models of epidemic spreading have
emerged as powerful tools to produce valuable predictions of the evolution of the pandemic …
emerged as powerful tools to produce valuable predictions of the evolution of the pandemic …
[HTML][HTML] Comparing the accuracy of several network-based COVID-19 prediction algorithms
Researchers from various scientific disciplines have attempted to forecast the spread of the
Coronavirus Disease 2019 (COVID-19). The proposed epidemic prediction methods range …
Coronavirus Disease 2019 (COVID-19). The proposed epidemic prediction methods range …
Network reconstruction and prediction of epidemic outbreaks for general group-based compartmental epidemic models
B Prasse, P Van Mieghem - IEEE Transactions on Network …, 2020 - ieeexplore.ieee.org
The underlying core of most epidemic models is the graph that specifies the contacts
between healthy and infected individuals. However, in the majority of applications, the …
between healthy and infected individuals. However, in the majority of applications, the …
A closed-loop framework for inference, prediction, and control of SIR epidemics on networks
Motivated by the ongoing pandemic COVID-19, we propose a closed-loop framework that
combines inference from testing data, learning the parameters of the dynamics and optimal …
combines inference from testing data, learning the parameters of the dynamics and optimal …
Time-dependent solution of the NIMFA equations around the epidemic threshold
B Prasse, P Van Mieghem - Journal of mathematical biology, 2020 - Springer
The majority of epidemic models are described by non-linear differential equations which do
not have a closed-form solution. Due to the absence of a closed-form solution, the …
not have a closed-form solution. Due to the absence of a closed-form solution, the …
Impacts of game-theoretic activation on epidemic spread over dynamical networks
We investigate the evolution of epidemics over dynamical networks when nodes choose to
interact with others in a selfish and decentralized manner. Specifically, we analyze the …
interact with others in a selfish and decentralized manner. Specifically, we analyze the …
Networked multi-virus spread with a shared resource: Analysis and mitigation strategies
The paper studies multi-competitive continuous-time epidemic processes in the presence of
a shared resource. We consider the setting where multiple viruses are simultaneously …
a shared resource. We consider the setting where multiple viruses are simultaneously …
Graphon-based sensitivity analysis of SIS epidemics
In this letter, we use the spectral properties of graphons to study stability and sensitivity to
noise of deterministic SIS epidemics over large networks. We consider the presence of …
noise of deterministic SIS epidemics over large networks. We consider the presence of …