This survey analyses the role of data-driven methodologies for pandemic modelling and control. We provide a roadmap from the access to epidemiological data sources to the …
Channel networks are key to coastal wetland functioning and resilience under climate change. Vegetation affects sediment and hydrodynamics in many different ways, which calls …
Mathematical models are critical to understand the spread of pathogens in a population and evaluate the effectiveness of non-pharmaceutical interventions (NPIs). A plethora of optimal …
This paper studies a discrete-time time-varying multi-layer networked SIWS (susceptible- infected-water-susceptible) model with multiple resources under both single-virus and …
As the UK, together with numerous countries in the world, moves towards a new phase of the COVID-19 pandemic, there is a need to be able to predict trends in sufficient time to limit …
M Ye, BDO Anderson - IEEE Control Systems Letters, 2022 - ieeexplore.ieee.org
In this letter, we consider an epidemic model for two competitive viruses spreading over a metapopulation network, termed the 'bivirus model'for convenience. The dynamics are …
The impacts of pandemic situation on the health and economy of any nation are indeed significant. Several paradigms are present, where the nations's economy has stumbled due …
MUB Niazi, KH Johansson - 2022 IEEE 61st Conference on …, 2022 - ieeexplore.ieee.org
Although an appropriate choice of measured state variables may ensure observability, designing state observers for the state estimation of epidemic models remains a challenging …
This chapter presents a survey of recent trends in the analysis of open multi-agent systems, where the set of agents is time-varying. We first introduce the notions of arrivals, departures …