In this work, we first introduce a class of deterministic epidemic models with varying populations inspired by Arino et al.(2007), the parameterization of two matrices …
In this work investigate the use of stochastic hybrid models, statistical model checking and machine learning to analyze, predict and control the rapid spreading of Covid-19. During the …
H Chen, B Haus, P Mercorelli - Mathematics, 2021 - mdpi.com
Due to the worldwide outbreak of COVID-19, many strategies and models have been put forward by researchers who intend to control the current situation with the given means. In …
Our paper presents three new classes of models: SIR-PH, SIR-PH-FA, and SIR-PH-IA, and states two problems we would like to solve about them. Recall that deterministic …
In this work we study the stability properties of the equilibrium points of deterministic epidemic models with nonconstant population size. Models with nonconstant population …
In this paper, we derive an optimal model for calculating the instantaneous reproduction number, which is an important metric to help in controlling the evolution of epidemics. Our …
A very large class of ODE epidemic models (2.2) discussed in this paper enjoys the property of admitting also an integral renewal formulation, with respect to an" age of infection kernel" …
Computational simulation models have been widely used to study the dynamics of COVID- 19. Among those, bottom-up approaches such as agent-based models (ABMs) can account …
The dynamical equations of the susceptible-infected-recovered/removed (SIR) epidemics model play an important role in predicting and/or analyzing the temporal evolution of …