Kinetic models for epidemic dynamics with social heterogeneity
We introduce a mathematical description of the impact of the number of daily contacts in the
spread of infectious diseases by integrating an epidemiological dynamics with a kinetic …
spread of infectious diseases by integrating an epidemiological dynamics with a kinetic …
Time-averaging and nonergodicity of reset geometric Brownian motion with drift
How do near-bankruptcy events in the past affect the dynamics of stock-market prices in the
future? Specifically, what are the long-time properties of a time-local exponential growth of …
future? Specifically, what are the long-time properties of a time-local exponential growth of …
Optimal control of epidemic spreading in the presence of social heterogeneity
The spread of COVID-19 has been thwarted in most countries through non-pharmaceutical
interventions. In particular, the most effective measures in this direction have been the stay …
interventions. In particular, the most effective measures in this direction have been the stay …
Kinetic modelling of epidemic dynamics: social contacts, control with uncertain data, and multiscale spatial dynamics
In this survey we report some recent results in the mathematical modelling of epidemic
phenomena through the use of kinetic equations. We initially consider models of interaction …
phenomena through the use of kinetic equations. We initially consider models of interaction …
Using large-scale sensor data to test factors predictive of perseverance in home movement rehabilitation: optimal challenge and steady engagement
Persevering with home rehabilitation exercise is a struggle for millions of people in the US
each year. A key factor that may influence motivation to engage with rehabilitation exercise …
each year. A key factor that may influence motivation to engage with rehabilitation exercise …
A data-driven epidemic model with social structure for understanding the COVID-19 infection on a heavily affected Italian Province
In this work, using a detailed dataset furnished by National Health Authorities concerning the
Province of Pavia (Lombardy, Italy), we propose to determine the essential features of the …
Province of Pavia (Lombardy, Italy), we propose to determine the essential features of the …
Control of tumor growth distributions through kinetic methods
The mathematical modeling of tumor growth has a long history, and has been
mathematically formulated in several different ways. Here we tackle the problem in the case …
mathematically formulated in several different ways. Here we tackle the problem in the case …
Characterising driver heterogeneity within stochastic traffic simulation
Drivers' heterogeneity and the broad range of vehicle characteristics on public roads are
primarily responsible for the stochasticity observed in road traffic dynamics. Understanding …
primarily responsible for the stochasticity observed in road traffic dynamics. Understanding …
Non-Maxwellian kinetic equations modeling the dynamics of wealth distribution
G Furioli, A Pulvirenti, E Terraneo… - Mathematical Models and …, 2020 - World Scientific
We introduce a class of new one-dimensional linear Fokker–Planck-type equations
describing the dynamics of the distribution of wealth in a multi-agent society. The equations …
describing the dynamics of the distribution of wealth in a multi-agent society. The equations …
Mean-performance of sharp restart I: statistical roadmap
I Eliazar, S Reuveni - Journal of Physics A: Mathematical and …, 2020 - iopscience.iop.org
Restart is a general framework, of prime importance and wide applicability, for expediting
first-passage times and completion times of general stochastic processes. Restart protocols …
first-passage times and completion times of general stochastic processes. Restart protocols …