Understanding Contagion Dynamics through Microscopic Processes in Active Brownian Particles
arXiv:2007.13220 · doi:10.1038/s41598-020-77860-y
Abstract
Together with the universally recognized SIR model, several approaches have been employed to understand the contagious dynamics of interacting particles. Here, Active Brownian particles (ABP) are introduced to model the contagion dynamics of living agents that spread an infectious disease in space and time. Simulations were performed for several population densities and contagious rates. Our results show that ABP not only reproduces the time dependence observed in traditional SIR models, but also allows us to explore the critical densities, contagious radius, and random recovery times that facilitate the virus spread. Furthermore, we derive a first-principles analytical expression for the contagion rate in terms of microscopic parameters, without the assumption of free parameters as the classical SIR-based models. This approach offers a novel alternative to incorporate microscopic processes into the analysis of SIR-based models with applications in a wide range of biological systems
arXiv comment8 pages, 5 figures, 2 methods
References in corpus (30)
- Novel type of phase transition in a system of self-driven particles
- Active Particles in Complex and Crowded Environments
- Motility-Induced Phase Separation
- Spontaneous motion in hierarchically assembled active matter
- Modeling the scaling properties of human mobility
- Dynamical clustering and phase separation in suspensions of self-propelled colloidal particles
- Active Brownian Particles. From Individual to Collective Stochastic Dynamics
- Fluid dynamics of bacterial turbulence
- Emergent behavior in active colloids
- Phase behaviour of active Brownian particles: The role of dimensionality
- Computational models for active matter
- Phototaxis of synthetic microswimmers in optical landscapes
- Minimal model for active nematics: quasi-long-range order and giant fluctuations
- Freezing and phase separation of self-propelled disks
- Irreversibility in active matter systems: Fluctuation theorem and mutual information
- Collective Motion of Moshers at Heavy Metal Concerts
- Long-range nematic order and anomalous fluctuations in suspensions of swimming filamentous bacteria
- Modelling Collective Opinion Formation by Means of Active Brownian Particles
- Vortex arrays and ciliary tangles underlie the feeding-swimming tradeoff in starfish larvae
- Estimating the infection horizon of COVID-19 in eight countries with a data-driven approach
- Effects of social distancing and isolation on epidemic spreading: a dynamical density functional theory model
- Which Interactions Dominate in Active Colloids?
- Phase transition to large scale coherent structures in 2d active matter turbulence
- Scaling of the propagation of epidemics in a system of mobile agents
- Nutrient transport driven by microbial active carpets
- Wetting Transitions Displayed by Persistent Active Particles
- Information and motility exchange in collectives of active particles
- Capillary action in scalar active matter
- Reaction processes among self-propelled particles
- Membranes for spontaneous separation of pedestrian counter flows
Cited by in corpus (7)
- Using Active Matter to Introduce Spatial Heterogeneity to the Susceptible-Infected-Recovered Model of Epidemic Spreading
- Epidemic processes on self-propelled particles: continuum and agent-based modelling
- Transition from Susceptible-Infected to Susceptible-Infected-Recovered Dynamics in a Susceptible-Cleric-Zombie-Recovered Active Matter Model
- Contact statistics in populations of noninteracting random walkers in two dimensions
- Mutation induced infection waves in diseases like COVID-19
- The influence of active agent motility on SIRS epidemiological dynamics
- Wave front propagation in the Active Coagulation Model