Use of supercomputers for solving problems of multi-agent percolation clusters growth simulation is considered. An improved version of Hoshen–Kopelman multiprocessing algorithm of percolations cluster multiple labeling is offered. Possibility of detection of the latent periods of epidemics spreading dependencies from probability of an infection of units of population representatives is shown, and a way of threshold values formation when local epidemics can evolve into large-scale pandemics is presented.

High-Performance Computations in Multi-agent Simulation Problems of Percolation Cluster’s Behavior

Mobility on a traditionally static percolation theory model is investigated. The modification of the percolation theory model to incorporate mobility on the model grid enabled the creation of a simple agent-based model (ABM). This resulted in statistically significant findings that the impact of agent density is inversely related to agent mobility. An interactive graphical user interface (GUI) was developed to provide a visual illustration to convey a comprehension of the ABM simulation dynamics. The association between mobility and density is visually illustrated by the interactive GUI, which emphasizes patterns that can provide guidance for research into connectedness or connectivity involving percolation models. One application is mobile network modeling. Visualization is an increasingly desired method used by industry and academia. Visualization is employed in percolation model studies as it quickly narrows down regions of interest that can be further explored using conventional analysis.

Mobile network applications of agent-based model to investigate boundless connectivity threshold

Mobility on a traditionally static percolation theory model was investigated. The modification of the percolation theory model to incorporate mobility on the model grid enabled the creation of a simple agent-based model (ABM). This resulted in statistically significant findings that the impact of agent density is inversely related to agent mobility. An interactive graphical user interface (GUI) was developed to provide a visual illustration to convey an intuitive comprehension of the ABM simulation dynamics and processes. The association between mobility and density is visually illustrated by the interactive GUI, which emphasizes patterns that can provide guidance for research into connectedness or connectivity involving percolation models. One application is epizootic modeling. Visualization is an increasingly desired method used by industry and academia. Visualization is employed in many percolation model studies as it quickly narrows down regions of interest that can be further explored using conventional analysis.

Agent-Based Model with Visualization Tool to Study Boundless Connectivity Threshold

Modeling of epidemic spread within human populations has been an active research area for a considerable time, yet relatively little work has been done in investigating the modeling dynamics of epizootic spread in livestock populations within intensive livestock production operations (ILPOs). Enclosed ILPOs are the standard environment for swine and poultry production in North America, and animal health is a key economic and food safety concern. This article investigates an agent-based model (ABM) overlayed on a modified dynamic percolation model to characterize epizootic spread within a poultry ILPO. The objective of the work was to develop a behavior-based disease modeling framework and, in doing so, to examine the relative impacts of infection longevity and agent mobility on epizootic spread and animal mortality in a poultry ILPO. Initial validation and systematic analysis of the model demonstrated that an ABM built on a regular percolation topology is a reasonable model to capture the macroscopic dynamics of disease transmission in a poultry ILPO. The results indicate that, at low population density, the infection duration has a greater impact on mortality than the impact of animal mobility on mortality. At higher population density, the impact of animal mobility rapidly dominates the impact of infection duration on mortality. The most significant insight arising from the study is that the percolation threshold, where a disease is able to spread throughout the entire ILPO environment, is greatly reduced when mobility is introduced. In other words, in addition to infection duration, animal mobility is a significant factor in accelerating disease spread. These insights and more detailed modeling can inform generalized livestock housing design considerations and management practices that may mitigate epizootic spread in an ILPO.

R. D. McLeod

Papers

Epizootic Agent-Based Modeling: The Mobility Threshold for Disease Spread as a Critical Percolation Phenomenon