Loading...
Network Meta-Metrics: Using Evolutionary Computation to Identify Effective Indicators of Epidemiological Vulnerability in a Livestock Production System Model
Wiltshire, Serge Zia, Asim Koliba, Christopher Bucini, Gabriela Clark, Eric Merrill, Scott Smith, Julie Moegenburg, Susan
Wiltshire, Serge
Zia, Asim
Koliba, Christopher
Bucini, Gabriela
Clark, Eric
Merrill, Scott
Smith, Julie
Moegenburg, Susan
Citations
Altmetric:
Abstract
We developed an agent-based susceptible/infective model which simulates disease incursions in the hog production chain networks of three U.S. states. Agent parameters, contact network data, and epidemiological spread patterns are output after each model run. Key network metrics are then calculated, some of which pertain to overall network structure, and others to each node's positionality within the network. We run statistical tests to evaluate the extent to which each network metric predicts epidemiological vulnerability, finding significant correlations in some cases, but no individual metric that serves as a reliable risk indicator. To investigate the complex interactions between network structure and node positionality, we use a genetic programming (GP) algorithm to search for mathematical equations describing combinations of individual metrics — which we call "meta-metrics" — that may better predict vulnerability. We find that the GP solutions — the best of which combine both global and node-level metrics — are far better indicators of disease risk than any individual metric, with meta-metrics explaining up to 91% of the variability in agent vulnerability across all three study areas. We suggest that this methodology could be applied to aid livestock epidemiologists in the targeting of biosecurity interventions, and also that the meta-metric approach may be useful to study a wide range of complex network phenomena.
Description
Date
2019-03-31
Journal Title
Journal ISSN
Volume Title
Publisher
SimSoc Consortium
Research Projects
Organizational Units
Journal Issue
Keywords
Agent-Based Modeling, Network Analytics, Computational Epidemiology, Evolutionary Computation, Livestock Production
Citation
Wiltshire, Serge, Zia, Asim, Koliba, Christopher, Bucini, Gabriela, Clark, Eric, Merrill, Scott, Smith, Julie and Moegenburg, Susan (2019) 'Network Meta-Metrics: Using Evolutionary Computation to Identify Effective Indicators of Epidemiological Vulnerability in a Livestock Production System Model' Journal of Artificial Societies and Social Simulation 22 (2) 8 <http://jasss.soc.surrey.ac.uk/22/2/8.html>. doi: 10.18564/jasss.3991