Please use this identifier to cite or link to this item:
https://hdl.handle.net/1959.11/18291
Title: | Improving the computational efficiency of an agent-based spatiotemporal model of livestock disease spread and control | Contributor(s): | Bradhurst, Richard A (author); Roche, S E (author); East, I J (author); Kwan, Paul H (author); Garner, M G (author) | Publication Date: | 2016 | DOI: | 10.1016/j.envsoft.2015.11.015 | Handle Link: | https://hdl.handle.net/1959.11/18291 | Abstract: | Agent-based models (ABMs) are well suited to representing the spatiotemporal spread and control of disease in a population. The explicit modelling of individuals in a large population, however, can be computationally intensive, especially when models are stochastic and/or spatially-explicit. Large-scale ABMs often require a highly parallel platform such as a high-performance computing cluster, which tends to confine their utility to university, defence and scientific research environments. This poses a challenge for those interested in modelling the spread of disease on a large scale with access only to modest hardware platforms. The Australian Animal DISease (AADIS) model is a spatiotemporal ABM of livestock disease spread and control. The AADIS ABM is able to complete complex national-scale simulations of disease spread and control on a personal computer. Computational efficiency is achieved through a hybrid model architecture that embeds equation-based models inside herd agents, an asynchronous software architecture, and a grid-based spatial indexing scheme. | Publication Type: | Journal Article | Source of Publication: | Environmental Modelling & Software, v.77, p. 1-12 | Publisher: | Pergamon Press | Place of Publication: | Oxford, United Kingdom | ISSN: | 1873-6726 1364-8152 |
Field of Research (FOR): | 070704 Veterinary Epidemiology 080102 Artificial Life 080110 Simulation and Modelling |
Peer Reviewed: | Yes | HERDC Category Description: | C1 Refereed Article in a Scholarly Journal | Statistics to Oct 2018: | Visitors: 230 Views: 283 Downloads: 0 |
Appears in Collections: | Journal Article |
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