Please use this identifier to cite or link to this item: https://hdl.handle.net/1959.11/19661
Title: Modelling the spatiotemporal spread and control of viral disease in livestock using a hybrid equation-based and agent-based approach
Contributor(s): Bradhurst, Richard Alan  (author); Kwan, Paul  (supervisor); Garner, Graeme (supervisor); Sajeev, Abudulkadir  (supervisor)
Conferred Date: 2016
Copyright Date: 2015
Open Access: Yes
Handle Link: https://hdl.handle.net/1959.11/19661
Abstract: This thesis presents the Australian Animal DISease (AADIS) model - a new disease modelling approach to support emergency livestock disease preparedness and planning in Australia. AADIS expands the livestock disease modelling capabilities of the Australian Government Department of Agriculture and Water Resources from regional to national-scale. The test case disease for AADIS is foot-and-mouth disease (FMD), which is well-known for its contagiousness and economic importance.
Publication Type: Thesis Doctoral
Fields of Research (FoR) 2008: 080309 Software Engineering
080110 Simulation and Modelling
080303 Computer System Security
Fields of Research (FoR) 2020: 461201 Automated software engineering
460207 Modelling and simulation
460499 Cybersecurity and privacy not elsewhere classified
Socio-Economic Objective (SEO) 2008: 890201 Application Software Packages (excl. Computer Games)
Socio-Economic Objective (SEO) 2020: 220401 Application software packages
Rights Statement: Copyright 2015 - Richard Alan Bradhurst
HERDC Category Description: T2 Thesis - Doctorate by Research
Publisher/associated links: http://www.mssanz.org.au/modsim2013/A6/bradhurst.pdf
Appears in Collections:Thesis Doctoral

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