Please use this identifier to cite or link to this item: http://hdl.handle.net/2440/98427
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Type: Journal article
Title: Integrative analysis of the physical transport network into Australia
Author: Cope, R.
Ross, J.
Wittmann, T.
Prowse, T.
Cassey, P.
Citation: PLoS One, 2016; 11(2):e0148831-1-e0148831-16
Publisher: Public Library of Science
Issue Date: 2016
ISSN: 1932-6203
1932-6203
Statement of
Responsibility: 
Robert C. Cope, Joshua V. Ross, Talia A. Wittmann, Thomas A. A. Prowse, Phillip Cassey
Abstract: Effective biosecurity is necessary to protect nations and their citizens from a variety of threats, including emerging infectious diseases, agricultural or environmental pests and pathogens, and illegal wildlife trade. The physical pathways by which these threats are transported internationally, predominantly shipping and air traffic, have undergone significant growth and changes in spatial distributions in recent decades. An understanding of the specific pathways and donor-traffic hotspots created by this integrated physical transport network is vital for the development of effective biosecurity strategies into the future. In this study, we analysed the physical transport network into Australia over the period 1999-2012. Seaborne and air traffic were weighted to calculate a "weighted cumulative impact" score for each source region worldwide, each year. High risk source regions, and those source regions that underwent substantial changes in risk over the study period, were determined. An overall risk ranking was calculated by integrating across all possible weighting combinations. The source regions having greatest overall physical connectedness with Australia were Singapore, which is a global transport hub, and the North Island of New Zealand, a close regional trading partner with Australia. Both those regions with large amounts of traffic across multiple vectors (e.g., Hong Kong), and those with high levels of traffic of only one type (e.g., Bali, Indonesia with respect to passenger flights), were represented among high risk source regions. These data provide a baseline model for the transport of individuals and commodities against which the effectiveness of biosecurity controls may be assessed, and are a valuable tool in the development of future biosecurity policy.
Keywords: Humans; Communicable Diseases; Environmental Monitoring; Models, Theoretical; Indonesia; Australia; New Zealand
Rights: © 2016 Cope et al. This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
RMID: 0030043348
DOI: 10.1371/journal.pone.0148831
Grant ID: http://purl.org/au-research/grants/arc/DP140102319
http://purl.org/au-research/grants/arc/FT0991420
http://purl.org/au-research/grants/arc/FT130100254
Appears in Collections:Mathematical Sciences publications

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