Please use this identifier to cite or link to this item: http://hdl.handle.net/1893/30008
Appears in Collections:Aquaculture Journal Articles
Peer Review Status: Refereed
Title: Network structure and risk-based surveillance algorithms for live shrimp movements in Thailand
Author(s): Saleetid, Nattakan
Green, Darren M
Keywords: AHPND
graph theory
risk‐based surveillance
Issue Date: Nov-2019
Citation: Saleetid N & Green DM (2019) Network structure and risk-based surveillance algorithms for live shrimp movements in Thailand. Transboundary and Emerging Diseases, 66 (6), pp. 2450-2461. https://doi.org/10.1111/tbed.13303
Abstract: Live shrimp movements pose a potential route for site‐to‐site transmission of acute hepatopancreatic necrosis disease (AHPND) and other shrimp diseases. We present the first application of network theory to study shrimp epizootiology, providing quantitative information about the live shrimp movement network of Thailand (LSMN), and supporting practical and policy implementations of disease surveillance and control measures. We examined the LSMN over a 13‐month period from March 2013 to March 2014, with data obtained from the Thailand Department of Fisheries. The LSMN had a mixture of characteristics both limiting and facilitating disease spread. Importantly, the LSMN exhibited power‐law distributions of in and out degrees with exponents of 2.87 and 2.17, respectively. This characteristic indicates that the LSMN behaves like a scale‐free network and suggests that an effective strategy to control disease spread in the Thai shrimp farming sector can be achieved by removing a small number of targeted inter‐site connections (arcs between nodes). Specifically, a disease‐control algorithm based on betweenness centrality (defined as the number of shortest paths between node pairs that traverse a given arc) is proposed here to prioritize targets for disease surveillance and control measures.
DOI Link: 10.1111/tbed.13303
Rights: This item has been embargoed for a period. During the embargo please use the Request a Copy feature at the foot of the Repository record to request a copy directly from the author. You can only request a copy if you wish to use this work for your own research or private study. This is the peer reviewed version of the following article: Saleetid, N, Green, DM. Network structure and risk‐based surveillance algorithms for live shrimp movements in Thailand. Transboundary & Emerging Diseases 2019; 66: 2450– 2461, which has been published in final form at https://doi.org/10.1111/tbed.13303. This article may be used for non-commercial purposes in accordance with Wiley Terms and Conditions for self-archiving.
Licence URL(s): https://storre.stir.ac.uk/STORREEndUserLicence.pdf

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