Event Abstract Back to Event Epidemiological principles applied to design of detection/ delimitation surveys for aquatic pests and diseases Anjali Pande1*, Hernando Acosta2 and Naya A. Brangenberg1 1 Ministry for Primary Industries, Biosecurity, New Zealand 2 Ministry for Primary Industries, New Zealand Surveillance for aquatic animal diseases can be challenging given the lack of boundaries in a fluid environment and often limited baseline knowledge about the demographics and spatial clustering of the organisms in question. Hydrodynamic modelling presents a way to estimate an epidemiologic unit based on probability of exposure. The authors have successfully used this technique to design spread models for OsHV-µ1 in New Zealand (Pande, et al, 2015). The same epidemiological principles applied to surveillance for aquatic animal diseases can also be used to determine the likelihood of establishment/ detection of aquatic pests. Using an incursion of the Mediterranean fanworm (Sabella spallanzanii), an unwanted and notifiable organism under the New Zealand Biosecurity Act 1993, into a new area in New Zealand, as an example we show how epidemiological risk based principles can be used to design a robust detection/ delimitation survey. The design of the detection/ delimitation surveys used predefined zones of highest potential larval propagule density, and an arbitrary survey boundary was delineated, based on modelling the hydrodynamics of the Coromandel harbour. These zones were identified by overlaying suitable habitat for Sabella and the hydrodynamic dispersal pattern from the cleaning location in ARC GIS. The dispersal pattern was based on the results of a validated lagrangian model run for the two weeks following the cleaning operation. Habitat suitability was defined based on expert opinion elicited using the Analytical Hierarchy Process (AHP) technique and a self-administrated questionnaire. The zones were then assigned a risk ranking. Sampling sites were proportionately allocated to the different zones taking into account the estimated search efficiency (specificity) of the field team and the assumed density (sensitivity) of Sabella. Since this method incorporates habitat type, hydrodynamics and characteristics such as search efficiency and assumed density (or sensitivity and specificity) specific to a given situation, it can be employed in many different circumstances to develop delimitation or detection surveys for marine pests or diseases. References References Cited: Pande, A, Acosta, H, Brangenberg, N.A and Keeling, S.E. 2015. Design of a detection survey for Ostreid herpesvirus -1 using hydrodynamic dispersion models to determine epidemiological units. Preventive Veterinary Medicine 119; 80-84. http://dx.doi.org/10.1016/j.prevetmed.2015.02.009 Other relevant references: Peeler E.J, Taylor, N.G.H, 2011. The application of epidemiology in aquatic animal health –opportunities and challenges. Veterinary Research. 42; 94. Keywords: Hydrodynamic dispersion, surveillance, Risk based, Ostreid herpesvirus, meditteranean fanworm, Aquatic epidemiology Conference: AquaEpi I - 2016, Oslo, Norway, 20 Sep - 22 Sep, 2016. Presentation Type: Oral Topic: Aquatic Animal Epidemiology Citation: Pande A, Acosta H and Brangenberg NA (2016). Epidemiological principles applied to design of detection/ delimitation surveys for aquatic pests and diseases. Front. Vet. Sci. Conference Abstract: AquaEpi I - 2016. doi: 10.3389/conf.FVETS.2016.02.00040 Copyright: The abstracts in this collection have not been subject to any Frontiers peer review or checks, and are not endorsed by Frontiers. They are made available through the Frontiers publishing platform as a service to conference organizers and presenters. The copyright in the individual abstracts is owned by the author of each abstract or his/her employer unless otherwise stated. Each abstract, as well as the collection of abstracts, are published under a Creative Commons CC-BY 4.0 (attribution) licence (https://creativecommons.org/licenses/by/4.0/) and may thus be reproduced, translated, adapted and be the subject of derivative works provided the authors and Frontiers are attributed. For Frontiers’ terms and conditions please see https://www.frontiersin.org/legal/terms-and-conditions. Received: 29 Apr 2016; Published Online: 14 Sep 2016. * Correspondence: Dr. Anjali Pande, Ministry for Primary Industries, Biosecurity, Wellington, Wellington, 5018, New Zealand, Anjali.Pande@maf.govt.nz Login Required This action requires you to be registered with Frontiers and logged in. To register or login click here. 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