Abstract
Event Abstract Back to Event Spatial epidemiology of Bacterial Kidney Disease (BKD) in farmed salmon in Chile Natalia Zimin-Veselkoff1, Fernando Mardones1* and Mario Alvarado-Rybak1 1 Pontifical Catholic University of Chile, Chile Bacterial Kidney Disease (BKD) is a chronic infection caused by Renibacterium salmoninarum (Rs). BKD has been reported affecting wild and farmed salmon in most salmon farming regions worldwide. In Chile, the second largest salmon producer in the world, the prevalence of BKD has been steadily increasing during the last years. In this study, we aimed at characterizing the spatial patterns of the occurrence of the disease in both fresh and salt water farms. From January 2014 to April 2019, we used official surveillance data from broodstock Rs-screening, passive surveillance reports from diagnostic tests for Rs, and data from reported BKD-specific mortality, including all salmon farms. In addition to descriptive epidemiological analysis, we used a Bernoulli model through the scan test to identify local spatio-temporal clusters. The scan test was carried out separately for fresh and salt water farms. The overall proportion of BKD-farms was 70.3%, being those farms randomly distributed throughout the country (Fig. 1). A number of significant spatio-temporal clusters were only identified during the growth-out farming stages (i.e., salt water farms). This extensive study is the first to describe the epidemiology of BKD, which preliminary results indicate that different transmission processes may occur and prevail in fresh water and salt water farms. Figure 1 Acknowledgements This study was supported by CONICYT-Chile through the project FONDECYT 1191675 Keywords: farmed salmon, Aquaculture, Renibacterium salmonarium, Bacterial Kidney Disease, Spatio-Temporal Analysis Conference: GeoVet 2019. Novel spatio-temporal approaches in the era of Big Data, Davis, United States, 8 Oct - 10 Oct, 2019. Presentation Type: Regular oral presentation Topic: Spatial data sources, open data, accessibility and information integration Citation: Zimin-Veselkoff N, Mardones F and Alvarado-Rybak M (2019). Spatial epidemiology of Bacterial Kidney Disease (BKD) in farmed salmon in Chile. Front. Vet. Sci. Conference Abstract: GeoVet 2019. Novel spatio-temporal approaches in the era of Big Data. doi: 10.3389/conf.fvets.2019.05.00093 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: 10 Jun 2019; Published Online: 27 Sep 2019. * Correspondence: Mx. Fernando Mardones, Pontifical Catholic University of Chile, Santiago, Chile, femardones@uc.cl Login Required This action requires you to be registered with Frontiers and logged in. To register or login click here. Abstract Info Abstract The Authors in Frontiers Natalia Zimin-Veselkoff Fernando Mardones Mario Alvarado-Rybak Google Natalia Zimin-Veselkoff Fernando Mardones Mario Alvarado-Rybak Google Scholar Natalia Zimin-Veselkoff Fernando Mardones Mario Alvarado-Rybak PubMed Natalia Zimin-Veselkoff Fernando Mardones Mario Alvarado-Rybak Related Article in Frontiers Google Scholar PubMed Abstract Close Back to top Javascript is disabled. Please enable Javascript in your browser settings in order to see all the content on this page.
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Disclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.