Hydrodynamic connectivity, water temperature, and salinity are major drivers of piscirickettsiosis prevalence and transmission among salmonid farms in Chile
| Autor: | Mike Herzfeld, Fernando O. Mardones, Rodrigo H. Bustamante, J. P. S. Sidhu, B. Gorton, Scott A. Condie, F. Bravo, P. Bernal, Farhan Rizwi, Daniel E. Jimenez, Andrew D. L. Steven |
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| Jazyk: | angličtina |
| Rok vydání: | 2020 |
| Předmět: |
0303 health sciences
Ecology animal diseases SH1-691 04 agricultural and veterinary sciences Management Monitoring Policy and Law Aquatic Science law.invention Salinity Fishery 03 medical and health sciences Transmission (mechanics) law Water temperature 040102 fisheries Aquaculture. Fisheries. Angling 0401 agriculture forestry and fisheries Environmental science QH540-549.5 030304 developmental biology Water Science and Technology Piscirickettsiosis |
| Zdroj: | Aquaculture Environment Interactions, Vol 12, Pp 263-279 (2020) |
| ISSN: | 1869-7534 |
| Popis: | Piscirickettsiosis is one of the most important diseases affecting farmed salmonid in Chile. Several studies have demonstrated the survival of Piscirickettsia salmonis in seawater and the horizontal transmission from infected to non-infected fish; however, the extent of waterborne transmission between farms has not been quantified. In this study, we used a stochastic hydrodynamic connectivity-based disease spread model to determine the role of hydrodynamic connectivity and the effect of seawater temperature and salinity on the dynamics of piscirickettsiosis in the Los Lagos region of Chile. Results demonstrate that environmental dynamics play a major role in disease prevalence. The strongest determinants of piscirickettsiosis prevalence were the number of infected farms in upstream waters and the extent of disease outbreaks in upstream waters (total mortality), followed by seawater salinity and temperature. In farms downstream from infected farms, observed disease prevalence 25 wk into the farming cycle was close to 100%, while in farms with little or no exposure to upstream, infected farms, prevalence reached only ~10% by the end of the farming cycle (Week 56). No previous studies have quantified the scales of connectivity associated with piscirickettsiosis or provided risk metrics of waterborne transmission of the disease among farms; these are a novel aspect of this research. The above knowledge regarding the use of the epidemiological model will allow industry and regulators to better target disease control strategies for more effective control of piscirickettsiosis in the study area. |
| Databáze: | OpenAIRE |
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