Ausvet held three one-day workshops in Puerto Varas on 19, 20 and 21 March, 2018 to engage companies in the risk factor analyses, give updates on the new Research Platform and direct future research priorities.
The workshops were attended by 30 company representatives, researchers, and other industry stakeholders. They represented the continuation of Ausvet’s inclusive approach to research. Participants are considered as research partners and jointly guide the methodological approach, data access, and particularly interpretation of research results.
Analysis of SIFA/INFA data and setting research priorities
Sernpesca’s SIFA and INFA databases hold a wealth of information that may yield new insights into risk factors for SRS and Caligus. Ausvet’s initial analyses were presented in Puerto Varas on Monday, 19th March.
The key advantages of the SIFA and INFA databases are that they contain data about the entire industry, and they are immediately available. Their usefulness for in-depth epidemiological analysis is limited because they contain little detailed information about important risk factors (compared to company databases), but they provide a useful first step in the collaborative process of validating Ausvet’s chosen research methodology, seeking contributions from industry and in setting future research priorities.
SaTScan cluster analysis for SRS in Atlantic Salmon
A series of analytical methodologies were presented and discussed in detail, including descriptive visualisations of the data, spatial and temporal clustering analysis, spatial surface modelling (Krigging), and the analysis of 56 statistical models for SRS and 33 for Caligus, using Information Theoretic approach to identify the supported models to explain disease occurrence.
The model outcomes for SRS found significant associations with: the number of infected sites in the barrio; the level of vaccination; fish density and smolt weight, as well as an interaction with the level of Caligus infestation. There were also significant differences between species, region and stocking season.
The Caligus model results found significant associations with fish density, salinity, degree days and variation between species and region.
The model findings were largely consistent with current SRS and Caligus understanding, and provide an excellent foundation for testing more detailed hypotheses and risk factors in the upcoming research.
A full report is being finalised, translated and will be available on the PIISAC website soon.