A Scoping Review on GIS Technologies Applied to Farmed Fish Health Management

Finfish aquaculture, one of the fastest growing intensive sectors worldwide, is threatened by numerous transmissible diseases that may have devastating impacts on its economic sustainability. This review (2010-2022) used a PRISMA extension for scoping reviews and a text mining approach to explore the extent to which geographical information systems (GIS) are used in farmed fish health management and to unveil the main GIS technologies, databases, and functions used to update the spatiotemporal data underpinning risk and predictive models in aquatic surveillance programmes. After filtering for eligibility criteria, the literature search provided 54 records, highlighting the limited use of GIS technologies for disease prevention and control, as well as the prevalence of GIS application in marine salmonid farming, especially for viruses and parasitic diseases typically associated with these species. The text mining generated five main research areas, underlining a limited range of investigated species, rearing environments, and diseases, as well as highlighting the lack of GIS-based methodologies at the core of such publications. This scoping review provides a source of information for future more detailed literature analyses and outcomes to support the development of geospatial disease spread models and expand in-field GIS technologies for the prevention and mitigation of fish disease epidemics.

Evaluation of the efficacy of a training course in food safety addressed to food charity volunteers

In Italy, the Banco Alimentare Onlus manages a network of 8,000 charitable organizations that distribute 67,000 tons of foodstuffs to 1.6 million needy persons. To provide their volunteers with the required food safety knowledge, the Banco Alimentare del Piemonte Onlus commissioned the Istituto Zooprofilattico Sperimentale del Piemonte, Liguria e Valle d’Aosta to hold training courses in food safety. Before and after each session, the participants completed a questionnaire to evaluate their knowledge on the topic of food safety. The responses were entered in a dedicated database and analyzed using STATA ver. 15.1. Comparison of the scores for each participant before and after training revealed a considerable discordance [ICC 0.06, 95% confidence interval (CI) 0.00-0.18]. Analysis of the post-training questionnaires showed that the number of questions left unanswered decreased and the number of correct answers increased. The difference between the percentage of correct and incorrect responses before and after the training course was statistically significant (P<0.001). Comparison of responses to the pre- and post-training questionnaires provided the data for statistical evaluation of the efficacy of the training course.