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

Author:

Dorotea Tiziano1ORCID,Riuzzi Giorgia2ORCID,Franzago Eleonora1ORCID,Posen Paulette3ORCID,Tavornpanich Saraya4ORCID,Di Lorenzo Alessio5ORCID,Ferroni Laura6ORCID,Martelli Walter7ORCID,Mazzucato Matteo1ORCID,Soccio Grazia1ORCID,Segato Severino2ORCID,Ferrè Nicola1ORCID

Affiliation:

1. Istituto Zooprofilattico Sperimentale delle Venezie, 35020 Legnaro, Italy

2. Department of Animal Medicine, Production and Health, University of Padova, 35020 Legnaro, Italy

3. Centre for Environment, Fisheries and Aquaculture Science, Weymouth, Dorset DT4 8UB, UK

4. Department of Aquatic Animal Health and Welfare, Norwegian Veterinary Institute, 1433 Ås, Norway

5. Istituto Zooprofilattico Sperimentale dell’Abruzzo e del Molise, 64100 Teramo, Italy

6. Istituto Zooprofilattico Sperimentale dell’Umbria e delle Marche “Togo Rosati”, 06126 Perugia, Italy

7. Istituto Zooprofilattico Sperimentale del Piemonte, Liguria e Valle d’Aosta, 10154 Torino, Italy

Abstract

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.

Funder

Italian Ministry of Health

World Organisation for Animal Health

Publisher

MDPI AG

Subject

General Veterinary,Animal Science and Zoology

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