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. 2023 Nov 15;13(22):3525.
doi: 10.3390/ani13223525.

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

Tiziano Dorotea  1 , Giorgia Riuzzi  2 , Eleonora Franzago  1 , Paulette Posen  3 , Saraya Tavornpanich  4 , Alessio Di Lorenzo  5 , Laura Ferroni  6 , Walter Martelli  7 , Matteo Mazzucato  1 , Grazia Soccio  1 , Severino Segato  2 , Nicola Ferrè  1
Affiliations

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

Tiziano Dorotea et al. Animals (Basel). .

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.

Keywords: GIS methods; disease; farmed fish; health management; risk mapping; risk modelling; scoping review; surveillance.

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Conflict of interest statement

The authors declare no conflict of interest.

Figures

Figure 1
Figure 1
Preferred reporting items for systematic reviews and meta-analyses for scoping review (PRISMA-ScR) workflow used for the literature search surrounding GIS implementation for farmed fish health management.
Figure 2
Figure 2
Yearly (a) and geographical (b) distributions of the 54 selected records.
Figure 3
Figure 3
Proportions of investigated species within each country.
Figure 4
Figure 4
Proportions of pathological agents within species.
Figure 5
Figure 5
Proportions of pathological agents within environments.
Figure 6
Figure 6
Histogram representation of the most relevant word stems within five identified research areas (beta is the probability that a stem belongs to a given research area); tentative assignment of theme titles is as follows: 1. marine intensive fish farming and environment (red), 2. outbreak viruses in salmon marine farming (gold), 3. risk factors for trout diseases (green), 4. disease epidemiology and modelling in salmon farming (blue), and 5. fish rearing management (pink).
Figure 7
Figure 7
Cloud representation of the most relevant word stems in the 54 selected records. The relative importance of the terms is reflected by their size.
See this image and copyright information in PMC

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