Design and implementation of a collaborative epidemiological surveillance system for aquaculture (VECA)

Muniesa, Ana; Ruiz‐Zarzuela, Imanol; Blas, Ignacio de

doi:10.1111/raq.12165

Cited by 3 publications

(3 citation statements)

References 18 publications

(26 reference statements)

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“…'Winter disease' is a metabolic syndrome common in captive sea bream during the cold season; it causes gut dilation with undigested food and necrotic-haemorrhagic debris, which can sometimes be lethal. 47,48 Another disease commonly detected in S. aurata is lymphocystis, a self-limiting viral disorder that usually occurs in sites less exposed to the immune system. 49 Non-infectious systemic granulomatosis, found in 40 A. regius in our experiment, is a nutritional disorder that is often detectable in coelomic organs of meagre less than 2 years in age.…”

Section: Discussionmentioning

confidence: 99%

“…‘Winter disease’ is a metabolic syndrome common in captive sea bream during the cold season; it causes gut dilation with undigested food and necrotic-haemorrhagic debris, which can sometimes be lethal. 47,48 Another disease commonly detected in S. aurata is lymphocystis, a self-limiting viral disorder that usually occurs in sites less exposed to the immune system. 49…”

Section: Discussionmentioning

confidence: 99%

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Occurrence of diseases in fish used for experimental research

et al. 2019

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The objective of the present study was to evaluate the occurrence of pathogens and diseases in laboratory fish over a 10-year period at the Centre for Experimental Fish Pathology of Sicily, University of Messina. This report also emphasizes the adverse effects of subclinical infections on research endpoints, as well as the importance of animal health with respect to welfare. Infections in fish used for research can alter experimental outcomes, increase the variability of data, and impede experimental reproducibility. For this purpose, 411 diseased fish of different species (out of a total of 2820 fish) that belonged to four marine species ( Dicentrarchus labrax, Sparus aurata, Argyrosomus regius and Mugil cephalus) and to four fresh water species ( Danio rerio, Carassius auratus, Xiphophorus variatus and Poecilia reticulata) were examined in this study. Our results showed that mycobacteriosis and myxosporidiosis were the most important diseases found in our research fish, and the results represent a useful tool to obtain wider knowledge on the incidence of various diseases in different fish species. Further studies in this field are necessary to improve knowledge on the state of the health of fish used for research.

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Section: Discussionmentioning

confidence: 99%

Section: Discussionmentioning

confidence: 99%

Occurrence of diseases in fish used for experimental research

et al. 2019

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“…In [4], the project VECA was developed with the goal to improve the surveillance aquaculture system in the Spanish aquaculture sector. The proposed approach aimed at the creation of an interactive and participatory disease surveillance system for aquaculture in Spain and it can identify and characterize diseases laying the groundwork for preventing future diseases that could cause significant economic losses.…”

Section: Introductionmentioning

confidence: 99%

An Integrated GIS-Based Reinforcement Learning Approach for Efficient Prediction of Disease Transmission in Aquaculture

Karras,

Sioutas

et al. 2023

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This study explores the design and capabilities of a Geographic Information System (GIS) incorporated with an expert knowledge system, tailored for tracking and monitoring the spread of dangerous diseases across a collection of fish farms. Specifically targeting the aquacultural regions of Greece, the system captures geographical and climatic data pertinent to these farms. A feature of this system is its ability to calculate disease transmission intervals between individual cages and broader fish farm entities, providing crucial insights into the spread dynamics. These data then act as an entry point to our expert system. To enhance the predictive precision, we employed various machine learning strategies, ultimately focusing on a reinforcement learning (RL) environment. This RL framework, enhanced by the Multi-Armed Bandit (MAB) technique, stands out as a powerful mechanism for effectively managing the flow of virus transmissions within farms. Empirical tests highlight the efficiency of the MAB approach, which, in direct comparisons, consistently outperformed other algorithmic options, achieving an impressive accuracy rate of 96%. Looking ahead to future work, we plan to integrate buffer techniques and delve deeper into advanced RL models to enhance our current system. The results set the stage for future research in predictive modeling within aquaculture health management, and we aim to extend our research even further.

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Eliciting expert opinion on GIS use for surveillance and disease response in the aquatic animal health domain

Riuzzi,

Sbettega,

Tavornpanich

et al. 2024

Front. Mar. Sci.

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Since the 1980s, Geographical Information Systems (GIS) have been integrated into animal farming technologies for purposes such as enhancing production performances and veterinary epidemiology. In aquaculture, however, there seems to be limited application of GIS, and its potential is widely overlooked, especially for aquatic animal health management. This study describes the results of a world expert opinion elicitation on the current implementation of GIS for surveillance and disease response in the aquatic animal health domain. An online survey was submitted in autumn 2023, including both closed and open questions. With a response rate of 41.2% (21 out of 51), the answer analysis highlighted that, especially when knowledge and practical skills in geomatics, information technology and remote sensing are required, a group of advanced GIS technologies is underutilized (web-based solutions, SDI, citizen science). An artificial intelligence-based inductive text analysis was performed confirming a limited exploitation of GIS mainly due to management (financial support, training, collaboration) and methodology (data suitability, modelling analyses and integration) constraints. Furthermore, despite acknowledging the importance of planning in GIS project development, most experts did not follow any written or unwritten procedures that, according to their answers, should in fact encompass sustainable principles (integration of GIS solutions into other applications or processes), and reuse of resources (guidelines and best practices, data, methods, layouts). Shared guidelines for developing GIS projects, identifying available data sources, and long-term-maintenance planning of GIS and related geospatial data, should be pursued for using GIS technologies more effectively in the aquatic animal health domain.

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Design and implementation of a collaborative epidemiological surveillance system for aquaculture (VECA)

Cited by 3 publications

References 18 publications

Occurrence of diseases in fish used for experimental research

Occurrence of diseases in fish used for experimental research

An Integrated GIS-Based Reinforcement Learning Approach for Efficient Prediction of Disease Transmission in Aquaculture

Eliciting expert opinion on GIS use for surveillance and disease response in the aquatic animal health domain

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