Nicola Ferre, Federica Sbettega, Matteo Mazzuccato, Eleonora Franzago, Vasco Menconi, Girogia Angeloni, Giorgia Riuzzi, Stefania Cavallo, Pasquale Rombola, Annamaria Conte, Alessio Di Lorenzo, Susanna Tora, Laura Ferroni, Walter Martelli, Saraya Tavornpanich, Paulette Posen, Grazia Manca

Proceedings of the 27th World Multi-Conference on Systemics, Cybernetics and Informatics: WMSCI 2023, pp. 164-167 (2023); https://doi.org/10.54808/WMSCI2023.01.164

Nicola Ferre
Istituto Zooprofilattico Sperimentale delle Venezie, Italy

Federica Sbettega
Istituto Zooprofilattico Sperimentale delle Venezie, Italy

Matteo Mazzuccato
Istituto Zooprofilattico Sperimentale delle Venezie, Italy

Eleonora Franzago
Istituto Zooprofilattico Sperimentale delle Venezie, Italy

Vasco Menconi
Istituto Zooprofilattico Sperimentale delle Venezie, Italy

Girogia Angeloni
Istituto Zooprofilattico Sperimentale delle Venezie, Italy

Giorgia Riuzzi
Department of Animal Medicine, Production and Health, University of Padova, Italy

Stefania Cavallo
Istituto Zooprofilattico Sperimentale del Mezzogiorno, Italy

Pasquale Rombola
Istituto Zooprofilattico Sperimentale del Lazio e della Toscana, Italy

Annamaria Conte
Istituto Zooprofilattico Sperimentale dell’Abruzzo e del Molise “G. Caporale”, Italy

Alessio Di Lorenzo
Istituto Zooprofilattico Sperimentale dell’Abruzzo e del Molise “G. Caporale”, Italy

Susanna Tora
Istituto Zooprofilattico Sperimentale dell’Abruzzo e del Molise “G. Caporale”, Italy

Laura Ferroni
Istituto Zooprofilattico Sperimentale dell’Umbria e delle Marche “Togo Rosati”, Italy

Walter Martelli
Istituto Zooprofilattico Sperimentale del Piemonte Liguria e Valle d’Aosta, Italy

Saraya Tavornpanich
WOAH Collaborating Centre on Epidemiology and Risk Assessment of Aquatic Animal Diseases, Norwegian Veterinary Institute, Norway

Paulette Posen
WOAH Collaborating Centre for Emerging Aquatic Animal Diseases and FAO Reference Centre for Antimicrobial Resistance, The Centre for Environment, Fisheries and Aquaculture Science, United Kingdom

Grazia Manca
Istituto Zooprofilattico Sperimentale delle Venezie, Italy

Cite this paper as:
Ferre, N., Sbettega, F., Mazzuccato, M., Franzago, E., Menconi, V., Angeloni, G., Riuzzi, G., Cavallo, S., Rombola, P., Conte, A., Di Lorenzo, A., Tora, S., Ferroni, L., Martelli, W., Tavornpanich, S., Posen, P., Manca, G. (2023). How Geographic Information System Can Be Used to Assist Disease Surveillance of Aquatic Organisms in Developing Countries. In N. Callaos, E. Gaile-Sarkane, S. Hashimoto, N. Lace, B. Sánchez, M. Savoie (Eds.), Proceedings of the 27th World Multi-Conference on Systemics, Cybernetics and Informatics: WMSCI 2023, pp. 164-167. International Institute of Informatics and Cybernetics. https://doi.org/10.54808/WMSCI2023.01.164

In many developing countries, the livelihood of the population relies heavily on the fisheries sector, which, therefore, plays a significant role in the socio-economic development of these countries [1]. However, fisheries industry is vulnerable to a wide range of infectious and non–infectious disease outbreaks, which can lead to a partial or total loss of production. An approach based on aquatic disease surveillance and control measures is crucial for the early detection of such outbreaks and to reduce the risk of disease transmission [2]. To ensure the effective implementation of these approaches in developing countries, several elements are required, including human and financial resources, efficient diagnostic laboratory frameworks and technological tools for data analysis, collection and management. Among the available technological tools, the Geographic Information System (GIS) is strategic due to its ability to harness the power of existing data, integrate data from various sources, enable spatial data analysis, and enhance business processes for informed decision-making [3]. The purpose of this paper is to describe typical GIS applications to assist in disease surveillance of aquatic organisms in developing countries.