Eleonora Franzago, Alessia Cocco, Marica Toson, Claudia Casarotto, Mirko Ruzza, Grazia Manca, Elena Barbagli, Loris Lunardi, Azzurra Callegaro, Michele Brichese, Paolo Valeri, Giuseppe Cherubini, Antonio Gottardo, Licia Ravarotto, Giuseppe Arcangeli, Manuela Dalla Pozza, Laura Bille

Proceedings of the 13th International Multi-Conference on Complexity, Informatics and Cybernetics: IMCIC 2022, Vol. I, pp. 110-113 (2022); https://doi.org/10.54808/IMCIC2022.01.110

Eleonora Franzago
Istituto Zooprofilattico Sperimentale delle Venezie, Legnaro (PD), Italy

Alessia Cocco
Istituto Zooprofilattico Sperimentale delle Venezie, Legnaro (PD), Italy

Marica Toson
Istituto Zooprofilattico Sperimentale delle Venezie, Legnaro (PD), Italy

Claudia Casarotto
Istituto Zooprofilattico Sperimentale delle Venezie, Legnaro (PD), Italy

Mirko Ruzza
Istituto Zooprofilattico Sperimentale delle Venezie, Legnaro (PD), Italy

Grazia Manca
Istituto Zooprofilattico Sperimentale delle Venezie, Legnaro (PD), Italy

Elena Barbagli
Istituto Zooprofilattico Sperimentale delle Venezie, Legnaro (PD), Italy

Loris Lunardi
Istituto Zooprofilattico Sperimentale delle Venezie, Legnaro (PD), Italy

Azzurra Callegaro
Istituto Zooprofilattico Sperimentale delle Venezie, Legnaro (PD), Italy

Michele Brichese
Veneto Region, Sanità Animale e Farmaci Veterinari, Venezia (VE), Italy

Paolo Valeri
Flag Veneziano, VeGal, Portogruaro (VE), Italy

Giuseppe Cherubini
Veneto Region, Direzione Agroambiente, Programmazione e Gestione Ittica e Faunistico Venatoria, Venezia (VE), Italy

Antonio Gottardo
Flag Veneziano, VeGal, Portogruaro (VE), Italy

Licia Ravarotto
Istituto Zooprofilattico Sperimentale delle Venezie, Legnaro (PD), Italy

Giuseppe Arcangeli
Istituto Zooprofilattico Sperimentale delle Venezie, Legnaro (PD), Italy

Manuela Dalla Pozza
Istituto Zooprofilattico Sperimentale delle Venezie, Legnaro (PD), Italy

Laura Bille
Istituto Zooprofilattico Sperimentale delle Venezie, Legnaro (PD), Italy

Cite this paper as:
Franzago, E., Cocco, A., Toson, M., Casarotto, C., Ruzza, M., Manca, G., Barbagli, E., Lunardi, L., Callegaro, A., Brichese, M., Valeri, P., Cherubini, G., Gottardo, A., Ravarotto, L., Arcangeli, G., Dalla Pozza, M., Bille, L. (2022). "Ambiti Bivalvi Veneto", the Website Dedicated to the Sanitary Status of Bivalve Molluscs Production Areas in Veneto Region. In N. Callaos, J. Horne, B. Sánchez, M. Savoie, Y. Wang (Eds.), Proceedings of the 13th International Multi-Conference on Complexity, Informatics and Cybernetics: IMCIC 2022, Vol. I, pp. 110-113. International Institute of Informatics and Cybernetics. https://doi.org/10.54808/IMCIC2022.01.110

Bivalve molluscs (BM) are animals that grow through the filtration of organic substances dissolved in water. Because of this characteristic, they can accidentally accumulate contaminants, both of anthropic and zootechnical derivation or naturally present in the aquatic environment, with potential harmful consequences to humans. Considering that BM can be consumed raw or lightly cooked, it is essential to guarantee their safety, which largely depends on the quality of the water in which they live. For this purpose, the BM production areas have to be constantly monitored by the Local Veterinary Competent Authority (LVCA), through regular sampling activities performed in all the sites in order to verify the compliance of the product according to the parameters established by the current European food hygiene legislation. Whenever the results of the controls highlight non-compliance with the regulatory requirements, the LVCA issues a measure to limit harvesting activities in the involved area, until further inspection certifies that compliance has been restored. In order to allow the rapid spread among the stakeholders (competent authorities, food business operator and consumers) of relevant sanitary information generated by official controls on BM production areas in the Veneto region (north-eastern Italy), a dedicated free-access website has been developed.