2020
DOI: 10.1186/s12917-020-02286-7
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Risk-based scoring and genetic identification for anisakids in frozen fish products from Atlantic FAO areas

Abstract: Background: The presence of Anisakis larvae in fish represents a major public health concern. Effective risk management procedures should be applied to prevent heavily infected products from reaching the market. The aim of the study is to provide preliminary data on parasite exposure and risk classification in frozen fish products by applying a risk categorization scheme (site, abundance, density and epidemiology -SADE) and Fish Parasite Rating (FPR) method. Fish and cephalopods samples (N = 771) from 5 differ… Show more

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Cited by 15 publications
(9 citation statements)
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“…Therefore, the need to define threshold values to discriminate between marketable and non-marketable products has been pointed out by several authors, e.g. by means of scoring systems such as the fish parasite rating method ( Rodríguez et al, 2018 ; Smaldone et al, 2020 ) or by setting pre-defined thresholds for particular products such as anchovies (e.g. Guardone et al, 2016 , Guardone et al, 2017 ).…”
Section: Discussionmentioning
confidence: 99%
“…Therefore, the need to define threshold values to discriminate between marketable and non-marketable products has been pointed out by several authors, e.g. by means of scoring systems such as the fish parasite rating method ( Rodríguez et al, 2018 ; Smaldone et al, 2020 ) or by setting pre-defined thresholds for particular products such as anchovies (e.g. Guardone et al, 2016 , Guardone et al, 2017 ).…”
Section: Discussionmentioning
confidence: 99%
“…This work is still in his infancy and a database of infection numbers and parameters is needed for multiple fish species to ‘teach’ the artificial intelligence system. Other risk-based systems have also been developed aiming for a more targeted use of candling or of freezing the fish 43 . A first risk categorization scheme has been developed by Llarena-Reino et al 18 calling it the SADE (Site of infection, the Assurance of quality (pathological and commercial), Density of infection, and Epidemiological relevance of the fish species) scoring system.…”
Section: Discussionmentioning
confidence: 99%
“…A. simplex is a common nematode of fishes in this fishing area [ 2 ]. The general prevalence of A. simplex in fish, including fish of economic importance, in FAO 27 is high, up to 60% [ 2 , 69 ]. In fish from FAO area 27, there are also differences in the prevalence of Anisakis depending on the sub-area; for example, the prevalence of anisakids in herring and cod is higher in the southwest and lower in the southeast of the Baltic Sea [ 50 , 61 , 70 ].…”
Section: Discussionmentioning
confidence: 99%