Foodborne Norovirus State of Affairs in the EU Rapid Alert System for Food and Feed.
Identifieur interne : 000433 ( Main/Exploration ); précédent : 000432; suivant : 000434Foodborne Norovirus State of Affairs in the EU Rapid Alert System for Food and Feed.
Auteurs : Elias P. Papapanagiotou [Grèce]Source :
- Veterinary sciences [ 2306-7381 ] ; 2017.
Abstract
The European Union Rapid Alert System for Food and Feed (EU RASFF) database is an invaluable instrument for analyzing notifications involving norovirus in food. The aim of this work was to carry out a thorough research of the alert and border rejection notifications submitted in the RASFF database from its onset until 31 August 2017. Some conclusions of interest were: (i) Denmark, France, Italy, the Netherlands and Norway have contributed the majority of alert notifications as notifying countries, (ii) France and Serbia have been cited more often in alert notifications as countries of origin, (iii) Italy and Spain have submitted the majority of border rejection notifications, (iv) Third Countries implicated more frequently in border rejection notifications for norovirus in bivalve molluscs were Vietnam and Tunisia, whereas in fruits and vegetables were China and Serbia, (v) "risk dispersion" from norovirus-contaminated food was narrow since, in just over half of all alert notifications and all of the border rejection notifications, only up to three countries were involved, and (vi) both raw (oysters and berries) and cooked (mussels) food products can present a health risk to consumers. The information retrieved from the RASFF database on norovirus-contaminated food could prove helpful in the planning of future norovirus risk analysis endeavors.
DOI: 10.3390/vetsci4040061
PubMed: 29186840
PubMed Central: PMC5753641
Affiliations:
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Papapanagiotou</name><affiliation wicri:level="1"><nlm:affiliation>Laboratory of Animal Food Products Hygiene-Veterinary Public Health, Department of Hygiene and Technology of Food of Animal Origin, School of Veterinary Medicine, Faculty of Health Sciences, Aristotle University of Thessaloniki, 54124 Thessaloniki, Greece. ipapapan@vet.auth.gr.</nlm:affiliation><country xml:lang="fr">Grèce</country><wicri:regionArea>Laboratory of Animal Food Products Hygiene-Veterinary Public Health, Department of Hygiene and Technology of Food of Animal Origin, School of Veterinary Medicine, Faculty of Health Sciences, Aristotle University of Thessaloniki, 54124 Thessaloniki</wicri:regionArea><wicri:noRegion>54124 Thessaloniki</wicri:noRegion></affiliation></author></analytic><series><title level="j">Veterinary sciences</title><idno type="eISSN">2306-7381</idno><imprint><date when="2017" type="published">2017</date></imprint></series></biblStruct></sourceDesc></fileDesc><profileDesc><textClass></textClass></profileDesc></teiHeader><front><div type="abstract" xml:lang="en">The European Union Rapid Alert System for Food and Feed (EU RASFF) database is an invaluable instrument for analyzing notifications involving norovirus in food. The aim of this work was to carry out a thorough research of the alert and border rejection notifications submitted in the RASFF database from its onset until 31 August 2017. Some conclusions of interest were: (i) Denmark, France, Italy, the Netherlands and Norway have contributed the majority of alert notifications as notifying countries, (ii) France and Serbia have been cited more often in alert notifications as countries of origin, (iii) Italy and Spain have submitted the majority of border rejection notifications, (iv) Third Countries implicated more frequently in border rejection notifications for norovirus in bivalve molluscs were Vietnam and Tunisia, whereas in fruits and vegetables were China and Serbia, (v) "risk dispersion" from norovirus-contaminated food was narrow since, in just over half of all alert notifications and all of the border rejection notifications, only up to three countries were involved, and (vi) both raw (oysters and berries) and cooked (mussels) food products can present a health risk to consumers. The information retrieved from the RASFF database on norovirus-contaminated food could prove helpful in the planning of future norovirus risk analysis endeavors.</div></front></TEI><pubmed><MedlineCitation Status="PubMed-not-MEDLINE" Owner="NLM"><PMID Version="1">29186840</PMID><DateRevised><Year>2020</Year><Month>10</Month><Day>01</Day></DateRevised><Article PubModel="Electronic"><Journal><ISSN IssnType="Electronic">2306-7381</ISSN><JournalIssue CitedMedium="Internet"><Volume>4</Volume><Issue>4</Issue><PubDate><Year>2017</Year><Month>Nov</Month><Day>25</Day></PubDate></JournalIssue><Title>Veterinary sciences</Title><ISOAbbreviation>Vet Sci</ISOAbbreviation></Journal><ArticleTitle>Foodborne Norovirus State of Affairs in the EU Rapid Alert System for Food and Feed.</ArticleTitle><ELocationID EIdType="pii" ValidYN="Y">E61</ELocationID><ELocationID EIdType="doi" ValidYN="Y">10.3390/vetsci4040061</ELocationID><Abstract><AbstractText>The European Union Rapid Alert System for Food and Feed (EU RASFF) database is an invaluable instrument for analyzing notifications involving norovirus in food. The aim of this work was to carry out a thorough research of the alert and border rejection notifications submitted in the RASFF database from its onset until 31 August 2017. Some conclusions of interest were: (i) Denmark, France, Italy, the Netherlands and Norway have contributed the majority of alert notifications as notifying countries, (ii) France and Serbia have been cited more often in alert notifications as countries of origin, (iii) Italy and Spain have submitted the majority of border rejection notifications, (iv) Third Countries implicated more frequently in border rejection notifications for norovirus in bivalve molluscs were Vietnam and Tunisia, whereas in fruits and vegetables were China and Serbia, (v) "risk dispersion" from norovirus-contaminated food was narrow since, in just over half of all alert notifications and all of the border rejection notifications, only up to three countries were involved, and (vi) both raw (oysters and berries) and cooked (mussels) food products can present a health risk to consumers. The information retrieved from the RASFF database on norovirus-contaminated food could prove helpful in the planning of future norovirus risk analysis endeavors.</AbstractText></Abstract><AuthorList CompleteYN="Y"><Author ValidYN="Y"><LastName>Papapanagiotou</LastName><ForeName>Elias P</ForeName><Initials>EP</Initials><AffiliationInfo><Affiliation>Laboratory of Animal Food Products Hygiene-Veterinary Public Health, Department of Hygiene and Technology of Food of Animal Origin, School of Veterinary Medicine, Faculty of Health Sciences, Aristotle University of Thessaloniki, 54124 Thessaloniki, Greece. ipapapan@vet.auth.gr.</Affiliation></AffiliationInfo></Author></AuthorList><Language>eng</Language><PublicationTypeList><PublicationType UI="D016428">Journal Article</PublicationType></PublicationTypeList><ArticleDate DateType="Electronic"><Year>2017</Year><Month>11</Month><Day>25</Day></ArticleDate></Article><MedlineJournalInfo><Country>Switzerland</Country><MedlineTA>Vet Sci</MedlineTA><NlmUniqueID>101680127</NlmUniqueID><ISSNLinking>2306-7381</ISSNLinking></MedlineJournalInfo><KeywordList Owner="NOTNLM"><Keyword MajorTopicYN="N">FVO</Keyword><Keyword MajorTopicYN="N">INFOSAN</Keyword><Keyword MajorTopicYN="N">RASFF</Keyword><Keyword MajorTopicYN="N">bivalve molluscs</Keyword><Keyword MajorTopicYN="N">fruits and vegetables</Keyword><Keyword MajorTopicYN="N">norovirus</Keyword></KeywordList><CoiStatement>The author declares no conflict of interest.</CoiStatement></MedlineCitation><PubmedData><History><PubMedPubDate PubStatus="received"><Year>2017</Year><Month>10</Month><Day>27</Day></PubMedPubDate><PubMedPubDate PubStatus="revised"><Year>2017</Year><Month>11</Month><Day>18</Day></PubMedPubDate><PubMedPubDate PubStatus="accepted"><Year>2017</Year><Month>11</Month><Day>21</Day></PubMedPubDate><PubMedPubDate PubStatus="entrez"><Year>2017</Year><Month>12</Month><Day>1</Day><Hour>6</Hour><Minute>0</Minute></PubMedPubDate><PubMedPubDate 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