Prevalence of Foodborne Viruses in Mussels in Southern Italy View Full Text


Ontology type: schema:ScholarlyArticle     


Article Info

DATE

2017-01-04

AUTHORS

Giovanna Fusco, Ilaria Di Bartolo, Barbara Cioffi, Giovanni Ianiro, Pierpaolo Palermo, Marina Monini, Maria Grazia Amoroso

ABSTRACT

In this study, the prevalence of various enteric viruses in Mytilus galloprovincialis (Mediterranean mussel) belonging to class A and class B mollusc-harvesting areas in the Campania region in southern Italy was evaluated. One hundred and eight mussels were analysed using real-time reverse transcription PCR during a 2-year collection period (2014–2015) to detect the following viruses: human norovirus (genogroups I and II), rotavirus, astrovirus, sapovirus, aichivirus, hepatitis A virus and hepatitis E virus. Overall, 50.93% of mussels were contaminated by at least one of the tested viruses. Of these virus-positive mussels, 63.63% were contaminated by two or more viruses. In 2014, only three of the eight investigated viruses were detected: astrovirus, sapovirus and aichivirus, whereas in 2015, seven of the eight viruses were detected (only hepatitis E virus was not identified). Astrovirus was the most frequently detected virus in both sampling periods. In 2014, sapovirus was detected at the same frequency as astrovirus (16.00%), followed by aichivirus (8%). In 2015, astrovirus (32.53%) was most frequently detected, followed by norovirus GII (26.50%), sapovirus (18.07%), hepatitis A virus (16.87%), rotavirus (16.87%), aichivirus (13.25%) and norovirus GI (12.05%).This study describes, for the first time, the presence of aichivirus and sapovirus in mussels in Italy. More... »

PAGES

187-194

Identifiers

URI

http://scigraph.springernature.com/pub.10.1007/s12560-016-9277-x

DOI

http://dx.doi.org/10.1007/s12560-016-9277-x

DIMENSIONS

https://app.dimensions.ai/details/publication/pub.1053677776

PUBMED

https://www.ncbi.nlm.nih.gov/pubmed/28054332


Indexing Status Check whether this publication has been indexed by Scopus and Web Of Science using the SN Indexing Status Tool
Incoming Citations Browse incoming citations for this publication using opencitations.net

JSON-LD is the canonical representation for SciGraph data.

TIP: You can open this SciGraph record using an external JSON-LD service: JSON-LD Playground Google SDTT

[
  {
    "@context": "https://springernature.github.io/scigraph/jsonld/sgcontext.json", 
    "about": [
      {
        "id": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/11", 
        "inDefinedTermSet": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/", 
        "name": "Medical and Health Sciences", 
        "type": "DefinedTerm"
      }, 
      {
        "id": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/1108", 
        "inDefinedTermSet": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/", 
        "name": "Medical Microbiology", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Animals", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Bivalvia", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Food Contamination", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Foodborne Diseases", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Humans", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Italy", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Prevalence", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "RNA, Viral", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Shellfish", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Viruses", 
        "type": "DefinedTerm"
      }
    ], 
    "author": [
      {
        "affiliation": {
          "alternateName": "Department of Animal Health, Experimental Zooprophylactic Institute of Southern Italy, Via Salute, 2, 80055, Portici, NA, Italy", 
          "id": "http://www.grid.ac/institutes/None", 
          "name": [
            "Department of Animal Health, Experimental Zooprophylactic Institute of Southern Italy, Via Salute, 2, 80055, Portici, NA, Italy"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Fusco", 
        "givenName": "Giovanna", 
        "id": "sg:person.0736502223.48", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0736502223.48"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Department of Veterinary Public Health and Food Safety, Istituto Superiore di Sanit\u00e0, Vial Regina Elena 299, 00161, Rome, Italy", 
          "id": "http://www.grid.ac/institutes/grid.416651.1", 
          "name": [
            "Department of Veterinary Public Health and Food Safety, Istituto Superiore di Sanit\u00e0, Vial Regina Elena 299, 00161, Rome, Italy"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Di Bartolo", 
        "givenName": "Ilaria", 
        "id": "sg:person.01327137570.45", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01327137570.45"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Department of Animal Health, Experimental Zooprophylactic Institute of Southern Italy, Via Salute, 2, 80055, Portici, NA, Italy", 
          "id": "http://www.grid.ac/institutes/None", 
          "name": [
            "Department of Animal Health, Experimental Zooprophylactic Institute of Southern Italy, Via Salute, 2, 80055, Portici, NA, Italy"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Cioffi", 
        "givenName": "Barbara", 
        "id": "sg:person.014717126715.55", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.014717126715.55"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Department of Veterinary Public Health and Food Safety, Istituto Superiore di Sanit\u00e0, Vial Regina Elena 299, 00161, Rome, Italy", 
          "id": "http://www.grid.ac/institutes/grid.416651.1", 
          "name": [
            "Department of Veterinary Public Health and Food Safety, Istituto Superiore di Sanit\u00e0, Vial Regina Elena 299, 00161, Rome, Italy"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Ianiro", 
        "givenName": "Giovanni", 
        "id": "sg:person.0627544463.04", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0627544463.04"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Veterinarian Epidemiological Surveillance Center, Experimental Zooprophylactic Institute of Southern Italy, Via Salute, 2, 80055, Portici, NA, Italy", 
          "id": "http://www.grid.ac/institutes/None", 
          "name": [
            "Veterinarian Epidemiological Surveillance Center, Experimental Zooprophylactic Institute of Southern Italy, Via Salute, 2, 80055, Portici, NA, Italy"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Palermo", 
        "givenName": "Pierpaolo", 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Department of Veterinary Public Health and Food Safety, Istituto Superiore di Sanit\u00e0, Vial Regina Elena 299, 00161, Rome, Italy", 
          "id": "http://www.grid.ac/institutes/grid.416651.1", 
          "name": [
            "Department of Veterinary Public Health and Food Safety, Istituto Superiore di Sanit\u00e0, Vial Regina Elena 299, 00161, Rome, Italy"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Monini", 
        "givenName": "Marina", 
        "id": "sg:person.01357433267.90", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01357433267.90"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Department of Animal Health, Experimental Zooprophylactic Institute of Southern Italy, Via Salute, 2, 80055, Portici, NA, Italy", 
          "id": "http://www.grid.ac/institutes/None", 
          "name": [
            "Department of Animal Health, Experimental Zooprophylactic Institute of Southern Italy, Via Salute, 2, 80055, Portici, NA, Italy"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Amoroso", 
        "givenName": "Maria Grazia", 
        "id": "sg:person.0674565423.47", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0674565423.47"
        ], 
        "type": "Person"
      }
    ], 
    "citation": [
      {
        "id": "sg:pub.10.1007/s12560-013-9109-1", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1031899505", 
          "https://doi.org/10.1007/s12560-013-9109-1"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s00705-013-1694-7", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1047493864", 
          "https://doi.org/10.1007/s00705-013-1694-7"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1186/s12879-014-0574-4", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1027227462", 
          "https://doi.org/10.1186/s12879-014-0574-4"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s12560-012-9078-9", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1053710925", 
          "https://doi.org/10.1007/s12560-012-9078-9"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s00705-010-0744-7", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1017122650", 
          "https://doi.org/10.1007/s00705-010-0744-7"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s12560-016-9228-6", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1044635772", 
          "https://doi.org/10.1007/s12560-016-9228-6"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s12560-012-9095-8", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1047248165", 
          "https://doi.org/10.1007/s12560-012-9095-8"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1186/1471-2334-7-135", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1024071008", 
          "https://doi.org/10.1186/1471-2334-7-135"
        ], 
        "type": "CreativeWork"
      }
    ], 
    "datePublished": "2017-01-04", 
    "datePublishedReg": "2017-01-04", 
    "description": "In this study, the prevalence of various enteric viruses in Mytilus galloprovincialis (Mediterranean mussel) belonging to class A and class B mollusc-harvesting areas in the Campania region in southern Italy was evaluated. One hundred and eight mussels were analysed using real-time reverse transcription PCR during a 2-year collection period (2014\u20132015) to detect the following viruses: human norovirus (genogroups I and II), rotavirus, astrovirus, sapovirus, aichivirus, hepatitis A virus and hepatitis E virus. Overall, 50.93% of mussels were contaminated by at least one of the tested viruses. Of these virus-positive mussels, 63.63% were contaminated by two or more viruses. In 2014, only three of the eight investigated viruses were detected: astrovirus, sapovirus and aichivirus, whereas in 2015, seven of the eight viruses were detected (only hepatitis E virus was not identified). Astrovirus was the most frequently detected virus in both sampling periods. In 2014, sapovirus was detected at the same frequency as astrovirus (16.00%), followed by aichivirus (8%). In 2015, astrovirus (32.53%) was most frequently detected, followed by norovirus GII (26.50%), sapovirus (18.07%), hepatitis A virus (16.87%), rotavirus (16.87%), aichivirus (13.25%) and norovirus GI (12.05%).This study describes, for the first time, the presence of aichivirus and sapovirus in mussels in Italy.", 
    "genre": "article", 
    "id": "sg:pub.10.1007/s12560-016-9277-x", 
    "isAccessibleForFree": false, 
    "isPartOf": [
      {
        "id": "sg:journal.1040542", 
        "issn": [
          "1867-0334", 
          "1867-0342"
        ], 
        "name": "Food and Environmental Virology", 
        "publisher": "Springer Nature", 
        "type": "Periodical"
      }, 
      {
        "issueNumber": "2", 
        "type": "PublicationIssue"
      }, 
      {
        "type": "PublicationVolume", 
        "volumeNumber": "9"
      }
    ], 
    "keywords": [
      "hepatitis A virus", 
      "A virus", 
      "hepatitis E virus", 
      "real-time reverse transcription PCR", 
      "E virus", 
      "reverse transcription-PCR", 
      "foodborne viruses", 
      "sapovirus", 
      "astrovirus", 
      "more viruses", 
      "transcription-PCR", 
      "norovirus GII", 
      "virus", 
      "human norovirus", 
      "norovirus GI", 
      "prevalence", 
      "rotavirus", 
      "Aichivirus", 
      "enteric viruses", 
      "class A", 
      "collection period", 
      "norovirus", 
      "period", 
      "GII", 
      "study", 
      "PCR", 
      "GI", 
      "southern Italy", 
      "Campania region", 
      "Italy", 
      "same frequency", 
      "first time", 
      "presence", 
      "frequency", 
      "Mytilus galloprovincialis", 
      "time", 
      "area", 
      "sampling period", 
      "region", 
      "mussels", 
      "galloprovincialis"
    ], 
    "name": "Prevalence of Foodborne Viruses in Mussels in Southern Italy", 
    "pagination": "187-194", 
    "productId": [
      {
        "name": "dimensions_id", 
        "type": "PropertyValue", 
        "value": [
          "pub.1053677776"
        ]
      }, 
      {
        "name": "doi", 
        "type": "PropertyValue", 
        "value": [
          "10.1007/s12560-016-9277-x"
        ]
      }, 
      {
        "name": "pubmed_id", 
        "type": "PropertyValue", 
        "value": [
          "28054332"
        ]
      }
    ], 
    "sameAs": [
      "https://doi.org/10.1007/s12560-016-9277-x", 
      "https://app.dimensions.ai/details/publication/pub.1053677776"
    ], 
    "sdDataset": "articles", 
    "sdDatePublished": "2022-12-01T06:35", 
    "sdLicense": "https://scigraph.springernature.com/explorer/license/", 
    "sdPublisher": {
      "name": "Springer Nature - SN SciGraph project", 
      "type": "Organization"
    }, 
    "sdSource": "s3://com-springernature-scigraph/baseset/20221201/entities/gbq_results/article/article_719.jsonl", 
    "type": "ScholarlyArticle", 
    "url": "https://doi.org/10.1007/s12560-016-9277-x"
  }
]
 

Download the RDF metadata as:  json-ld nt turtle xml License info

HOW TO GET THIS DATA PROGRAMMATICALLY:

JSON-LD is a popular format for linked data which is fully compatible with JSON.

curl -H 'Accept: application/ld+json' 'https://scigraph.springernature.com/pub.10.1007/s12560-016-9277-x'

N-Triples is a line-based linked data format ideal for batch operations.

curl -H 'Accept: application/n-triples' 'https://scigraph.springernature.com/pub.10.1007/s12560-016-9277-x'

Turtle is a human-readable linked data format.

curl -H 'Accept: text/turtle' 'https://scigraph.springernature.com/pub.10.1007/s12560-016-9277-x'

RDF/XML is a standard XML format for linked data.

curl -H 'Accept: application/rdf+xml' 'https://scigraph.springernature.com/pub.10.1007/s12560-016-9277-x'


 

This table displays all metadata directly associated to this object as RDF triples.

220 TRIPLES      21 PREDICATES      84 URIs      68 LITERALS      17 BLANK NODES

Subject Predicate Object
1 sg:pub.10.1007/s12560-016-9277-x schema:about N0b8709c9547b468893ff1fc6be5eb7c2
2 N2f1cd4414ed643a8b182d30ba184d694
3 N41932290424f4bb097fc6850c8d1be3f
4 N513ca69c51b94a5fa1ea8ed9f17638dd
5 N64d2eee858dd44de911173796d43b927
6 N6d9b26db64484b27af4a7cf438debfe6
7 Nab4d75850bf5406caf9ad361e225caea
8 Naf7025ddecdc4163b2ef256b1645e9c7
9 Nb8066a5fdb5445b880f37ad522be8956
10 Nfe506de29b634f0fa1f53f6e35e773dc
11 anzsrc-for:11
12 anzsrc-for:1108
13 schema:author N35f55f24e11f4c5d971e9d8d17178f82
14 schema:citation sg:pub.10.1007/s00705-010-0744-7
15 sg:pub.10.1007/s00705-013-1694-7
16 sg:pub.10.1007/s12560-012-9078-9
17 sg:pub.10.1007/s12560-012-9095-8
18 sg:pub.10.1007/s12560-013-9109-1
19 sg:pub.10.1007/s12560-016-9228-6
20 sg:pub.10.1186/1471-2334-7-135
21 sg:pub.10.1186/s12879-014-0574-4
22 schema:datePublished 2017-01-04
23 schema:datePublishedReg 2017-01-04
24 schema:description In this study, the prevalence of various enteric viruses in Mytilus galloprovincialis (Mediterranean mussel) belonging to class A and class B mollusc-harvesting areas in the Campania region in southern Italy was evaluated. One hundred and eight mussels were analysed using real-time reverse transcription PCR during a 2-year collection period (2014–2015) to detect the following viruses: human norovirus (genogroups I and II), rotavirus, astrovirus, sapovirus, aichivirus, hepatitis A virus and hepatitis E virus. Overall, 50.93% of mussels were contaminated by at least one of the tested viruses. Of these virus-positive mussels, 63.63% were contaminated by two or more viruses. In 2014, only three of the eight investigated viruses were detected: astrovirus, sapovirus and aichivirus, whereas in 2015, seven of the eight viruses were detected (only hepatitis E virus was not identified). Astrovirus was the most frequently detected virus in both sampling periods. In 2014, sapovirus was detected at the same frequency as astrovirus (16.00%), followed by aichivirus (8%). In 2015, astrovirus (32.53%) was most frequently detected, followed by norovirus GII (26.50%), sapovirus (18.07%), hepatitis A virus (16.87%), rotavirus (16.87%), aichivirus (13.25%) and norovirus GI (12.05%).This study describes, for the first time, the presence of aichivirus and sapovirus in mussels in Italy.
25 schema:genre article
26 schema:isAccessibleForFree false
27 schema:isPartOf N568841470f334a82a46849ad29a0928e
28 Nafa42cbce9d34197b9696bf9cd082132
29 sg:journal.1040542
30 schema:keywords A virus
31 Aichivirus
32 Campania region
33 E virus
34 GI
35 GII
36 Italy
37 Mytilus galloprovincialis
38 PCR
39 area
40 astrovirus
41 class A
42 collection period
43 enteric viruses
44 first time
45 foodborne viruses
46 frequency
47 galloprovincialis
48 hepatitis A virus
49 hepatitis E virus
50 human norovirus
51 more viruses
52 mussels
53 norovirus
54 norovirus GI
55 norovirus GII
56 period
57 presence
58 prevalence
59 real-time reverse transcription PCR
60 region
61 reverse transcription-PCR
62 rotavirus
63 same frequency
64 sampling period
65 sapovirus
66 southern Italy
67 study
68 time
69 transcription-PCR
70 virus
71 schema:name Prevalence of Foodborne Viruses in Mussels in Southern Italy
72 schema:pagination 187-194
73 schema:productId Nc4091b4fc7d04151b559cdb2188485b6
74 Ne00a9360ca564ee29aebd886e64c69a7
75 Ne091acd9d5634c2695b6d61cf6772dcb
76 schema:sameAs https://app.dimensions.ai/details/publication/pub.1053677776
77 https://doi.org/10.1007/s12560-016-9277-x
78 schema:sdDatePublished 2022-12-01T06:35
79 schema:sdLicense https://scigraph.springernature.com/explorer/license/
80 schema:sdPublisher N00d36cdf96554a32904c400db628ae7c
81 schema:url https://doi.org/10.1007/s12560-016-9277-x
82 sgo:license sg:explorer/license/
83 sgo:sdDataset articles
84 rdf:type schema:ScholarlyArticle
85 N00d36cdf96554a32904c400db628ae7c schema:name Springer Nature - SN SciGraph project
86 rdf:type schema:Organization
87 N03db2bb9991447e394088e1e781e47b6 rdf:first sg:person.01357433267.90
88 rdf:rest Nb067a7e1076b4f11bc61bf7ab6dea874
89 N0929c6e1a806495895af4785d7f23d6c rdf:first sg:person.014717126715.55
90 rdf:rest Nd9c35bc4755349ac8592c663f0482822
91 N0b8709c9547b468893ff1fc6be5eb7c2 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
92 schema:name Food Contamination
93 rdf:type schema:DefinedTerm
94 N2f1cd4414ed643a8b182d30ba184d694 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
95 schema:name Prevalence
96 rdf:type schema:DefinedTerm
97 N35f55f24e11f4c5d971e9d8d17178f82 rdf:first sg:person.0736502223.48
98 rdf:rest Na8a99d35ae9d4adbbd77c9e047bb2136
99 N41932290424f4bb097fc6850c8d1be3f schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
100 schema:name Italy
101 rdf:type schema:DefinedTerm
102 N513ca69c51b94a5fa1ea8ed9f17638dd schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
103 schema:name Shellfish
104 rdf:type schema:DefinedTerm
105 N568841470f334a82a46849ad29a0928e schema:issueNumber 2
106 rdf:type schema:PublicationIssue
107 N64d2eee858dd44de911173796d43b927 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
108 schema:name Viruses
109 rdf:type schema:DefinedTerm
110 N6d9b26db64484b27af4a7cf438debfe6 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
111 schema:name Animals
112 rdf:type schema:DefinedTerm
113 N7db408f6d9ad41a4b902e606cbd41c6b rdf:first Nae8888674a244c4ebdac75d01f7833c9
114 rdf:rest N03db2bb9991447e394088e1e781e47b6
115 Na8a99d35ae9d4adbbd77c9e047bb2136 rdf:first sg:person.01327137570.45
116 rdf:rest N0929c6e1a806495895af4785d7f23d6c
117 Nab4d75850bf5406caf9ad361e225caea schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
118 schema:name Humans
119 rdf:type schema:DefinedTerm
120 Nae8888674a244c4ebdac75d01f7833c9 schema:affiliation grid-institutes:None
121 schema:familyName Palermo
122 schema:givenName Pierpaolo
123 rdf:type schema:Person
124 Naf7025ddecdc4163b2ef256b1645e9c7 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
125 schema:name Foodborne Diseases
126 rdf:type schema:DefinedTerm
127 Nafa42cbce9d34197b9696bf9cd082132 schema:volumeNumber 9
128 rdf:type schema:PublicationVolume
129 Nb067a7e1076b4f11bc61bf7ab6dea874 rdf:first sg:person.0674565423.47
130 rdf:rest rdf:nil
131 Nb8066a5fdb5445b880f37ad522be8956 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
132 schema:name Bivalvia
133 rdf:type schema:DefinedTerm
134 Nc4091b4fc7d04151b559cdb2188485b6 schema:name doi
135 schema:value 10.1007/s12560-016-9277-x
136 rdf:type schema:PropertyValue
137 Nd9c35bc4755349ac8592c663f0482822 rdf:first sg:person.0627544463.04
138 rdf:rest N7db408f6d9ad41a4b902e606cbd41c6b
139 Ne00a9360ca564ee29aebd886e64c69a7 schema:name pubmed_id
140 schema:value 28054332
141 rdf:type schema:PropertyValue
142 Ne091acd9d5634c2695b6d61cf6772dcb schema:name dimensions_id
143 schema:value pub.1053677776
144 rdf:type schema:PropertyValue
145 Nfe506de29b634f0fa1f53f6e35e773dc schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
146 schema:name RNA, Viral
147 rdf:type schema:DefinedTerm
148 anzsrc-for:11 schema:inDefinedTermSet anzsrc-for:
149 schema:name Medical and Health Sciences
150 rdf:type schema:DefinedTerm
151 anzsrc-for:1108 schema:inDefinedTermSet anzsrc-for:
152 schema:name Medical Microbiology
153 rdf:type schema:DefinedTerm
154 sg:journal.1040542 schema:issn 1867-0334
155 1867-0342
156 schema:name Food and Environmental Virology
157 schema:publisher Springer Nature
158 rdf:type schema:Periodical
159 sg:person.01327137570.45 schema:affiliation grid-institutes:grid.416651.1
160 schema:familyName Di Bartolo
161 schema:givenName Ilaria
162 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01327137570.45
163 rdf:type schema:Person
164 sg:person.01357433267.90 schema:affiliation grid-institutes:grid.416651.1
165 schema:familyName Monini
166 schema:givenName Marina
167 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01357433267.90
168 rdf:type schema:Person
169 sg:person.014717126715.55 schema:affiliation grid-institutes:None
170 schema:familyName Cioffi
171 schema:givenName Barbara
172 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.014717126715.55
173 rdf:type schema:Person
174 sg:person.0627544463.04 schema:affiliation grid-institutes:grid.416651.1
175 schema:familyName Ianiro
176 schema:givenName Giovanni
177 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0627544463.04
178 rdf:type schema:Person
179 sg:person.0674565423.47 schema:affiliation grid-institutes:None
180 schema:familyName Amoroso
181 schema:givenName Maria Grazia
182 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0674565423.47
183 rdf:type schema:Person
184 sg:person.0736502223.48 schema:affiliation grid-institutes:None
185 schema:familyName Fusco
186 schema:givenName Giovanna
187 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0736502223.48
188 rdf:type schema:Person
189 sg:pub.10.1007/s00705-010-0744-7 schema:sameAs https://app.dimensions.ai/details/publication/pub.1017122650
190 https://doi.org/10.1007/s00705-010-0744-7
191 rdf:type schema:CreativeWork
192 sg:pub.10.1007/s00705-013-1694-7 schema:sameAs https://app.dimensions.ai/details/publication/pub.1047493864
193 https://doi.org/10.1007/s00705-013-1694-7
194 rdf:type schema:CreativeWork
195 sg:pub.10.1007/s12560-012-9078-9 schema:sameAs https://app.dimensions.ai/details/publication/pub.1053710925
196 https://doi.org/10.1007/s12560-012-9078-9
197 rdf:type schema:CreativeWork
198 sg:pub.10.1007/s12560-012-9095-8 schema:sameAs https://app.dimensions.ai/details/publication/pub.1047248165
199 https://doi.org/10.1007/s12560-012-9095-8
200 rdf:type schema:CreativeWork
201 sg:pub.10.1007/s12560-013-9109-1 schema:sameAs https://app.dimensions.ai/details/publication/pub.1031899505
202 https://doi.org/10.1007/s12560-013-9109-1
203 rdf:type schema:CreativeWork
204 sg:pub.10.1007/s12560-016-9228-6 schema:sameAs https://app.dimensions.ai/details/publication/pub.1044635772
205 https://doi.org/10.1007/s12560-016-9228-6
206 rdf:type schema:CreativeWork
207 sg:pub.10.1186/1471-2334-7-135 schema:sameAs https://app.dimensions.ai/details/publication/pub.1024071008
208 https://doi.org/10.1186/1471-2334-7-135
209 rdf:type schema:CreativeWork
210 sg:pub.10.1186/s12879-014-0574-4 schema:sameAs https://app.dimensions.ai/details/publication/pub.1027227462
211 https://doi.org/10.1186/s12879-014-0574-4
212 rdf:type schema:CreativeWork
213 grid-institutes:None schema:alternateName Department of Animal Health, Experimental Zooprophylactic Institute of Southern Italy, Via Salute, 2, 80055, Portici, NA, Italy
214 Veterinarian Epidemiological Surveillance Center, Experimental Zooprophylactic Institute of Southern Italy, Via Salute, 2, 80055, Portici, NA, Italy
215 schema:name Department of Animal Health, Experimental Zooprophylactic Institute of Southern Italy, Via Salute, 2, 80055, Portici, NA, Italy
216 Veterinarian Epidemiological Surveillance Center, Experimental Zooprophylactic Institute of Southern Italy, Via Salute, 2, 80055, Portici, NA, Italy
217 rdf:type schema:Organization
218 grid-institutes:grid.416651.1 schema:alternateName Department of Veterinary Public Health and Food Safety, Istituto Superiore di Sanità, Vial Regina Elena 299, 00161, Rome, Italy
219 schema:name Department of Veterinary Public Health and Food Safety, Istituto Superiore di Sanità, Vial Regina Elena 299, 00161, Rome, Italy
220 rdf:type schema:Organization
 




Preview window. Press ESC to close (or click here)


...