Seroprevalence of anti-hepatitis E virus (HEV) in a Korean population: comparison of two commercial anti-HEV assays View Full Text


Ontology type: schema:ScholarlyArticle      Open Access: True


Article Info

DATE

2012-06-22

AUTHORS

Hyun Kyung Park, Sook-Hyang Jeong, Jin-Wook Kim, Byung-Hyun Woo, Dong Ho Lee, Hyun Young Kim, Soyeon Ahn

ABSTRACT

BACKGROUND: Hepatitis E virus (HEV) has emerged as an important cause of epidemic and sporadic acute viral hepatitis worldwide. This study investigated the seroprevalence of anti-HEV in a Korean population and compared the performance of two commercially available anti-HEV assays. METHODS: A total 147 health-check examinees were randomly sampled as matched to the age- and sex- adjusted standard population based on the Korean National Census of 2007. Serum immunoglobulin G anti-HEV was determined by using the Genelabs assay (Genelabs, Singapore) and the Wantai assay (Wantai, Beijing, China). RESULTS: The overall anti-HEV seroprevalence was 23.1% (95% CI, 16.1-30.1%) using the Wantai assay and 14.3% (95% CI, 8.3-20.3%) using the Genelabs assay. Only 12 samples (8.1%) were positive for anti-HEV as measured by both assays; agreement between the two assays was poor (kappa value of 0.315). The anti-HEV seroprevalence increased with age from 2% and 3% in the people younger than 20-years-of-age to 34.6% and 42.3% in those over 59-years-of-age by the Genelabs and Wantai assay, respectively. CONCLUSIONS: The HEV seroprevalence in Korean population is about 20% overall, with seroprevalence increasing in this population with increasing age. There was poor concordance in the results of the Genelabs and Wantai assays, which warrants further study concerning a reliable diagnostic test for the diagnosis of hepatitis E. More... »

PAGES

142-142

Identifiers

URI

http://scigraph.springernature.com/pub.10.1186/1471-2334-12-142

DOI

http://dx.doi.org/10.1186/1471-2334-12-142

DIMENSIONS

https://app.dimensions.ai/details/publication/pub.1001799408

PUBMED

https://www.ncbi.nlm.nih.gov/pubmed/22726615


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/2008/1103", 
        "inDefinedTermSet": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/", 
        "name": "Clinical Sciences", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Adult", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Age Factors", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Aged", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Aged, 80 and over", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Antibodies, Viral", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Asian Continental Ancestry Group", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Clinical Laboratory Techniques", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Female", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Hepatitis Antibodies", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Hepatitis E virus", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Humans", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Immunoassay", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Immunoglobulin G", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Male", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Middle Aged", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Republic of Korea", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Seroepidemiologic Studies", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Young Adult", 
        "type": "DefinedTerm"
      }
    ], 
    "author": [
      {
        "affiliation": {
          "alternateName": "Department of Internal Medicine, Gumi-dong 300, Bundang-gu, Seongnam-si, Gyeonggi-do, South Korea", 
          "id": "http://www.grid.ac/institutes/None", 
          "name": [
            "Department of Internal Medicine, Gumi-dong 300, Bundang-gu, Seongnam-si, Gyeonggi-do, South Korea"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Park", 
        "givenName": "Hyun Kyung", 
        "id": "sg:person.012455464265.88", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.012455464265.88"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Department of Internal Medicine, Seoul National University Bundang Hospital, Gumi-dong 300, Bundang-gu, Seongnam-si, Gyeonggi-do, South Korea", 
          "id": "http://www.grid.ac/institutes/grid.412480.b", 
          "name": [
            "Department of Internal Medicine, Gumi-dong 300, Bundang-gu, Seongnam-si, Gyeonggi-do, South Korea", 
            "Department of Internal Medicine, Seoul National University Bundang Hospital, Gumi-dong 300, Bundang-gu, Seongnam-si, Gyeonggi-do, South Korea"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Jeong", 
        "givenName": "Sook-Hyang", 
        "id": "sg:person.01311212424.28", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01311212424.28"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Department of Internal Medicine, Gumi-dong 300, Bundang-gu, Seongnam-si, Gyeonggi-do, South Korea", 
          "id": "http://www.grid.ac/institutes/None", 
          "name": [
            "Department of Internal Medicine, Gumi-dong 300, Bundang-gu, Seongnam-si, Gyeonggi-do, South Korea"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Kim", 
        "givenName": "Jin-Wook", 
        "id": "sg:person.01064376524.41", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01064376524.41"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Department of Internal Medicine, Gumi-dong 300, Bundang-gu, Seongnam-si, Gyeonggi-do, South Korea", 
          "id": "http://www.grid.ac/institutes/None", 
          "name": [
            "Department of Internal Medicine, Gumi-dong 300, Bundang-gu, Seongnam-si, Gyeonggi-do, South Korea"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Woo", 
        "givenName": "Byung-Hyun", 
        "id": "sg:person.01141432635.65", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01141432635.65"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Health Promotion Center, Gumi-dong 300, Bundang-gu, Seongnam-si, Gyeonggi-do, South Korea", 
          "id": "http://www.grid.ac/institutes/None", 
          "name": [
            "Department of Internal Medicine, Gumi-dong 300, Bundang-gu, Seongnam-si, Gyeonggi-do, South Korea", 
            "Health Promotion Center, Gumi-dong 300, Bundang-gu, Seongnam-si, Gyeonggi-do, South Korea"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Lee", 
        "givenName": "Dong Ho", 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Health Promotion Center, Gumi-dong 300, Bundang-gu, Seongnam-si, Gyeonggi-do, South Korea", 
          "id": "http://www.grid.ac/institutes/None", 
          "name": [
            "Health Promotion Center, Gumi-dong 300, Bundang-gu, Seongnam-si, Gyeonggi-do, South Korea"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Kim", 
        "givenName": "Hyun Young", 
        "id": "sg:person.014350571460.84", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.014350571460.84"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Medical Research Collaborating Center, Seoul National University Bundang Hospital, Gumi-dong 300, Bundang-gu, Seongnam-si, Gyeonggi-do, South Korea", 
          "id": "http://www.grid.ac/institutes/grid.412480.b", 
          "name": [
            "Medical Research Collaborating Center, Seoul National University Bundang Hospital, Gumi-dong 300, Bundang-gu, Seongnam-si, Gyeonggi-do, South Korea"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Ahn", 
        "givenName": "Soyeon", 
        "id": "sg:person.0612662613.04", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0612662613.04"
        ], 
        "type": "Person"
      }
    ], 
    "citation": [
      {
        "id": "sg:pub.10.1007/s15010-007-7130-8", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1034038459", 
          "https://doi.org/10.1007/s15010-007-7130-8"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s00705-010-0661-9", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1019452857", 
          "https://doi.org/10.1007/s00705-010-0661-9"
        ], 
        "type": "CreativeWork"
      }
    ], 
    "datePublished": "2012-06-22", 
    "datePublishedReg": "2012-06-22", 
    "description": "BACKGROUND: Hepatitis E virus (HEV) has emerged as an important cause of epidemic and sporadic acute viral hepatitis worldwide. This study investigated the seroprevalence of anti-HEV in a Korean population and compared the performance of two commercially available anti-HEV assays.\nMETHODS: A total 147 health-check examinees were randomly sampled as matched to the age- and sex- adjusted standard population based on the Korean National Census of 2007. Serum immunoglobulin G anti-HEV was determined by using the Genelabs assay (Genelabs, Singapore) and the Wantai assay (Wantai, Beijing, China).\nRESULTS: The overall anti-HEV seroprevalence was 23.1% (95% CI, 16.1-30.1%) using the Wantai assay and 14.3% (95% CI, 8.3-20.3%) using the Genelabs assay. Only 12 samples (8.1%) were positive for anti-HEV as measured by both assays; agreement between the two assays was poor (kappa value of 0.315). The anti-HEV seroprevalence increased with age from 2% and 3% in the people younger than 20-years-of-age to 34.6% and 42.3% in those over 59-years-of-age by the Genelabs and Wantai assay, respectively.\nCONCLUSIONS: The HEV seroprevalence in Korean population is about 20% overall, with seroprevalence increasing in this population with increasing age. There was poor concordance in the results of the Genelabs and Wantai assays, which warrants further study concerning a reliable diagnostic test for the diagnosis of hepatitis E.", 
    "genre": "article", 
    "id": "sg:pub.10.1186/1471-2334-12-142", 
    "inLanguage": "en", 
    "isAccessibleForFree": true, 
    "isPartOf": [
      {
        "id": "sg:journal.1024946", 
        "issn": [
          "1471-2334"
        ], 
        "name": "BMC Infectious Diseases", 
        "publisher": "Springer Nature", 
        "type": "Periodical"
      }, 
      {
        "issueNumber": "1", 
        "type": "PublicationIssue"
      }, 
      {
        "type": "PublicationVolume", 
        "volumeNumber": "12"
      }
    ], 
    "keywords": [
      "hepatitis E virus", 
      "anti-HEV seroprevalence", 
      "Wantai assays", 
      "Korean population", 
      "sporadic acute viral hepatitis", 
      "acute viral hepatitis", 
      "health-check examinees", 
      "reliable diagnostic test", 
      "HEV assays", 
      "anti-HEV", 
      "viral hepatitis", 
      "HEV seroprevalence", 
      "standard population", 
      "important cause", 
      "seroprevalence", 
      "poor concordance", 
      "diagnostic tests", 
      "age", 
      "Wantai", 
      "assays", 
      "virus", 
      "population", 
      "hepatitis", 
      "national census", 
      "Genelabs", 
      "diagnosis", 
      "epidemic", 
      "cause", 
      "concordance", 
      "study", 
      "test", 
      "examinees", 
      "people", 
      "samples", 
      "census", 
      "comparison", 
      "results", 
      "agreement", 
      "performance", 
      "E virus", 
      "sex- adjusted standard population", 
      "Korean National Census", 
      "Serum immunoglobulin G anti-HEV", 
      "immunoglobulin G anti-HEV", 
      "G anti-HEV", 
      "overall anti-HEV seroprevalence", 
      "hepatitis E. Seroprevalence", 
      "E. Seroprevalence", 
      "commercial anti-HEV assays", 
      "anti-HEV assays"
    ], 
    "name": "Seroprevalence of anti-hepatitis E virus (HEV) in a Korean population: comparison of two commercial anti-HEV assays", 
    "pagination": "142-142", 
    "productId": [
      {
        "name": "dimensions_id", 
        "type": "PropertyValue", 
        "value": [
          "pub.1001799408"
        ]
      }, 
      {
        "name": "doi", 
        "type": "PropertyValue", 
        "value": [
          "10.1186/1471-2334-12-142"
        ]
      }, 
      {
        "name": "pubmed_id", 
        "type": "PropertyValue", 
        "value": [
          "22726615"
        ]
      }
    ], 
    "sameAs": [
      "https://doi.org/10.1186/1471-2334-12-142", 
      "https://app.dimensions.ai/details/publication/pub.1001799408"
    ], 
    "sdDataset": "articles", 
    "sdDatePublished": "2022-01-01T18:27", 
    "sdLicense": "https://scigraph.springernature.com/explorer/license/", 
    "sdPublisher": {
      "name": "Springer Nature - SN SciGraph project", 
      "type": "Organization"
    }, 
    "sdSource": "s3://com-springernature-scigraph/baseset/20220101/entities/gbq_results/article/article_570.jsonl", 
    "type": "ScholarlyArticle", 
    "url": "https://doi.org/10.1186/1471-2334-12-142"
  }
]
 

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.10.1186/1471-2334-12-142'

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

curl -H 'Accept: application/n-triples' 'https://scigraph.springernature.com/pub.10.1186/1471-2334-12-142'

Turtle is a human-readable linked data format.

curl -H 'Accept: text/turtle' 'https://scigraph.springernature.com/pub.10.1186/1471-2334-12-142'

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

curl -H 'Accept: application/rdf+xml' 'https://scigraph.springernature.com/pub.10.1186/1471-2334-12-142'


 

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

240 TRIPLES      22 PREDICATES      96 URIs      86 LITERALS      25 BLANK NODES

Subject Predicate Object
1 sg:pub.10.1186/1471-2334-12-142 schema:about N00a19cddc29d440dbfe4134f66cb8daf
2 N119cd36faea2459c91155b596d81047c
3 N2c1e5d5c67cc4bed994239c9f24f8250
4 N3016f408b7b849299cb53a1dbb680dd8
5 N4c5172f9bf594a5db3c1515e1734c17e
6 N4c5624f0661244139a3b810b06d8da40
7 N5a032efe9f4e4f0a8b42d089b31f8dc5
8 N5cd10e5afadd4bc08aec616925b65785
9 N5ce882ac4b504387970813533f65a086
10 N6d3beb44cd6849d4992a7b34702e83af
11 N6d97d63fd17147d0a4719c06f31f7994
12 N7479223b84484c88b36962be8ae0e368
13 Nb5116079d381448d9b3796524229039f
14 Nbd459f94f45e443ebce8b6d6b0125f7d
15 Ncff70bc76f8e47148127fc3c462fefd7
16 Ne2bf7465f7df4a46beb0d7e7277fdef7
17 Ne506e1291768410e99a3d7a69b86eaea
18 Nfd352d499f1842efa626c42eb54a0c26
19 anzsrc-for:11
20 anzsrc-for:1103
21 schema:author Nace914c3a3d14fa6a4e0a0f29fc4261b
22 schema:citation sg:pub.10.1007/s00705-010-0661-9
23 sg:pub.10.1007/s15010-007-7130-8
24 schema:datePublished 2012-06-22
25 schema:datePublishedReg 2012-06-22
26 schema:description BACKGROUND: Hepatitis E virus (HEV) has emerged as an important cause of epidemic and sporadic acute viral hepatitis worldwide. This study investigated the seroprevalence of anti-HEV in a Korean population and compared the performance of two commercially available anti-HEV assays. METHODS: A total 147 health-check examinees were randomly sampled as matched to the age- and sex- adjusted standard population based on the Korean National Census of 2007. Serum immunoglobulin G anti-HEV was determined by using the Genelabs assay (Genelabs, Singapore) and the Wantai assay (Wantai, Beijing, China). RESULTS: The overall anti-HEV seroprevalence was 23.1% (95% CI, 16.1-30.1%) using the Wantai assay and 14.3% (95% CI, 8.3-20.3%) using the Genelabs assay. Only 12 samples (8.1%) were positive for anti-HEV as measured by both assays; agreement between the two assays was poor (kappa value of 0.315). The anti-HEV seroprevalence increased with age from 2% and 3% in the people younger than 20-years-of-age to 34.6% and 42.3% in those over 59-years-of-age by the Genelabs and Wantai assay, respectively. CONCLUSIONS: The HEV seroprevalence in Korean population is about 20% overall, with seroprevalence increasing in this population with increasing age. There was poor concordance in the results of the Genelabs and Wantai assays, which warrants further study concerning a reliable diagnostic test for the diagnosis of hepatitis E.
27 schema:genre article
28 schema:inLanguage en
29 schema:isAccessibleForFree true
30 schema:isPartOf N701c787e35eb4acaa9e7e729968d4ad0
31 Nd8268b9728e54079a0047f4f9858b788
32 sg:journal.1024946
33 schema:keywords E virus
34 E. Seroprevalence
35 G anti-HEV
36 Genelabs
37 HEV assays
38 HEV seroprevalence
39 Korean National Census
40 Korean population
41 Serum immunoglobulin G anti-HEV
42 Wantai
43 Wantai assays
44 acute viral hepatitis
45 age
46 agreement
47 anti-HEV
48 anti-HEV assays
49 anti-HEV seroprevalence
50 assays
51 cause
52 census
53 commercial anti-HEV assays
54 comparison
55 concordance
56 diagnosis
57 diagnostic tests
58 epidemic
59 examinees
60 health-check examinees
61 hepatitis
62 hepatitis E virus
63 hepatitis E. Seroprevalence
64 immunoglobulin G anti-HEV
65 important cause
66 national census
67 overall anti-HEV seroprevalence
68 people
69 performance
70 poor concordance
71 population
72 reliable diagnostic test
73 results
74 samples
75 seroprevalence
76 sex- adjusted standard population
77 sporadic acute viral hepatitis
78 standard population
79 study
80 test
81 viral hepatitis
82 virus
83 schema:name Seroprevalence of anti-hepatitis E virus (HEV) in a Korean population: comparison of two commercial anti-HEV assays
84 schema:pagination 142-142
85 schema:productId N33de674681b3411a9c3192b836ac09bd
86 N57c731fd435746f0b480184994862e5d
87 Nf831b4310abf49c192cf4426c8e84b70
88 schema:sameAs https://app.dimensions.ai/details/publication/pub.1001799408
89 https://doi.org/10.1186/1471-2334-12-142
90 schema:sdDatePublished 2022-01-01T18:27
91 schema:sdLicense https://scigraph.springernature.com/explorer/license/
92 schema:sdPublisher Nd3249a92dfd34b2c9eaa3dfd41a76505
93 schema:url https://doi.org/10.1186/1471-2334-12-142
94 sgo:license sg:explorer/license/
95 sgo:sdDataset articles
96 rdf:type schema:ScholarlyArticle
97 N00477cc15a3d4dd39ea1ff307fc5f175 rdf:first sg:person.014350571460.84
98 rdf:rest N27bebfb35a0c4aad8f8966bd229e44c6
99 N00a19cddc29d440dbfe4134f66cb8daf schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
100 schema:name Humans
101 rdf:type schema:DefinedTerm
102 N0d18bfbad4d741b2939944f88f5f8948 rdf:first sg:person.01064376524.41
103 rdf:rest Na5bab65d61b14f7087ec4967adcb6001
104 N119cd36faea2459c91155b596d81047c schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
105 schema:name Immunoglobulin G
106 rdf:type schema:DefinedTerm
107 N1280111f812444e78b272448e8d887cf rdf:first sg:person.01311212424.28
108 rdf:rest N0d18bfbad4d741b2939944f88f5f8948
109 N2376453d391c4d66bbf6febec167465f schema:affiliation grid-institutes:None
110 schema:familyName Lee
111 schema:givenName Dong Ho
112 rdf:type schema:Person
113 N27bebfb35a0c4aad8f8966bd229e44c6 rdf:first sg:person.0612662613.04
114 rdf:rest rdf:nil
115 N2c1e5d5c67cc4bed994239c9f24f8250 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
116 schema:name Adult
117 rdf:type schema:DefinedTerm
118 N3016f408b7b849299cb53a1dbb680dd8 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
119 schema:name Young Adult
120 rdf:type schema:DefinedTerm
121 N33de674681b3411a9c3192b836ac09bd schema:name dimensions_id
122 schema:value pub.1001799408
123 rdf:type schema:PropertyValue
124 N4c5172f9bf594a5db3c1515e1734c17e schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
125 schema:name Seroepidemiologic Studies
126 rdf:type schema:DefinedTerm
127 N4c5624f0661244139a3b810b06d8da40 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
128 schema:name Antibodies, Viral
129 rdf:type schema:DefinedTerm
130 N57c731fd435746f0b480184994862e5d schema:name doi
131 schema:value 10.1186/1471-2334-12-142
132 rdf:type schema:PropertyValue
133 N5a032efe9f4e4f0a8b42d089b31f8dc5 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
134 schema:name Aged, 80 and over
135 rdf:type schema:DefinedTerm
136 N5cd10e5afadd4bc08aec616925b65785 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
137 schema:name Republic of Korea
138 rdf:type schema:DefinedTerm
139 N5ce882ac4b504387970813533f65a086 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
140 schema:name Hepatitis Antibodies
141 rdf:type schema:DefinedTerm
142 N6d3beb44cd6849d4992a7b34702e83af schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
143 schema:name Female
144 rdf:type schema:DefinedTerm
145 N6d97d63fd17147d0a4719c06f31f7994 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
146 schema:name Hepatitis E virus
147 rdf:type schema:DefinedTerm
148 N701c787e35eb4acaa9e7e729968d4ad0 schema:issueNumber 1
149 rdf:type schema:PublicationIssue
150 N7479223b84484c88b36962be8ae0e368 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
151 schema:name Aged
152 rdf:type schema:DefinedTerm
153 N857f65af9ff74cbd8c19b339da39529c rdf:first N2376453d391c4d66bbf6febec167465f
154 rdf:rest N00477cc15a3d4dd39ea1ff307fc5f175
155 Na5bab65d61b14f7087ec4967adcb6001 rdf:first sg:person.01141432635.65
156 rdf:rest N857f65af9ff74cbd8c19b339da39529c
157 Nace914c3a3d14fa6a4e0a0f29fc4261b rdf:first sg:person.012455464265.88
158 rdf:rest N1280111f812444e78b272448e8d887cf
159 Nb5116079d381448d9b3796524229039f schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
160 schema:name Clinical Laboratory Techniques
161 rdf:type schema:DefinedTerm
162 Nbd459f94f45e443ebce8b6d6b0125f7d schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
163 schema:name Age Factors
164 rdf:type schema:DefinedTerm
165 Ncff70bc76f8e47148127fc3c462fefd7 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
166 schema:name Asian Continental Ancestry Group
167 rdf:type schema:DefinedTerm
168 Nd3249a92dfd34b2c9eaa3dfd41a76505 schema:name Springer Nature - SN SciGraph project
169 rdf:type schema:Organization
170 Nd8268b9728e54079a0047f4f9858b788 schema:volumeNumber 12
171 rdf:type schema:PublicationVolume
172 Ne2bf7465f7df4a46beb0d7e7277fdef7 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
173 schema:name Immunoassay
174 rdf:type schema:DefinedTerm
175 Ne506e1291768410e99a3d7a69b86eaea schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
176 schema:name Male
177 rdf:type schema:DefinedTerm
178 Nf831b4310abf49c192cf4426c8e84b70 schema:name pubmed_id
179 schema:value 22726615
180 rdf:type schema:PropertyValue
181 Nfd352d499f1842efa626c42eb54a0c26 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
182 schema:name Middle Aged
183 rdf:type schema:DefinedTerm
184 anzsrc-for:11 schema:inDefinedTermSet anzsrc-for:
185 schema:name Medical and Health Sciences
186 rdf:type schema:DefinedTerm
187 anzsrc-for:1103 schema:inDefinedTermSet anzsrc-for:
188 schema:name Clinical Sciences
189 rdf:type schema:DefinedTerm
190 sg:journal.1024946 schema:issn 1471-2334
191 schema:name BMC Infectious Diseases
192 schema:publisher Springer Nature
193 rdf:type schema:Periodical
194 sg:person.01064376524.41 schema:affiliation grid-institutes:None
195 schema:familyName Kim
196 schema:givenName Jin-Wook
197 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01064376524.41
198 rdf:type schema:Person
199 sg:person.01141432635.65 schema:affiliation grid-institutes:None
200 schema:familyName Woo
201 schema:givenName Byung-Hyun
202 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01141432635.65
203 rdf:type schema:Person
204 sg:person.012455464265.88 schema:affiliation grid-institutes:None
205 schema:familyName Park
206 schema:givenName Hyun Kyung
207 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.012455464265.88
208 rdf:type schema:Person
209 sg:person.01311212424.28 schema:affiliation grid-institutes:grid.412480.b
210 schema:familyName Jeong
211 schema:givenName Sook-Hyang
212 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01311212424.28
213 rdf:type schema:Person
214 sg:person.014350571460.84 schema:affiliation grid-institutes:None
215 schema:familyName Kim
216 schema:givenName Hyun Young
217 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.014350571460.84
218 rdf:type schema:Person
219 sg:person.0612662613.04 schema:affiliation grid-institutes:grid.412480.b
220 schema:familyName Ahn
221 schema:givenName Soyeon
222 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0612662613.04
223 rdf:type schema:Person
224 sg:pub.10.1007/s00705-010-0661-9 schema:sameAs https://app.dimensions.ai/details/publication/pub.1019452857
225 https://doi.org/10.1007/s00705-010-0661-9
226 rdf:type schema:CreativeWork
227 sg:pub.10.1007/s15010-007-7130-8 schema:sameAs https://app.dimensions.ai/details/publication/pub.1034038459
228 https://doi.org/10.1007/s15010-007-7130-8
229 rdf:type schema:CreativeWork
230 grid-institutes:None schema:alternateName Department of Internal Medicine, Gumi-dong 300, Bundang-gu, Seongnam-si, Gyeonggi-do, South Korea
231 Health Promotion Center, Gumi-dong 300, Bundang-gu, Seongnam-si, Gyeonggi-do, South Korea
232 schema:name Department of Internal Medicine, Gumi-dong 300, Bundang-gu, Seongnam-si, Gyeonggi-do, South Korea
233 Health Promotion Center, Gumi-dong 300, Bundang-gu, Seongnam-si, Gyeonggi-do, South Korea
234 rdf:type schema:Organization
235 grid-institutes:grid.412480.b schema:alternateName Department of Internal Medicine, Seoul National University Bundang Hospital, Gumi-dong 300, Bundang-gu, Seongnam-si, Gyeonggi-do, South Korea
236 Medical Research Collaborating Center, Seoul National University Bundang Hospital, Gumi-dong 300, Bundang-gu, Seongnam-si, Gyeonggi-do, South Korea
237 schema:name Department of Internal Medicine, Gumi-dong 300, Bundang-gu, Seongnam-si, Gyeonggi-do, South Korea
238 Department of Internal Medicine, Seoul National University Bundang Hospital, Gumi-dong 300, Bundang-gu, Seongnam-si, Gyeonggi-do, South Korea
239 Medical Research Collaborating Center, Seoul National University Bundang Hospital, Gumi-dong 300, Bundang-gu, Seongnam-si, Gyeonggi-do, South Korea
240 rdf:type schema:Organization
 




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


...