Estimation of the effective reproduction number of influenza based on weekly reports in Miyazaki Prefecture View Full Text


Ontology type: schema:ScholarlyArticle      Open Access: True


Article Info

DATE

2019-12

AUTHORS

Takenori Yamauchi, Shouhei Takeuchi, Yuko Yamano, Yoshiki Kuroda, Toshio Nakadate

ABSTRACT

In Japan, as part of surveillance for seasonal influenza, the number of patients per influenza sentinel site is counted on a weekly basis. Currently, reference values are set for the weekly reported number of influenza cases per sentinel, and pre-epidemic and epidemic warnings are issued based on these values. In this study, we examined the association between these reference values and the effective reproduction number (Rt) using surveillance data for Miyazaki Prefecture collected from 2010 to 2011. There are nine public health centre jurisdictions in this prefecture, and Rt exceeded 1.0 at the time when pre-epidemic warnings were issued in almost all the jurisdictions. Thus, it was indicated that the validity of the reference value was also high for influenza transmission. However, our results indicated the presence of secondary epidemic caused by infections originating both from other jurisdictions and inner jurisdictions, and it is occasionally not possible to evaluate the end of an epidemic in a jurisdiction using only the reference value of termination. It is necessary to establish new methods after considering the situation in the surrounding jurisdictions for more detailed epidemic predictions. More... »

PAGES

2539

References to SciGraph publications

Identifiers

URI

http://scigraph.springernature.com/pub.10.1038/s41598-019-39057-w

DOI

http://dx.doi.org/10.1038/s41598-019-39057-w

DIMENSIONS

https://app.dimensions.ai/details/publication/pub.1112308351

PUBMED

https://www.ncbi.nlm.nih.gov/pubmed/30796315


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/2008/1117", 
        "inDefinedTermSet": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/", 
        "name": "Public Health and Health Services", 
        "type": "DefinedTerm"
      }, 
      {
        "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"
      }
    ], 
    "author": [
      {
        "affiliation": {
          "alternateName": "Showa University", 
          "id": "https://www.grid.ac/institutes/grid.410714.7", 
          "name": [
            "Department of Hygiene, Public Health and Preventive Medicine Showa University, School of Medicine, Tokyo, Japan"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Yamauchi", 
        "givenName": "Takenori", 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Nagasaki University", 
          "id": "https://www.grid.ac/institutes/grid.174567.6", 
          "name": [
            "Department of Nutrition Science, Faculty of Nursing and Nutrition, University of Nagasaki, Nagasaki, Japan"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Takeuchi", 
        "givenName": "Shouhei", 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Showa University", 
          "id": "https://www.grid.ac/institutes/grid.410714.7", 
          "name": [
            "Department of Hygiene, Public Health and Preventive Medicine Showa University, School of Medicine, Tokyo, Japan"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Yamano", 
        "givenName": "Yuko", 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "University of Miyazaki", 
          "id": "https://www.grid.ac/institutes/grid.410849.0", 
          "name": [
            "Department of Public Health, Faculty of Medicine, University of Miyazaki, Miyazaki, Japan"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Kuroda", 
        "givenName": "Yoshiki", 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Showa University", 
          "id": "https://www.grid.ac/institutes/grid.410714.7", 
          "name": [
            "Department of Hygiene, Public Health and Preventive Medicine Showa University, School of Medicine, Tokyo, Japan"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Nakadate", 
        "givenName": "Toshio", 
        "type": "Person"
      }
    ], 
    "citation": [
      {
        "id": "https://doi.org/10.1111/j.1365-3156.2006.01560.x", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1003580118"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1111/j.1365-3156.2006.01560.x", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1003580118"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1038/nature04017", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1004855651", 
          "https://doi.org/10.1038/nature04017"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1038/nature04017", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1004855651", 
          "https://doi.org/10.1038/nature04017"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1038/nature04017", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1004855651", 
          "https://doi.org/10.1038/nature04017"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1098/rsif.2009.0153", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1013007185"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.2188/jea.14.33", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1013043056"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.2188/jea.17.s3", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1017861637"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1111/j.1750-2659.2011.00234.x", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1018690941"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1093/aje/kwh255", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1028334231"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1056/nejmoa0906089", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1030448983"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1097/ede.0b013e31819d1092", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1031316764"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1097/ede.0b013e31819d1092", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1031316764"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1097/ede.0b013e31819d1092", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1031316764"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1098/rsif.2006.0161", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1039493142"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1056/nejmoa0905498", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1042060084"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1371/journal.pone.0001498", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1044515764"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1093/aje/kwt133", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1046089898"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1093/aje/kws402", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1047250205"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.2188/jea.17.s23", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1048231954"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1371/journal.pcbi.1005210", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1051141578"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1126/science.1177373", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1062460427"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1126/science.1177373", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1062460427"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.2807/1560-7917.es2014.19.36.20894", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1070926309"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://app.dimensions.ai/details/publication/pub.1074758853", 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://app.dimensions.ai/details/publication/pub.1077409473", 
        "type": "CreativeWork"
      }
    ], 
    "datePublished": "2019-12", 
    "datePublishedReg": "2019-12-01", 
    "description": "In Japan, as part of surveillance for seasonal influenza, the number of patients per influenza sentinel site is counted on a weekly basis. Currently, reference values are set for the weekly reported number of influenza cases per sentinel, and pre-epidemic and epidemic warnings are issued based on these values. In this study, we examined the association between these reference values and the effective reproduction number (Rt) using surveillance data for Miyazaki Prefecture collected from 2010 to 2011. There are nine public health centre jurisdictions in this prefecture, and Rt exceeded 1.0 at the time when pre-epidemic warnings were issued in almost all the jurisdictions. Thus, it was indicated that the validity of the reference value was also high for influenza transmission. However, our results indicated the presence of secondary epidemic caused by infections originating both from other jurisdictions and inner jurisdictions, and it is occasionally not possible to evaluate the end of an epidemic in a jurisdiction using only the reference value of termination. It is necessary to establish new methods after considering the situation in the surrounding jurisdictions for more detailed epidemic predictions.", 
    "genre": "research_article", 
    "id": "sg:pub.10.1038/s41598-019-39057-w", 
    "inLanguage": [
      "en"
    ], 
    "isAccessibleForFree": true, 
    "isPartOf": [
      {
        "id": "sg:journal.1045337", 
        "issn": [
          "2045-2322"
        ], 
        "name": "Scientific Reports", 
        "type": "Periodical"
      }, 
      {
        "issueNumber": "1", 
        "type": "PublicationIssue"
      }, 
      {
        "type": "PublicationVolume", 
        "volumeNumber": "9"
      }
    ], 
    "name": "Estimation of the effective reproduction number of influenza based on weekly reports in Miyazaki Prefecture", 
    "pagination": "2539", 
    "productId": [
      {
        "name": "readcube_id", 
        "type": "PropertyValue", 
        "value": [
          "a9dbd7f8187616cb07c9f992a8f4e8da8bafcfcd5e137cc73288f3bd93e7d608"
        ]
      }, 
      {
        "name": "pubmed_id", 
        "type": "PropertyValue", 
        "value": [
          "30796315"
        ]
      }, 
      {
        "name": "nlm_unique_id", 
        "type": "PropertyValue", 
        "value": [
          "101563288"
        ]
      }, 
      {
        "name": "doi", 
        "type": "PropertyValue", 
        "value": [
          "10.1038/s41598-019-39057-w"
        ]
      }, 
      {
        "name": "dimensions_id", 
        "type": "PropertyValue", 
        "value": [
          "pub.1112308351"
        ]
      }
    ], 
    "sameAs": [
      "https://doi.org/10.1038/s41598-019-39057-w", 
      "https://app.dimensions.ai/details/publication/pub.1112308351"
    ], 
    "sdDataset": "articles", 
    "sdDatePublished": "2019-04-11T10:35", 
    "sdLicense": "https://scigraph.springernature.com/explorer/license/", 
    "sdPublisher": {
      "name": "Springer Nature - SN SciGraph project", 
      "type": "Organization"
    }, 
    "sdSource": "s3://com-uberresearch-data-dimensions-target-20181106-alternative/cleanup/v134/2549eaecd7973599484d7c17b260dba0a4ecb94b/merge/v9/a6c9fde33151104705d4d7ff012ea9563521a3ce/jats-lookup/v90/0000000349_0000000349/records_113664_00000005.jsonl", 
    "type": "ScholarlyArticle", 
    "url": "https://www.nature.com/articles/s41598-019-39057-w"
  }
]
 

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.10.1038/s41598-019-39057-w'

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

curl -H 'Accept: application/n-triples' 'https://scigraph.springernature.com/pub.10.1038/s41598-019-39057-w'

Turtle is a human-readable linked data format.

curl -H 'Accept: text/turtle' 'https://scigraph.springernature.com/pub.10.1038/s41598-019-39057-w'

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

curl -H 'Accept: application/rdf+xml' 'https://scigraph.springernature.com/pub.10.1038/s41598-019-39057-w'


 

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

156 TRIPLES      21 PREDICATES      49 URIs      21 LITERALS      9 BLANK NODES

Subject Predicate Object
1 sg:pub.10.1038/s41598-019-39057-w schema:about anzsrc-for:11
2 anzsrc-for:1117
3 schema:author Ne9e43e4bcde8456f920b0cb35cb65a96
4 schema:citation sg:pub.10.1038/nature04017
5 https://app.dimensions.ai/details/publication/pub.1074758853
6 https://app.dimensions.ai/details/publication/pub.1077409473
7 https://doi.org/10.1056/nejmoa0905498
8 https://doi.org/10.1056/nejmoa0906089
9 https://doi.org/10.1093/aje/kwh255
10 https://doi.org/10.1093/aje/kws402
11 https://doi.org/10.1093/aje/kwt133
12 https://doi.org/10.1097/ede.0b013e31819d1092
13 https://doi.org/10.1098/rsif.2006.0161
14 https://doi.org/10.1098/rsif.2009.0153
15 https://doi.org/10.1111/j.1365-3156.2006.01560.x
16 https://doi.org/10.1111/j.1750-2659.2011.00234.x
17 https://doi.org/10.1126/science.1177373
18 https://doi.org/10.1371/journal.pcbi.1005210
19 https://doi.org/10.1371/journal.pone.0001498
20 https://doi.org/10.2188/jea.14.33
21 https://doi.org/10.2188/jea.17.s23
22 https://doi.org/10.2188/jea.17.s3
23 https://doi.org/10.2807/1560-7917.es2014.19.36.20894
24 schema:datePublished 2019-12
25 schema:datePublishedReg 2019-12-01
26 schema:description In Japan, as part of surveillance for seasonal influenza, the number of patients per influenza sentinel site is counted on a weekly basis. Currently, reference values are set for the weekly reported number of influenza cases per sentinel, and pre-epidemic and epidemic warnings are issued based on these values. In this study, we examined the association between these reference values and the effective reproduction number (R<sub>t</sub>) using surveillance data for Miyazaki Prefecture collected from 2010 to 2011. There are nine public health centre jurisdictions in this prefecture, and R<sub>t</sub> exceeded 1.0 at the time when pre-epidemic warnings were issued in almost all the jurisdictions. Thus, it was indicated that the validity of the reference value was also high for influenza transmission. However, our results indicated the presence of secondary epidemic caused by infections originating both from other jurisdictions and inner jurisdictions, and it is occasionally not possible to evaluate the end of an epidemic in a jurisdiction using only the reference value of termination. It is necessary to establish new methods after considering the situation in the surrounding jurisdictions for more detailed epidemic predictions.
27 schema:genre research_article
28 schema:inLanguage en
29 schema:isAccessibleForFree true
30 schema:isPartOf N21e07700e66c4e479921538bfc9186b7
31 N4d9bddbb965747bea10941b24a02edac
32 sg:journal.1045337
33 schema:name Estimation of the effective reproduction number of influenza based on weekly reports in Miyazaki Prefecture
34 schema:pagination 2539
35 schema:productId N2a5a86cab689496481b2d35b0c9b147a
36 N5b053683c0f14c94b5592cccec4cd5b9
37 N62b3365fe4fd472e8e82d8bf143a3185
38 N90cde937240d42979ffcd87bd12aaf56
39 Nc45d5ba273dc4a0fbbbd47f5e0e1b317
40 schema:sameAs https://app.dimensions.ai/details/publication/pub.1112308351
41 https://doi.org/10.1038/s41598-019-39057-w
42 schema:sdDatePublished 2019-04-11T10:35
43 schema:sdLicense https://scigraph.springernature.com/explorer/license/
44 schema:sdPublisher N5e3ffb7d706146458c89da8766c5d6cd
45 schema:url https://www.nature.com/articles/s41598-019-39057-w
46 sgo:license sg:explorer/license/
47 sgo:sdDataset articles
48 rdf:type schema:ScholarlyArticle
49 N1b797efa91a64219b2214165917de92e schema:affiliation https://www.grid.ac/institutes/grid.410714.7
50 schema:familyName Yamauchi
51 schema:givenName Takenori
52 rdf:type schema:Person
53 N21e07700e66c4e479921538bfc9186b7 schema:volumeNumber 9
54 rdf:type schema:PublicationVolume
55 N2a5a86cab689496481b2d35b0c9b147a schema:name pubmed_id
56 schema:value 30796315
57 rdf:type schema:PropertyValue
58 N3a771a9c949c4188a77e3e4494120164 rdf:first Nbc96f3cefc684c2fb8a9e6ccfe50faf3
59 rdf:rest rdf:nil
60 N4d9bddbb965747bea10941b24a02edac schema:issueNumber 1
61 rdf:type schema:PublicationIssue
62 N5415fc084e2e41f5815cfa6e7da341b1 rdf:first N964a7bb9daf743b5b40bfc83ee8b63d3
63 rdf:rest N3a771a9c949c4188a77e3e4494120164
64 N5b053683c0f14c94b5592cccec4cd5b9 schema:name nlm_unique_id
65 schema:value 101563288
66 rdf:type schema:PropertyValue
67 N5e3ffb7d706146458c89da8766c5d6cd schema:name Springer Nature - SN SciGraph project
68 rdf:type schema:Organization
69 N62b3365fe4fd472e8e82d8bf143a3185 schema:name dimensions_id
70 schema:value pub.1112308351
71 rdf:type schema:PropertyValue
72 N90cde937240d42979ffcd87bd12aaf56 schema:name doi
73 schema:value 10.1038/s41598-019-39057-w
74 rdf:type schema:PropertyValue
75 N964a7bb9daf743b5b40bfc83ee8b63d3 schema:affiliation https://www.grid.ac/institutes/grid.410849.0
76 schema:familyName Kuroda
77 schema:givenName Yoshiki
78 rdf:type schema:Person
79 N99a12f82ad0a4176aa44f790320f1bab rdf:first Nd9bf7b1311a446f2a80b18dfdfdd3d4a
80 rdf:rest Na5f22978921c4e51893701ab3f7a4bc5
81 Na5f22978921c4e51893701ab3f7a4bc5 rdf:first Ne34ea578265343de93d9640f8cfc40b1
82 rdf:rest N5415fc084e2e41f5815cfa6e7da341b1
83 Nbc96f3cefc684c2fb8a9e6ccfe50faf3 schema:affiliation https://www.grid.ac/institutes/grid.410714.7
84 schema:familyName Nakadate
85 schema:givenName Toshio
86 rdf:type schema:Person
87 Nc45d5ba273dc4a0fbbbd47f5e0e1b317 schema:name readcube_id
88 schema:value a9dbd7f8187616cb07c9f992a8f4e8da8bafcfcd5e137cc73288f3bd93e7d608
89 rdf:type schema:PropertyValue
90 Nd9bf7b1311a446f2a80b18dfdfdd3d4a schema:affiliation https://www.grid.ac/institutes/grid.174567.6
91 schema:familyName Takeuchi
92 schema:givenName Shouhei
93 rdf:type schema:Person
94 Ne34ea578265343de93d9640f8cfc40b1 schema:affiliation https://www.grid.ac/institutes/grid.410714.7
95 schema:familyName Yamano
96 schema:givenName Yuko
97 rdf:type schema:Person
98 Ne9e43e4bcde8456f920b0cb35cb65a96 rdf:first N1b797efa91a64219b2214165917de92e
99 rdf:rest N99a12f82ad0a4176aa44f790320f1bab
100 anzsrc-for:11 schema:inDefinedTermSet anzsrc-for:
101 schema:name Medical and Health Sciences
102 rdf:type schema:DefinedTerm
103 anzsrc-for:1117 schema:inDefinedTermSet anzsrc-for:
104 schema:name Public Health and Health Services
105 rdf:type schema:DefinedTerm
106 sg:journal.1045337 schema:issn 2045-2322
107 schema:name Scientific Reports
108 rdf:type schema:Periodical
109 sg:pub.10.1038/nature04017 schema:sameAs https://app.dimensions.ai/details/publication/pub.1004855651
110 https://doi.org/10.1038/nature04017
111 rdf:type schema:CreativeWork
112 https://app.dimensions.ai/details/publication/pub.1074758853 schema:CreativeWork
113 https://app.dimensions.ai/details/publication/pub.1077409473 schema:CreativeWork
114 https://doi.org/10.1056/nejmoa0905498 schema:sameAs https://app.dimensions.ai/details/publication/pub.1042060084
115 rdf:type schema:CreativeWork
116 https://doi.org/10.1056/nejmoa0906089 schema:sameAs https://app.dimensions.ai/details/publication/pub.1030448983
117 rdf:type schema:CreativeWork
118 https://doi.org/10.1093/aje/kwh255 schema:sameAs https://app.dimensions.ai/details/publication/pub.1028334231
119 rdf:type schema:CreativeWork
120 https://doi.org/10.1093/aje/kws402 schema:sameAs https://app.dimensions.ai/details/publication/pub.1047250205
121 rdf:type schema:CreativeWork
122 https://doi.org/10.1093/aje/kwt133 schema:sameAs https://app.dimensions.ai/details/publication/pub.1046089898
123 rdf:type schema:CreativeWork
124 https://doi.org/10.1097/ede.0b013e31819d1092 schema:sameAs https://app.dimensions.ai/details/publication/pub.1031316764
125 rdf:type schema:CreativeWork
126 https://doi.org/10.1098/rsif.2006.0161 schema:sameAs https://app.dimensions.ai/details/publication/pub.1039493142
127 rdf:type schema:CreativeWork
128 https://doi.org/10.1098/rsif.2009.0153 schema:sameAs https://app.dimensions.ai/details/publication/pub.1013007185
129 rdf:type schema:CreativeWork
130 https://doi.org/10.1111/j.1365-3156.2006.01560.x schema:sameAs https://app.dimensions.ai/details/publication/pub.1003580118
131 rdf:type schema:CreativeWork
132 https://doi.org/10.1111/j.1750-2659.2011.00234.x schema:sameAs https://app.dimensions.ai/details/publication/pub.1018690941
133 rdf:type schema:CreativeWork
134 https://doi.org/10.1126/science.1177373 schema:sameAs https://app.dimensions.ai/details/publication/pub.1062460427
135 rdf:type schema:CreativeWork
136 https://doi.org/10.1371/journal.pcbi.1005210 schema:sameAs https://app.dimensions.ai/details/publication/pub.1051141578
137 rdf:type schema:CreativeWork
138 https://doi.org/10.1371/journal.pone.0001498 schema:sameAs https://app.dimensions.ai/details/publication/pub.1044515764
139 rdf:type schema:CreativeWork
140 https://doi.org/10.2188/jea.14.33 schema:sameAs https://app.dimensions.ai/details/publication/pub.1013043056
141 rdf:type schema:CreativeWork
142 https://doi.org/10.2188/jea.17.s23 schema:sameAs https://app.dimensions.ai/details/publication/pub.1048231954
143 rdf:type schema:CreativeWork
144 https://doi.org/10.2188/jea.17.s3 schema:sameAs https://app.dimensions.ai/details/publication/pub.1017861637
145 rdf:type schema:CreativeWork
146 https://doi.org/10.2807/1560-7917.es2014.19.36.20894 schema:sameAs https://app.dimensions.ai/details/publication/pub.1070926309
147 rdf:type schema:CreativeWork
148 https://www.grid.ac/institutes/grid.174567.6 schema:alternateName Nagasaki University
149 schema:name Department of Nutrition Science, Faculty of Nursing and Nutrition, University of Nagasaki, Nagasaki, Japan
150 rdf:type schema:Organization
151 https://www.grid.ac/institutes/grid.410714.7 schema:alternateName Showa University
152 schema:name Department of Hygiene, Public Health and Preventive Medicine Showa University, School of Medicine, Tokyo, Japan
153 rdf:type schema:Organization
154 https://www.grid.ac/institutes/grid.410849.0 schema:alternateName University of Miyazaki
155 schema:name Department of Public Health, Faculty of Medicine, University of Miyazaki, Miyazaki, Japan
156 rdf:type schema:Organization
 




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


...