Severity of self-reported diseases and symptoms in Denmark View Full Text


Ontology type: schema:ScholarlyArticle      Open Access: True


Article Info

DATE

2006-12

AUTHORS

Kim Moesgaard Iburg, Niels Kristian Rasmussen, Kirsten Avlund

ABSTRACT

OBJECTIVE: To estimate and rank the relative severity of self-reported diseases and symptoms in Denmark. METHOD: The 1994 Danish Health and Morbidity Survey collected data from 5,472 Danes older than 16 years of age. Interviews (response frequency: 79%) gave information on diseases and symptoms; a self-administered SF-36 questionnaire (response frequency: 64%) provided information on health-related quality of life. The severity of diseases and symptoms was represented by the health-related quality of life scores that individuals suffering from particular diseases and symptoms obtained on the single dimensions of the SF-36 and on a combined sum of all dimensions. We applied logistic regression to control for the influence of sex, age and socio-economic status on the SF-36 score. We also analysed the interaction between socio-economic status and diseases on the SF-36 score. RESULTS: Females, more frequently than males, reported on all symptoms and all disease groups except injuries. People with relatively low levels of education reported most diseases, especially musculoskeletal and cardiovascular diseases, more frequently than people with higher education. Age-adjusted mean SF-36 scores for all dimensions combined showed that the symptoms of melancholy/depression and breathing difficulties, psychiatric disorders and respiratory diseases scored lowest (i.e. were most often associated with worse health). Females had lower SF-36 combined scores (worse health) than males on all symptoms. We found interaction between socio-economic status and respiratory diseases and musculoskeletal diseases on the SF-36 score. SF-36 scores also indicated significantly worse health among Danes with low education and income levels compared to those with higher education and income. CONCLUSION: In 1994 the Danes most frequently reported musculoskeletal symptoms and diseases. Psychiatric disorders and respiratory diseases were identified as the most severe reported diseases. Due to the interaction between socio-economic status and some diseases, severity estimates should be interpreted with caution or stratified by socio-economic groups. More... »

PAGES

3

Identifiers

URI

http://scigraph.springernature.com/pub.10.1186/1478-7954-4-3

DOI

http://dx.doi.org/10.1186/1478-7954-4-3

DIMENSIONS

https://app.dimensions.ai/details/publication/pub.1017557512

PUBMED

https://www.ncbi.nlm.nih.gov/pubmed/16618374


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": "World Health Organization - Denmark", 
          "id": "https://www.grid.ac/institutes/grid.417252.7", 
          "name": [
            "Division of Information, Evidence and Communication, World Health Organization, Regional Office for Europe, Scherfigsvej 8, DK-2100, Copenhagen, TX, Denmark"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Iburg", 
        "givenName": "Kim Moesgaard", 
        "id": "sg:person.015026543547.13", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.015026543547.13"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Danish National Institute of Public Health", 
          "id": "https://www.grid.ac/institutes/grid.459286.4", 
          "name": [
            "National Institute of Public Health, Copenhagen, Denmark"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Rasmussen", 
        "givenName": "Niels Kristian", 
        "id": "sg:person.016131025324.17", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.016131025324.17"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "University of Copenhagen", 
          "id": "https://www.grid.ac/institutes/grid.5254.6", 
          "name": [
            "Department of Social Medicine, Institute of Public Health, University of Copenhagen, Denmark"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Avlund", 
        "givenName": "Kirsten", 
        "id": "sg:person.0701266235.27", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0701266235.27"
        ], 
        "type": "Person"
      }
    ], 
    "citation": [
      {
        "id": "https://doi.org/10.1016/0277-9536(95)00335-5", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1003408725"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1136/bmj.306.6890.1440", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1008569299"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1136/bmj.305.6846.160", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1009614393"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1093/eurpub/10.1.24", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1012030608"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1093/pubmed/21.1.41", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1015769243"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/s0895-4356(98)00081-x", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1023572253"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/s0895-4356(00)00204-3", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1025724768"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1097/00007632-200012150-00008", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1026714531"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1097/00007632-200012150-00008", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1026714531"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/s0895-4356(98)00092-4", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1032419741"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1023/b:qure.0000018472.46236.05", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1033909970", 
          "https://doi.org/10.1023/b:qure.0000018472.46236.05"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/s0895-4356(98)00111-5", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1039636388"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/s0895-4356(98)00091-2", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1051339183"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/s0168-8510(00)00111-1", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1052906021"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1080/140349401750285719", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1058389432"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1177/14034948010290011401", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1064001260"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1177/14034948010290011401", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1064001260"
        ], 
        "type": "CreativeWork"
      }
    ], 
    "datePublished": "2006-12", 
    "datePublishedReg": "2006-12-01", 
    "description": "OBJECTIVE: To estimate and rank the relative severity of self-reported diseases and symptoms in Denmark.\nMETHOD: The 1994 Danish Health and Morbidity Survey collected data from 5,472 Danes older than 16 years of age. Interviews (response frequency: 79%) gave information on diseases and symptoms; a self-administered SF-36 questionnaire (response frequency: 64%) provided information on health-related quality of life. The severity of diseases and symptoms was represented by the health-related quality of life scores that individuals suffering from particular diseases and symptoms obtained on the single dimensions of the SF-36 and on a combined sum of all dimensions. We applied logistic regression to control for the influence of sex, age and socio-economic status on the SF-36 score. We also analysed the interaction between socio-economic status and diseases on the SF-36 score.\nRESULTS: Females, more frequently than males, reported on all symptoms and all disease groups except injuries. People with relatively low levels of education reported most diseases, especially musculoskeletal and cardiovascular diseases, more frequently than people with higher education. Age-adjusted mean SF-36 scores for all dimensions combined showed that the symptoms of melancholy/depression and breathing difficulties, psychiatric disorders and respiratory diseases scored lowest (i.e. were most often associated with worse health). Females had lower SF-36 combined scores (worse health) than males on all symptoms. We found interaction between socio-economic status and respiratory diseases and musculoskeletal diseases on the SF-36 score. SF-36 scores also indicated significantly worse health among Danes with low education and income levels compared to those with higher education and income.\nCONCLUSION: In 1994 the Danes most frequently reported musculoskeletal symptoms and diseases. Psychiatric disorders and respiratory diseases were identified as the most severe reported diseases. Due to the interaction between socio-economic status and some diseases, severity estimates should be interpreted with caution or stratified by socio-economic groups.", 
    "genre": "research_article", 
    "id": "sg:pub.10.1186/1478-7954-4-3", 
    "inLanguage": [
      "en"
    ], 
    "isAccessibleForFree": true, 
    "isPartOf": [
      {
        "id": "sg:journal.1032338", 
        "issn": [
          "1478-7954"
        ], 
        "name": "Population Health Metrics", 
        "type": "Periodical"
      }, 
      {
        "issueNumber": "1", 
        "type": "PublicationIssue"
      }, 
      {
        "type": "PublicationVolume", 
        "volumeNumber": "4"
      }
    ], 
    "name": "Severity of self-reported diseases and symptoms in Denmark", 
    "pagination": "3", 
    "productId": [
      {
        "name": "readcube_id", 
        "type": "PropertyValue", 
        "value": [
          "53a6e95584ce3a39b4f43031e1c811fb7a8d16940b2fbc478451383a77a5557b"
        ]
      }, 
      {
        "name": "pubmed_id", 
        "type": "PropertyValue", 
        "value": [
          "16618374"
        ]
      }, 
      {
        "name": "nlm_unique_id", 
        "type": "PropertyValue", 
        "value": [
          "101178411"
        ]
      }, 
      {
        "name": "doi", 
        "type": "PropertyValue", 
        "value": [
          "10.1186/1478-7954-4-3"
        ]
      }, 
      {
        "name": "dimensions_id", 
        "type": "PropertyValue", 
        "value": [
          "pub.1017557512"
        ]
      }
    ], 
    "sameAs": [
      "https://doi.org/10.1186/1478-7954-4-3", 
      "https://app.dimensions.ai/details/publication/pub.1017557512"
    ], 
    "sdDataset": "articles", 
    "sdDatePublished": "2019-04-10T15:00", 
    "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/v90/0000000001_0000000264/records_8663_00000511.jsonl", 
    "type": "ScholarlyArticle", 
    "url": "http://link.springer.com/10.1186%2F1478-7954-4-3"
  }
]
 

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.10.1186/1478-7954-4-3'

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

curl -H 'Accept: application/n-triples' 'https://scigraph.springernature.com/pub.10.1186/1478-7954-4-3'

Turtle is a human-readable linked data format.

curl -H 'Accept: text/turtle' 'https://scigraph.springernature.com/pub.10.1186/1478-7954-4-3'

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

curl -H 'Accept: application/rdf+xml' 'https://scigraph.springernature.com/pub.10.1186/1478-7954-4-3'


 

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

134 TRIPLES      21 PREDICATES      44 URIs      21 LITERALS      9 BLANK NODES

Subject Predicate Object
1 sg:pub.10.1186/1478-7954-4-3 schema:about anzsrc-for:11
2 anzsrc-for:1117
3 schema:author N74bbc61ad3194247ba2c8cec0d151fd2
4 schema:citation sg:pub.10.1023/b:qure.0000018472.46236.05
5 https://doi.org/10.1016/0277-9536(95)00335-5
6 https://doi.org/10.1016/s0168-8510(00)00111-1
7 https://doi.org/10.1016/s0895-4356(00)00204-3
8 https://doi.org/10.1016/s0895-4356(98)00081-x
9 https://doi.org/10.1016/s0895-4356(98)00091-2
10 https://doi.org/10.1016/s0895-4356(98)00092-4
11 https://doi.org/10.1016/s0895-4356(98)00111-5
12 https://doi.org/10.1080/140349401750285719
13 https://doi.org/10.1093/eurpub/10.1.24
14 https://doi.org/10.1093/pubmed/21.1.41
15 https://doi.org/10.1097/00007632-200012150-00008
16 https://doi.org/10.1136/bmj.305.6846.160
17 https://doi.org/10.1136/bmj.306.6890.1440
18 https://doi.org/10.1177/14034948010290011401
19 schema:datePublished 2006-12
20 schema:datePublishedReg 2006-12-01
21 schema:description OBJECTIVE: To estimate and rank the relative severity of self-reported diseases and symptoms in Denmark. METHOD: The 1994 Danish Health and Morbidity Survey collected data from 5,472 Danes older than 16 years of age. Interviews (response frequency: 79%) gave information on diseases and symptoms; a self-administered SF-36 questionnaire (response frequency: 64%) provided information on health-related quality of life. The severity of diseases and symptoms was represented by the health-related quality of life scores that individuals suffering from particular diseases and symptoms obtained on the single dimensions of the SF-36 and on a combined sum of all dimensions. We applied logistic regression to control for the influence of sex, age and socio-economic status on the SF-36 score. We also analysed the interaction between socio-economic status and diseases on the SF-36 score. RESULTS: Females, more frequently than males, reported on all symptoms and all disease groups except injuries. People with relatively low levels of education reported most diseases, especially musculoskeletal and cardiovascular diseases, more frequently than people with higher education. Age-adjusted mean SF-36 scores for all dimensions combined showed that the symptoms of melancholy/depression and breathing difficulties, psychiatric disorders and respiratory diseases scored lowest (i.e. were most often associated with worse health). Females had lower SF-36 combined scores (worse health) than males on all symptoms. We found interaction between socio-economic status and respiratory diseases and musculoskeletal diseases on the SF-36 score. SF-36 scores also indicated significantly worse health among Danes with low education and income levels compared to those with higher education and income. CONCLUSION: In 1994 the Danes most frequently reported musculoskeletal symptoms and diseases. Psychiatric disorders and respiratory diseases were identified as the most severe reported diseases. Due to the interaction between socio-economic status and some diseases, severity estimates should be interpreted with caution or stratified by socio-economic groups.
22 schema:genre research_article
23 schema:inLanguage en
24 schema:isAccessibleForFree true
25 schema:isPartOf N6008e87daf7544c7a6c868424307f320
26 Nb4c883fbe22b458baf7bdc925bd44c59
27 sg:journal.1032338
28 schema:name Severity of self-reported diseases and symptoms in Denmark
29 schema:pagination 3
30 schema:productId N0080fa9681244bc9bc3de10147484f1b
31 N1a1250ac4a604da2a28d8a28b82b6718
32 N2aa6e815dd04421f90c507e4fc997297
33 N3a37ad0b1cb04231aa486a6496aa584b
34 N680059d1e23a495499d97a9a9ac95036
35 schema:sameAs https://app.dimensions.ai/details/publication/pub.1017557512
36 https://doi.org/10.1186/1478-7954-4-3
37 schema:sdDatePublished 2019-04-10T15:00
38 schema:sdLicense https://scigraph.springernature.com/explorer/license/
39 schema:sdPublisher Nd426f1a9c5214084a1b3c9c488856225
40 schema:url http://link.springer.com/10.1186%2F1478-7954-4-3
41 sgo:license sg:explorer/license/
42 sgo:sdDataset articles
43 rdf:type schema:ScholarlyArticle
44 N0080fa9681244bc9bc3de10147484f1b schema:name doi
45 schema:value 10.1186/1478-7954-4-3
46 rdf:type schema:PropertyValue
47 N1a1250ac4a604da2a28d8a28b82b6718 schema:name readcube_id
48 schema:value 53a6e95584ce3a39b4f43031e1c811fb7a8d16940b2fbc478451383a77a5557b
49 rdf:type schema:PropertyValue
50 N2aa6e815dd04421f90c507e4fc997297 schema:name pubmed_id
51 schema:value 16618374
52 rdf:type schema:PropertyValue
53 N3a37ad0b1cb04231aa486a6496aa584b schema:name dimensions_id
54 schema:value pub.1017557512
55 rdf:type schema:PropertyValue
56 N6008e87daf7544c7a6c868424307f320 schema:issueNumber 1
57 rdf:type schema:PublicationIssue
58 N680059d1e23a495499d97a9a9ac95036 schema:name nlm_unique_id
59 schema:value 101178411
60 rdf:type schema:PropertyValue
61 N74bbc61ad3194247ba2c8cec0d151fd2 rdf:first sg:person.015026543547.13
62 rdf:rest N96f0ce1ed8d54d82bbbf22246e965032
63 N8a2ac6e30d864fa5a58799b14f89dc4d rdf:first sg:person.0701266235.27
64 rdf:rest rdf:nil
65 N96f0ce1ed8d54d82bbbf22246e965032 rdf:first sg:person.016131025324.17
66 rdf:rest N8a2ac6e30d864fa5a58799b14f89dc4d
67 Nb4c883fbe22b458baf7bdc925bd44c59 schema:volumeNumber 4
68 rdf:type schema:PublicationVolume
69 Nd426f1a9c5214084a1b3c9c488856225 schema:name Springer Nature - SN SciGraph project
70 rdf:type schema:Organization
71 anzsrc-for:11 schema:inDefinedTermSet anzsrc-for:
72 schema:name Medical and Health Sciences
73 rdf:type schema:DefinedTerm
74 anzsrc-for:1117 schema:inDefinedTermSet anzsrc-for:
75 schema:name Public Health and Health Services
76 rdf:type schema:DefinedTerm
77 sg:journal.1032338 schema:issn 1478-7954
78 schema:name Population Health Metrics
79 rdf:type schema:Periodical
80 sg:person.015026543547.13 schema:affiliation https://www.grid.ac/institutes/grid.417252.7
81 schema:familyName Iburg
82 schema:givenName Kim Moesgaard
83 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.015026543547.13
84 rdf:type schema:Person
85 sg:person.016131025324.17 schema:affiliation https://www.grid.ac/institutes/grid.459286.4
86 schema:familyName Rasmussen
87 schema:givenName Niels Kristian
88 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.016131025324.17
89 rdf:type schema:Person
90 sg:person.0701266235.27 schema:affiliation https://www.grid.ac/institutes/grid.5254.6
91 schema:familyName Avlund
92 schema:givenName Kirsten
93 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0701266235.27
94 rdf:type schema:Person
95 sg:pub.10.1023/b:qure.0000018472.46236.05 schema:sameAs https://app.dimensions.ai/details/publication/pub.1033909970
96 https://doi.org/10.1023/b:qure.0000018472.46236.05
97 rdf:type schema:CreativeWork
98 https://doi.org/10.1016/0277-9536(95)00335-5 schema:sameAs https://app.dimensions.ai/details/publication/pub.1003408725
99 rdf:type schema:CreativeWork
100 https://doi.org/10.1016/s0168-8510(00)00111-1 schema:sameAs https://app.dimensions.ai/details/publication/pub.1052906021
101 rdf:type schema:CreativeWork
102 https://doi.org/10.1016/s0895-4356(00)00204-3 schema:sameAs https://app.dimensions.ai/details/publication/pub.1025724768
103 rdf:type schema:CreativeWork
104 https://doi.org/10.1016/s0895-4356(98)00081-x schema:sameAs https://app.dimensions.ai/details/publication/pub.1023572253
105 rdf:type schema:CreativeWork
106 https://doi.org/10.1016/s0895-4356(98)00091-2 schema:sameAs https://app.dimensions.ai/details/publication/pub.1051339183
107 rdf:type schema:CreativeWork
108 https://doi.org/10.1016/s0895-4356(98)00092-4 schema:sameAs https://app.dimensions.ai/details/publication/pub.1032419741
109 rdf:type schema:CreativeWork
110 https://doi.org/10.1016/s0895-4356(98)00111-5 schema:sameAs https://app.dimensions.ai/details/publication/pub.1039636388
111 rdf:type schema:CreativeWork
112 https://doi.org/10.1080/140349401750285719 schema:sameAs https://app.dimensions.ai/details/publication/pub.1058389432
113 rdf:type schema:CreativeWork
114 https://doi.org/10.1093/eurpub/10.1.24 schema:sameAs https://app.dimensions.ai/details/publication/pub.1012030608
115 rdf:type schema:CreativeWork
116 https://doi.org/10.1093/pubmed/21.1.41 schema:sameAs https://app.dimensions.ai/details/publication/pub.1015769243
117 rdf:type schema:CreativeWork
118 https://doi.org/10.1097/00007632-200012150-00008 schema:sameAs https://app.dimensions.ai/details/publication/pub.1026714531
119 rdf:type schema:CreativeWork
120 https://doi.org/10.1136/bmj.305.6846.160 schema:sameAs https://app.dimensions.ai/details/publication/pub.1009614393
121 rdf:type schema:CreativeWork
122 https://doi.org/10.1136/bmj.306.6890.1440 schema:sameAs https://app.dimensions.ai/details/publication/pub.1008569299
123 rdf:type schema:CreativeWork
124 https://doi.org/10.1177/14034948010290011401 schema:sameAs https://app.dimensions.ai/details/publication/pub.1064001260
125 rdf:type schema:CreativeWork
126 https://www.grid.ac/institutes/grid.417252.7 schema:alternateName World Health Organization - Denmark
127 schema:name Division of Information, Evidence and Communication, World Health Organization, Regional Office for Europe, Scherfigsvej 8, DK-2100, Copenhagen, TX, Denmark
128 rdf:type schema:Organization
129 https://www.grid.ac/institutes/grid.459286.4 schema:alternateName Danish National Institute of Public Health
130 schema:name National Institute of Public Health, Copenhagen, Denmark
131 rdf:type schema:Organization
132 https://www.grid.ac/institutes/grid.5254.6 schema:alternateName University of Copenhagen
133 schema:name Department of Social Medicine, Institute of Public Health, University of Copenhagen, Denmark
134 rdf:type schema:Organization
 




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


...