Using Routinely Collected Administrative Data in Public Health Research: Geocoding Alcohol Outlet Data View Full Text


Ontology type: schema:ScholarlyArticle      Open Access: True


Article Info

DATE

2017-06

AUTHORS

Richard J. Fry, Sarah E. Rodgers, Jennifer Morgan, Scott Orford, David L. Fone

ABSTRACT

We describe our process of geocoding alcohol outlets to create a national longitudinal exposure dataset for Wales, United Kingdom from 2006 to 2011. We investigated variation in the availability of data items and the quality of alcohol outlet addresses held within unitary authorities. We used a standard geocoding method augmented with a manual matching procedure to achieve a fully spatially referenced dataset. We found higher quality addresses are held for outlets based in urban areas, resulting in the automatic geocoding of 68 % of urban outlets, compared to 48 % in rural areas. Missing postcodes and a lack of address structure contributed to a lower geocoding proportion. An urban rural bias was removed with the development of a manual matching procedure. Only one-half of the unitary authorities provided data on on/off sales and opening times, which are important availability factors. The resulting outlet dataset is suitable for contributing to the evidence-base of alcohol availability and alcohol-related harm. Local government should be encouraged to use standardised data fields, including addresses, to enable accurate geocoding of alcohol outlets and facilitate research that aims to prevent alcohol-related harm. Standardising data collection would enable efficient secondary data reuse using record linkage techniques, allowing the retrospective creation and evaluation of population-based natural experiments to provide evidence for policy and practice. More... »

PAGES

301-315

Identifiers

URI

http://scigraph.springernature.com/pub.10.1007/s12061-016-9184-4

DOI

http://dx.doi.org/10.1007/s12061-016-9184-4

DIMENSIONS

https://app.dimensions.ai/details/publication/pub.1006573689


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": "Farr Institute", 
          "id": "https://www.grid.ac/institutes/grid.488827.9", 
          "name": [
            "Farr Institute, Swansea University Medical School, Singleton Campus, SA2 8PP, Swansea, UK"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Fry", 
        "givenName": "Richard J.", 
        "id": "sg:person.01362151521.84", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01362151521.84"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Farr Institute", 
          "id": "https://www.grid.ac/institutes/grid.488827.9", 
          "name": [
            "Farr Institute, Swansea University Medical School, Singleton Campus, SA2 8PP, Swansea, UK"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Rodgers", 
        "givenName": "Sarah E.", 
        "id": "sg:person.015370236620.81", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.015370236620.81"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Cardiff University", 
          "id": "https://www.grid.ac/institutes/grid.5600.3", 
          "name": [
            "Institute of Primary Care & Public Health, Cardiff University School of Medicine, Neuadd Meirionnydd, Heath Park, CF14 4YS, Cardiff, UK"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Morgan", 
        "givenName": "Jennifer", 
        "id": "sg:person.01314036321.45", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01314036321.45"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Cardiff University", 
          "id": "https://www.grid.ac/institutes/grid.5600.3", 
          "name": [
            "School of Planning and Geography, Cardiff University, Glamorgan Building, King Edward VII Avenue, CF10 3WA, Cardiff, Wales, UK"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Orford", 
        "givenName": "Scott", 
        "id": "sg:person.011774713225.11", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.011774713225.11"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Cardiff University", 
          "id": "https://www.grid.ac/institutes/grid.5600.3", 
          "name": [
            "Institute of Primary Care & Public Health, Cardiff University School of Medicine, Neuadd Meirionnydd, Heath Park, CF14 4YS, Cardiff, UK"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Fone", 
        "givenName": "David L.", 
        "id": "sg:person.01125246437.77", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01125246437.77"
        ], 
        "type": "Person"
      }
    ], 
    "citation": [
      {
        "id": "https://doi.org/10.1016/j.amepre.2010.09.034", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1006531437"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1136/jech.2008.082610", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1008598249"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1093/ije/dys175", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1009838563"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1097/01.ede.0000165364.54925.f3", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1010204486"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1097/01.ede.0000165364.54925.f3", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1010204486"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1097/01.ede.0000165364.54925.f3", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1010204486"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1097/01.ede.0000165364.54925.f3", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1010204486"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1111/j.1360-0443.2012.04053.x", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1011235762"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.jash.2008.03.010", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1014465710"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.sste.2012.04.005", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1015896865"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1046/j.1360-0443.96.1s1.6.x", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1016503877"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1186/1471-2458-7-37", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1018106207", 
          "https://doi.org/10.1186/1471-2458-7-37"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1186/1471-2288-10-41", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1018260583", 
          "https://doi.org/10.1186/1471-2288-10-41"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.puhe.2004.11.008", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1021574868"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.healthplace.2012.06.012", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1021610438"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1093/ije/dys200", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1021771548"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.amepre.2006.03.030", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1021837934"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.healthplace.2012.10.004", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1024882241"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.healthplace.2009.08.007", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1025005085"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1136/bmjopen-2014-006530", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1025376099"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1001/jama.289.5.579", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1027136581"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.4081/gh.2011.179", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1029852752"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1177/1748895809343409", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1030098943"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1177/1748895809343409", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1030098943"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1080/13658810310001596076", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1032200543"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1186/1471-2458-9-415", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1037215613", 
          "https://doi.org/10.1186/1471-2458-9-415"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1093/alcalc/agp054", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1038418233"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1093/alcalc/agp054", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1038418233"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1038/bjc.2011.476", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1038668400", 
          "https://doi.org/10.1038/bjc.2011.476"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1080/02693798708927805", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1039490464"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.compenvurbsys.2007.11.006", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1040806907"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1136/jech-2011-200375", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1040869882"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1186/1476-072x-12-2", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1043016903", 
          "https://doi.org/10.1186/1476-072x-12-2"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/s0140-6736(06)67924-5", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1043152356"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1186/1471-2458-12-428", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1047180082", 
          "https://doi.org/10.1186/1471-2458-12-428"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.healthplace.2013.07.006", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1049280060"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.healthplace.2010.08.007", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1050864402"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1057/rt.2011.2", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1052831321", 
          "https://doi.org/10.1057/rt.2011.2"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1136/bmj.39496.556435.80", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1053168470"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.2105/ajph.91.7.1114", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1068878276"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.2105/ajph.91.8.1209", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1068878306"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://app.dimensions.ai/details/publication/pub.1078517527", 
        "type": "CreativeWork"
      }
    ], 
    "datePublished": "2017-06", 
    "datePublishedReg": "2017-06-01", 
    "description": "We describe our process of geocoding alcohol outlets to create a national longitudinal exposure dataset for Wales, United Kingdom from 2006 to 2011. We investigated variation in the availability of data items and the quality of alcohol outlet addresses held within unitary authorities. We used a standard geocoding method augmented with a manual matching procedure to achieve a fully spatially referenced dataset. We found higher quality addresses are held for outlets based in urban areas, resulting in the automatic geocoding of 68 % of urban outlets, compared to 48 % in rural areas. Missing postcodes and a lack of address structure contributed to a lower geocoding proportion. An urban rural bias was removed with the development of a manual matching procedure. Only one-half of the unitary authorities provided data on on/off sales and opening times, which are important availability factors. The resulting outlet dataset is suitable for contributing to the evidence-base of alcohol availability and alcohol-related harm. Local government should be encouraged to use standardised data fields, including addresses, to enable accurate geocoding of alcohol outlets and facilitate research that aims to prevent alcohol-related harm. Standardising data collection would enable efficient secondary data reuse using record linkage techniques, allowing the retrospective creation and evaluation of population-based natural experiments to provide evidence for policy and practice.", 
    "genre": "research_article", 
    "id": "sg:pub.10.1007/s12061-016-9184-4", 
    "inLanguage": [
      "en"
    ], 
    "isAccessibleForFree": true, 
    "isFundedItemOf": [
      {
        "id": "sg:grant.5146914", 
        "type": "MonetaryGrant"
      }, 
      {
        "id": "sg:grant.2757699", 
        "type": "MonetaryGrant"
      }, 
      {
        "id": "sg:grant.3559945", 
        "type": "MonetaryGrant"
      }
    ], 
    "isPartOf": [
      {
        "id": "sg:journal.1050061", 
        "issn": [
          "1874-463X", 
          "1874-4621"
        ], 
        "name": "Applied Spatial Analysis and Policy", 
        "type": "Periodical"
      }, 
      {
        "issueNumber": "2", 
        "type": "PublicationIssue"
      }, 
      {
        "type": "PublicationVolume", 
        "volumeNumber": "10"
      }
    ], 
    "name": "Using Routinely Collected Administrative Data in Public Health Research: Geocoding Alcohol Outlet Data", 
    "pagination": "301-315", 
    "productId": [
      {
        "name": "readcube_id", 
        "type": "PropertyValue", 
        "value": [
          "1f4faf496e19d3b50211515feb60181112dbb6220008b1432750dd721e2f8660"
        ]
      }, 
      {
        "name": "doi", 
        "type": "PropertyValue", 
        "value": [
          "10.1007/s12061-016-9184-4"
        ]
      }, 
      {
        "name": "dimensions_id", 
        "type": "PropertyValue", 
        "value": [
          "pub.1006573689"
        ]
      }
    ], 
    "sameAs": [
      "https://doi.org/10.1007/s12061-016-9184-4", 
      "https://app.dimensions.ai/details/publication/pub.1006573689"
    ], 
    "sdDataset": "articles", 
    "sdDatePublished": "2019-04-11T13:11", 
    "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/v90/0000000367_0000000367/records_88255_00000000.jsonl", 
    "type": "ScholarlyArticle", 
    "url": "http://link.springer.com/10.1007%2Fs12061-016-9184-4"
  }
]
 

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/s12061-016-9184-4'

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/s12061-016-9184-4'

Turtle is a human-readable linked data format.

curl -H 'Accept: text/turtle' 'https://scigraph.springernature.com/pub.10.1007/s12061-016-9184-4'

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

curl -H 'Accept: application/rdf+xml' 'https://scigraph.springernature.com/pub.10.1007/s12061-016-9184-4'


 

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

216 TRIPLES      21 PREDICATES      64 URIs      19 LITERALS      7 BLANK NODES

Subject Predicate Object
1 sg:pub.10.1007/s12061-016-9184-4 schema:about anzsrc-for:11
2 anzsrc-for:1117
3 schema:author Nde9a8b50fc854354b7db311130731739
4 schema:citation sg:pub.10.1038/bjc.2011.476
5 sg:pub.10.1057/rt.2011.2
6 sg:pub.10.1186/1471-2288-10-41
7 sg:pub.10.1186/1471-2458-12-428
8 sg:pub.10.1186/1471-2458-7-37
9 sg:pub.10.1186/1471-2458-9-415
10 sg:pub.10.1186/1476-072x-12-2
11 https://app.dimensions.ai/details/publication/pub.1078517527
12 https://doi.org/10.1001/jama.289.5.579
13 https://doi.org/10.1016/j.amepre.2006.03.030
14 https://doi.org/10.1016/j.amepre.2010.09.034
15 https://doi.org/10.1016/j.compenvurbsys.2007.11.006
16 https://doi.org/10.1016/j.healthplace.2009.08.007
17 https://doi.org/10.1016/j.healthplace.2010.08.007
18 https://doi.org/10.1016/j.healthplace.2012.06.012
19 https://doi.org/10.1016/j.healthplace.2012.10.004
20 https://doi.org/10.1016/j.healthplace.2013.07.006
21 https://doi.org/10.1016/j.jash.2008.03.010
22 https://doi.org/10.1016/j.puhe.2004.11.008
23 https://doi.org/10.1016/j.sste.2012.04.005
24 https://doi.org/10.1016/s0140-6736(06)67924-5
25 https://doi.org/10.1046/j.1360-0443.96.1s1.6.x
26 https://doi.org/10.1080/02693798708927805
27 https://doi.org/10.1080/13658810310001596076
28 https://doi.org/10.1093/alcalc/agp054
29 https://doi.org/10.1093/ije/dys175
30 https://doi.org/10.1093/ije/dys200
31 https://doi.org/10.1097/01.ede.0000165364.54925.f3
32 https://doi.org/10.1111/j.1360-0443.2012.04053.x
33 https://doi.org/10.1136/bmj.39496.556435.80
34 https://doi.org/10.1136/bmjopen-2014-006530
35 https://doi.org/10.1136/jech-2011-200375
36 https://doi.org/10.1136/jech.2008.082610
37 https://doi.org/10.1177/1748895809343409
38 https://doi.org/10.2105/ajph.91.7.1114
39 https://doi.org/10.2105/ajph.91.8.1209
40 https://doi.org/10.4081/gh.2011.179
41 schema:datePublished 2017-06
42 schema:datePublishedReg 2017-06-01
43 schema:description We describe our process of geocoding alcohol outlets to create a national longitudinal exposure dataset for Wales, United Kingdom from 2006 to 2011. We investigated variation in the availability of data items and the quality of alcohol outlet addresses held within unitary authorities. We used a standard geocoding method augmented with a manual matching procedure to achieve a fully spatially referenced dataset. We found higher quality addresses are held for outlets based in urban areas, resulting in the automatic geocoding of 68 % of urban outlets, compared to 48 % in rural areas. Missing postcodes and a lack of address structure contributed to a lower geocoding proportion. An urban rural bias was removed with the development of a manual matching procedure. Only one-half of the unitary authorities provided data on on/off sales and opening times, which are important availability factors. The resulting outlet dataset is suitable for contributing to the evidence-base of alcohol availability and alcohol-related harm. Local government should be encouraged to use standardised data fields, including addresses, to enable accurate geocoding of alcohol outlets and facilitate research that aims to prevent alcohol-related harm. Standardising data collection would enable efficient secondary data reuse using record linkage techniques, allowing the retrospective creation and evaluation of population-based natural experiments to provide evidence for policy and practice.
44 schema:genre research_article
45 schema:inLanguage en
46 schema:isAccessibleForFree true
47 schema:isPartOf N75010176d6434ed184a99e5d306abcab
48 Nb11da6770dc241e49ac823b2890d0d63
49 sg:journal.1050061
50 schema:name Using Routinely Collected Administrative Data in Public Health Research: Geocoding Alcohol Outlet Data
51 schema:pagination 301-315
52 schema:productId N6daf4334b8824dc38e4e5334d1fb95bf
53 Nbdb86ccc87d34db8b503b7b4e495c45a
54 Nf09cb24d9d914d47adf179e99b97a568
55 schema:sameAs https://app.dimensions.ai/details/publication/pub.1006573689
56 https://doi.org/10.1007/s12061-016-9184-4
57 schema:sdDatePublished 2019-04-11T13:11
58 schema:sdLicense https://scigraph.springernature.com/explorer/license/
59 schema:sdPublisher N9431b2396ed640f2b499ffd1d92069da
60 schema:url http://link.springer.com/10.1007%2Fs12061-016-9184-4
61 sgo:license sg:explorer/license/
62 sgo:sdDataset articles
63 rdf:type schema:ScholarlyArticle
64 N24b0f8528f7a4c908e3bd581711db035 rdf:first sg:person.015370236620.81
65 rdf:rest N94a4f0ad1b1d4dd8a872c53c44b6f86c
66 N354ee5b3a04c49ab8efa0d690289ece0 rdf:first sg:person.01125246437.77
67 rdf:rest rdf:nil
68 N52ca8170bd314c36ae27d8fe4737ae53 rdf:first sg:person.011774713225.11
69 rdf:rest N354ee5b3a04c49ab8efa0d690289ece0
70 N6daf4334b8824dc38e4e5334d1fb95bf schema:name dimensions_id
71 schema:value pub.1006573689
72 rdf:type schema:PropertyValue
73 N75010176d6434ed184a99e5d306abcab schema:volumeNumber 10
74 rdf:type schema:PublicationVolume
75 N9431b2396ed640f2b499ffd1d92069da schema:name Springer Nature - SN SciGraph project
76 rdf:type schema:Organization
77 N94a4f0ad1b1d4dd8a872c53c44b6f86c rdf:first sg:person.01314036321.45
78 rdf:rest N52ca8170bd314c36ae27d8fe4737ae53
79 Nb11da6770dc241e49ac823b2890d0d63 schema:issueNumber 2
80 rdf:type schema:PublicationIssue
81 Nbdb86ccc87d34db8b503b7b4e495c45a schema:name readcube_id
82 schema:value 1f4faf496e19d3b50211515feb60181112dbb6220008b1432750dd721e2f8660
83 rdf:type schema:PropertyValue
84 Nde9a8b50fc854354b7db311130731739 rdf:first sg:person.01362151521.84
85 rdf:rest N24b0f8528f7a4c908e3bd581711db035
86 Nf09cb24d9d914d47adf179e99b97a568 schema:name doi
87 schema:value 10.1007/s12061-016-9184-4
88 rdf:type schema:PropertyValue
89 anzsrc-for:11 schema:inDefinedTermSet anzsrc-for:
90 schema:name Medical and Health Sciences
91 rdf:type schema:DefinedTerm
92 anzsrc-for:1117 schema:inDefinedTermSet anzsrc-for:
93 schema:name Public Health and Health Services
94 rdf:type schema:DefinedTerm
95 sg:grant.2757699 http://pending.schema.org/fundedItem sg:pub.10.1007/s12061-016-9184-4
96 rdf:type schema:MonetaryGrant
97 sg:grant.3559945 http://pending.schema.org/fundedItem sg:pub.10.1007/s12061-016-9184-4
98 rdf:type schema:MonetaryGrant
99 sg:grant.5146914 http://pending.schema.org/fundedItem sg:pub.10.1007/s12061-016-9184-4
100 rdf:type schema:MonetaryGrant
101 sg:journal.1050061 schema:issn 1874-4621
102 1874-463X
103 schema:name Applied Spatial Analysis and Policy
104 rdf:type schema:Periodical
105 sg:person.01125246437.77 schema:affiliation https://www.grid.ac/institutes/grid.5600.3
106 schema:familyName Fone
107 schema:givenName David L.
108 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01125246437.77
109 rdf:type schema:Person
110 sg:person.011774713225.11 schema:affiliation https://www.grid.ac/institutes/grid.5600.3
111 schema:familyName Orford
112 schema:givenName Scott
113 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.011774713225.11
114 rdf:type schema:Person
115 sg:person.01314036321.45 schema:affiliation https://www.grid.ac/institutes/grid.5600.3
116 schema:familyName Morgan
117 schema:givenName Jennifer
118 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01314036321.45
119 rdf:type schema:Person
120 sg:person.01362151521.84 schema:affiliation https://www.grid.ac/institutes/grid.488827.9
121 schema:familyName Fry
122 schema:givenName Richard J.
123 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01362151521.84
124 rdf:type schema:Person
125 sg:person.015370236620.81 schema:affiliation https://www.grid.ac/institutes/grid.488827.9
126 schema:familyName Rodgers
127 schema:givenName Sarah E.
128 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.015370236620.81
129 rdf:type schema:Person
130 sg:pub.10.1038/bjc.2011.476 schema:sameAs https://app.dimensions.ai/details/publication/pub.1038668400
131 https://doi.org/10.1038/bjc.2011.476
132 rdf:type schema:CreativeWork
133 sg:pub.10.1057/rt.2011.2 schema:sameAs https://app.dimensions.ai/details/publication/pub.1052831321
134 https://doi.org/10.1057/rt.2011.2
135 rdf:type schema:CreativeWork
136 sg:pub.10.1186/1471-2288-10-41 schema:sameAs https://app.dimensions.ai/details/publication/pub.1018260583
137 https://doi.org/10.1186/1471-2288-10-41
138 rdf:type schema:CreativeWork
139 sg:pub.10.1186/1471-2458-12-428 schema:sameAs https://app.dimensions.ai/details/publication/pub.1047180082
140 https://doi.org/10.1186/1471-2458-12-428
141 rdf:type schema:CreativeWork
142 sg:pub.10.1186/1471-2458-7-37 schema:sameAs https://app.dimensions.ai/details/publication/pub.1018106207
143 https://doi.org/10.1186/1471-2458-7-37
144 rdf:type schema:CreativeWork
145 sg:pub.10.1186/1471-2458-9-415 schema:sameAs https://app.dimensions.ai/details/publication/pub.1037215613
146 https://doi.org/10.1186/1471-2458-9-415
147 rdf:type schema:CreativeWork
148 sg:pub.10.1186/1476-072x-12-2 schema:sameAs https://app.dimensions.ai/details/publication/pub.1043016903
149 https://doi.org/10.1186/1476-072x-12-2
150 rdf:type schema:CreativeWork
151 https://app.dimensions.ai/details/publication/pub.1078517527 schema:CreativeWork
152 https://doi.org/10.1001/jama.289.5.579 schema:sameAs https://app.dimensions.ai/details/publication/pub.1027136581
153 rdf:type schema:CreativeWork
154 https://doi.org/10.1016/j.amepre.2006.03.030 schema:sameAs https://app.dimensions.ai/details/publication/pub.1021837934
155 rdf:type schema:CreativeWork
156 https://doi.org/10.1016/j.amepre.2010.09.034 schema:sameAs https://app.dimensions.ai/details/publication/pub.1006531437
157 rdf:type schema:CreativeWork
158 https://doi.org/10.1016/j.compenvurbsys.2007.11.006 schema:sameAs https://app.dimensions.ai/details/publication/pub.1040806907
159 rdf:type schema:CreativeWork
160 https://doi.org/10.1016/j.healthplace.2009.08.007 schema:sameAs https://app.dimensions.ai/details/publication/pub.1025005085
161 rdf:type schema:CreativeWork
162 https://doi.org/10.1016/j.healthplace.2010.08.007 schema:sameAs https://app.dimensions.ai/details/publication/pub.1050864402
163 rdf:type schema:CreativeWork
164 https://doi.org/10.1016/j.healthplace.2012.06.012 schema:sameAs https://app.dimensions.ai/details/publication/pub.1021610438
165 rdf:type schema:CreativeWork
166 https://doi.org/10.1016/j.healthplace.2012.10.004 schema:sameAs https://app.dimensions.ai/details/publication/pub.1024882241
167 rdf:type schema:CreativeWork
168 https://doi.org/10.1016/j.healthplace.2013.07.006 schema:sameAs https://app.dimensions.ai/details/publication/pub.1049280060
169 rdf:type schema:CreativeWork
170 https://doi.org/10.1016/j.jash.2008.03.010 schema:sameAs https://app.dimensions.ai/details/publication/pub.1014465710
171 rdf:type schema:CreativeWork
172 https://doi.org/10.1016/j.puhe.2004.11.008 schema:sameAs https://app.dimensions.ai/details/publication/pub.1021574868
173 rdf:type schema:CreativeWork
174 https://doi.org/10.1016/j.sste.2012.04.005 schema:sameAs https://app.dimensions.ai/details/publication/pub.1015896865
175 rdf:type schema:CreativeWork
176 https://doi.org/10.1016/s0140-6736(06)67924-5 schema:sameAs https://app.dimensions.ai/details/publication/pub.1043152356
177 rdf:type schema:CreativeWork
178 https://doi.org/10.1046/j.1360-0443.96.1s1.6.x schema:sameAs https://app.dimensions.ai/details/publication/pub.1016503877
179 rdf:type schema:CreativeWork
180 https://doi.org/10.1080/02693798708927805 schema:sameAs https://app.dimensions.ai/details/publication/pub.1039490464
181 rdf:type schema:CreativeWork
182 https://doi.org/10.1080/13658810310001596076 schema:sameAs https://app.dimensions.ai/details/publication/pub.1032200543
183 rdf:type schema:CreativeWork
184 https://doi.org/10.1093/alcalc/agp054 schema:sameAs https://app.dimensions.ai/details/publication/pub.1038418233
185 rdf:type schema:CreativeWork
186 https://doi.org/10.1093/ije/dys175 schema:sameAs https://app.dimensions.ai/details/publication/pub.1009838563
187 rdf:type schema:CreativeWork
188 https://doi.org/10.1093/ije/dys200 schema:sameAs https://app.dimensions.ai/details/publication/pub.1021771548
189 rdf:type schema:CreativeWork
190 https://doi.org/10.1097/01.ede.0000165364.54925.f3 schema:sameAs https://app.dimensions.ai/details/publication/pub.1010204486
191 rdf:type schema:CreativeWork
192 https://doi.org/10.1111/j.1360-0443.2012.04053.x schema:sameAs https://app.dimensions.ai/details/publication/pub.1011235762
193 rdf:type schema:CreativeWork
194 https://doi.org/10.1136/bmj.39496.556435.80 schema:sameAs https://app.dimensions.ai/details/publication/pub.1053168470
195 rdf:type schema:CreativeWork
196 https://doi.org/10.1136/bmjopen-2014-006530 schema:sameAs https://app.dimensions.ai/details/publication/pub.1025376099
197 rdf:type schema:CreativeWork
198 https://doi.org/10.1136/jech-2011-200375 schema:sameAs https://app.dimensions.ai/details/publication/pub.1040869882
199 rdf:type schema:CreativeWork
200 https://doi.org/10.1136/jech.2008.082610 schema:sameAs https://app.dimensions.ai/details/publication/pub.1008598249
201 rdf:type schema:CreativeWork
202 https://doi.org/10.1177/1748895809343409 schema:sameAs https://app.dimensions.ai/details/publication/pub.1030098943
203 rdf:type schema:CreativeWork
204 https://doi.org/10.2105/ajph.91.7.1114 schema:sameAs https://app.dimensions.ai/details/publication/pub.1068878276
205 rdf:type schema:CreativeWork
206 https://doi.org/10.2105/ajph.91.8.1209 schema:sameAs https://app.dimensions.ai/details/publication/pub.1068878306
207 rdf:type schema:CreativeWork
208 https://doi.org/10.4081/gh.2011.179 schema:sameAs https://app.dimensions.ai/details/publication/pub.1029852752
209 rdf:type schema:CreativeWork
210 https://www.grid.ac/institutes/grid.488827.9 schema:alternateName Farr Institute
211 schema:name Farr Institute, Swansea University Medical School, Singleton Campus, SA2 8PP, Swansea, UK
212 rdf:type schema:Organization
213 https://www.grid.ac/institutes/grid.5600.3 schema:alternateName Cardiff University
214 schema:name Institute of Primary Care & Public Health, Cardiff University School of Medicine, Neuadd Meirionnydd, Heath Park, CF14 4YS, Cardiff, UK
215 School of Planning and Geography, Cardiff University, Glamorgan Building, King Edward VII Avenue, CF10 3WA, Cardiff, Wales, UK
216 rdf:type schema:Organization
 




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


...