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Quantifying the Error Associated with Alternative GIS-based Techniques to Measure Access to Health Care Services

Fry Richard, The 1, of College, University Swansea, , SA2 UK, Mizen Amy, Grinnell Daniel, E. Sarah, Rich Fry Orcid Logo

AIMS Public Health, Volume: 2, Issue: 4, Pages: 746 - 761

Swansea University Author: Rich Fry Orcid Logo

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Published in: AIMS Public Health
ISSN: 2327-8994
Published: American Institute of Mathematical Sciences (AIMS) 2015
Online Access: Check full text

URI: https://cronfa.swan.ac.uk/Record/cronfa28406
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first_indexed 2016-06-01T03:17:41Z
last_indexed 2018-02-09T05:12:29Z
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spelling 2016-06-01T00:19:08.4933944 v2 28406 2016-06-01 Quantifying the Error Associated with Alternative GIS-based Techniques to Measure Access to Health Care Services d499b898d447b62c81b2c122598870e0 0000-0002-7968-6679 Rich Fry Rich Fry true false 2016-06-01 HDAT Journal Article AIMS Public Health 2 4 746 761 American Institute of Mathematical Sciences (AIMS) 2327-8994 31 12 2015 2015-12-31 10.3934/publichealth.2015.4.746 COLLEGE NANME Health Data Science COLLEGE CODE HDAT Swansea University 2016-06-01T00:19:08.4933944 2016-06-01T00:19:08.2905931 Faculty of Medicine, Health and Life Sciences Swansea University Medical School - Medicine Fry Richard 1 The 1 2 of College 3 University Swansea 4 5 SA2 UK 6 Mizen Amy 7 Grinnell Daniel 8 E. Sarah 9 Rich Fry 0000-0002-7968-6679 10
title Quantifying the Error Associated with Alternative GIS-based Techniques to Measure Access to Health Care Services
spellingShingle Quantifying the Error Associated with Alternative GIS-based Techniques to Measure Access to Health Care Services
Rich Fry
title_short Quantifying the Error Associated with Alternative GIS-based Techniques to Measure Access to Health Care Services
title_full Quantifying the Error Associated with Alternative GIS-based Techniques to Measure Access to Health Care Services
title_fullStr Quantifying the Error Associated with Alternative GIS-based Techniques to Measure Access to Health Care Services
title_full_unstemmed Quantifying the Error Associated with Alternative GIS-based Techniques to Measure Access to Health Care Services
title_sort Quantifying the Error Associated with Alternative GIS-based Techniques to Measure Access to Health Care Services
author_id_str_mv d499b898d447b62c81b2c122598870e0
author_id_fullname_str_mv d499b898d447b62c81b2c122598870e0_***_Rich Fry
author Rich Fry
author2 Fry Richard
The 1
of College
University Swansea

SA2 UK
Mizen Amy
Grinnell Daniel
E. Sarah
Rich Fry
format Journal article
container_title AIMS Public Health
container_volume 2
container_issue 4
container_start_page 746
publishDate 2015
institution Swansea University
issn 2327-8994
doi_str_mv 10.3934/publichealth.2015.4.746
publisher American Institute of Mathematical Sciences (AIMS)
college_str Faculty of Medicine, Health and Life Sciences
hierarchytype
hierarchy_top_id facultyofmedicinehealthandlifesciences
hierarchy_top_title Faculty of Medicine, Health and Life Sciences
hierarchy_parent_id facultyofmedicinehealthandlifesciences
hierarchy_parent_title Faculty of Medicine, Health and Life Sciences
department_str Swansea University Medical School - Medicine{{{_:::_}}}Faculty of Medicine, Health and Life Sciences{{{_:::_}}}Swansea University Medical School - Medicine
document_store_str 0
active_str 0
published_date 2015-12-31T03:34:32Z
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score 10.993443