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A Review and Framework for Categorizing Current Research and Development in Health Related Geographical Information Systems (GIS) Studies

Identifieur interne : 000695 ( Pmc/Corpus ); précédent : 000694; suivant : 000696

A Review and Framework for Categorizing Current Research and Development in Health Related Geographical Information Systems (GIS) Studies

Auteurs : A. K. Lyseen ; C. N Hr ; E. M. S Rensen ; O. Gudes ; E. M. Geraghty ; N. T. Shaw ; C. Bivona-Tellez

Source :

RBID : PMC:4287070

Abstract

SummaryObjectives

The application of GIS in health science has increased over the last decade and new innovative application areas have emerged. This study reviews the literature and builds a framework to provide a conceptual overview of the domain, and to promote strategic planning for further research of GIS in health.

Method

The framework is based on literature from the library databases Scopus and Web of Science. The articles were identified based on keywords and initially selected for further study based on titles and abstracts. A grounded theory-inspired method was applied to categorize the selected articles in main focus areas. Subsequent frequency analysis was performed on the identified articles in areas of infectious and non-infectious diseases and continent of origin.

Results

A total of 865 articles were included. Four conceptual domains within GIS in health sciences comprise the framework: spatial analysis of disease, spatial analysis of health service planning, public health, health technologies and tools. Frequency analysis by disease status and location show that malaria and schistosomiasis are the most commonly analyzed infectious diseases where cancer and asthma are the most frequently analyzed non-infectious diseases. Across categories, articles from North America predominate, and in the category of spatial analysis of diseases an equal number of studies concern Asia.

Conclusion

Spatial analysis of diseases and health service planning are well-established research areas. The development of future technologies and new application areas for GIS and data-gathering technologies such as GPS, smartphones, remote sensing etc. will be nudging the research in GIS and health.


Url:
DOI: 10.15265/IY-2014-0008
PubMed: 25123730
PubMed Central: 4287070

Links to Exploration step

PMC:4287070

Le document en format XML

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<title>Objectives</title>
<p>The application of GIS in health science has increased over the last decade and new innovative application areas have emerged. This study reviews the literature and builds a framework to provide a conceptual overview of the domain, and to promote strategic planning for further research of GIS in health.</p>
</sec>
<sec>
<title>Method</title>
<p>The framework is based on literature from the library databases Scopus and Web of Science. The articles were identified based on keywords and initially selected for further study based on titles and abstracts. A grounded theory-inspired method was applied to categorize the selected articles in main focus areas. Subsequent frequency analysis was performed on the identified articles in areas of infectious and non-infectious diseases and continent of origin.</p>
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<sec>
<title>Results</title>
<p>A total of 865 articles were included. Four conceptual domains within GIS in health sciences comprise the framework: spatial analysis of disease, spatial analysis of health service planning, public health, health technologies and tools. Frequency analysis by disease status and location show that malaria and schistosomiasis are the most commonly analyzed infectious diseases where cancer and asthma are the most frequently analyzed non-infectious diseases. Across categories, articles from North America predominate, and in the category of spatial analysis of diseases an equal number of studies concern Asia.</p>
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<sec>
<title>Conclusion</title>
<p>Spatial analysis of diseases and health service planning are well-established research areas. The development of future technologies and new application areas for GIS and data-gathering technologies such as GPS, smartphones, remote sensing etc. will be nudging the research in GIS and health.</p>
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<article-title>A Review and Framework for Categorizing Current Research and Development in Health Related Geographical Information Systems (GIS) Studies</article-title>
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<name>
<surname>Lyseen</surname>
<given-names>A. K.</given-names>
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<name>
<surname>Nøhr</surname>
<given-names>C.</given-names>
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<sup>1</sup>
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<name>
<surname>Sørensen</surname>
<given-names>E. M.</given-names>
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<sup>1</sup>
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<name>
<surname>Gudes</surname>
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<sup>2</sup>
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<name>
<surname>Geraghty</surname>
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<sup>3</sup>
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<name>
<surname>Shaw</surname>
<given-names>N. T.</given-names>
</name>
<xref ref-type="aff" rid="aff004">
<sup>4</sup>
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<contrib contrib-type="author">
<name>
<surname>Bivona-Tellez</surname>
<given-names>C.</given-names>
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<on-behalf-of>on behalf of the IMIA Health GIS Working Group</on-behalf-of>
<xref ref-type="aff" rid="aff005">
<sup>5</sup>
</xref>
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Department of Development and Planning,
<institution>Aalborg University</institution>
,
<addr-line>Aalborg, Denmark</addr-line>
</aff>
<aff id="aff002">
<label>2</label>
Department of Spatial Sciences,
<institution>Curtin University</institution>
,
<addr-line>Australia</addr-line>
</aff>
<aff id="aff003">
<label>3</label>
<institution>University of California Davis, Division of General Medicine</institution>
,
<addr-line>California, USA</addr-line>
</aff>
<aff id="aff004">
<label>4</label>
<institution>Algoma University, Sault Ste. Marie</institution>
,
<addr-line>Ontario, Canada</addr-line>
</aff>
<aff id="aff005">
<label>5</label>
<institution>Azusa Pacific University</institution>
,
<addr-line>California, USA</addr-line>
</aff>
<author-notes>
<corresp>Correspondence to:</corresp>
<corresp id="cor1">Anders Knørr Lyseen, Department of Development and Planning, Aalborg University, Aalborg, Denmark,
<email>alyseen@plan.aau.dk</email>
</corresp>
</author-notes>
<pub-date pub-type="epub">
<day>15</day>
<month>8</month>
<year>2014</year>
</pub-date>
<pub-date pub-type="collection">
<year>2014</year>
</pub-date>
<volume>9</volume>
<issue>1</issue>
<fpage>110</fpage>
<lpage>124</lpage>
<permissions>
<copyright-statement>© IMIA and Schattauer GmbH 2014</copyright-statement>
<copyright-year>2014</copyright-year>
</permissions>
<abstract>
<title>Summary</title>
<sec>
<title>Objectives</title>
<p>The application of GIS in health science has increased over the last decade and new innovative application areas have emerged. This study reviews the literature and builds a framework to provide a conceptual overview of the domain, and to promote strategic planning for further research of GIS in health.</p>
</sec>
<sec>
<title>Method</title>
<p>The framework is based on literature from the library databases Scopus and Web of Science. The articles were identified based on keywords and initially selected for further study based on titles and abstracts. A grounded theory-inspired method was applied to categorize the selected articles in main focus areas. Subsequent frequency analysis was performed on the identified articles in areas of infectious and non-infectious diseases and continent of origin.</p>
</sec>
<sec>
<title>Results</title>
<p>A total of 865 articles were included. Four conceptual domains within GIS in health sciences comprise the framework: spatial analysis of disease, spatial analysis of health service planning, public health, health technologies and tools. Frequency analysis by disease status and location show that malaria and schistosomiasis are the most commonly analyzed infectious diseases where cancer and asthma are the most frequently analyzed non-infectious diseases. Across categories, articles from North America predominate, and in the category of spatial analysis of diseases an equal number of studies concern Asia.</p>
</sec>
<sec>
<title>Conclusion</title>
<p>Spatial analysis of diseases and health service planning are well-established research areas. The development of future technologies and new application areas for GIS and data-gathering technologies such as GPS, smartphones, remote sensing etc. will be nudging the research in GIS and health.</p>
</sec>
</abstract>
<kwd-group>
<title>Keywords</title>
<kwd>Epidemiology</kwd>
<kwd>geographic information system</kwd>
<kwd>public health</kwd>
<kwd>cluster analysis</kwd>
<kwd>spatial analysis</kwd>
</kwd-group>
<counts>
<fig-count count="3"></fig-count>
<table-count count="6"></table-count>
<equation-count count="0"></equation-count>
<ref-count count="194"></ref-count>
<page-count count="15"></page-count>
</counts>
</article-meta>
</front>
</pmc>
</record>

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