Geographic Information Systems, spatial analysis, and HIV in Africa: A scoping review
Geographic Information Systems (GIS) and spatial analysis are emerging tools for global health, but it is unclear to what extent they have been applied to HIV research in Africa. To help inform researchers and program implementers, this scoping review documents the range and depth of published HIV-r...
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description | Geographic Information Systems (GIS) and spatial analysis are emerging tools for global health, but it is unclear to what extent they have been applied to HIV research in Africa. To help inform researchers and program implementers, this scoping review documents the range and depth of published HIV-related GIS and spatial analysis research studies conducted in Africa.
A systematic literature search for articles related to GIS and spatial analysis was conducted through PubMed, EMBASE, and Web of Science databases. Using pre-specified inclusion criteria, articles were screened and key data were abstracted. Grounded, inductive analysis was conducted to organize studies into meaningful thematic areas.
The search returned 773 unique articles, of which 65 were included in the final review. 15 different countries were represented. Over half of the included studies were published after 2014. Articles were categorized into the following non-mutually exclusive themes: (a) HIV geography, (b) HIV risk factors, and (c) HIV service implementation. Studies demonstrated a broad range of GIS and spatial analysis applications including characterizing geographic distribution of HIV, evaluating risk factors for HIV, and assessing and improving access to HIV care services.
GIS and spatial analysis have been widely applied to HIV-related research in Africa. The current literature reveals a diversity of themes and methodologies and a relatively young, but rapidly growing, evidence base. |
doi_str_mv | 10.1371/journal.pone.0216388 |
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A systematic literature search for articles related to GIS and spatial analysis was conducted through PubMed, EMBASE, and Web of Science databases. Using pre-specified inclusion criteria, articles were screened and key data were abstracted. Grounded, inductive analysis was conducted to organize studies into meaningful thematic areas.
The search returned 773 unique articles, of which 65 were included in the final review. 15 different countries were represented. Over half of the included studies were published after 2014. Articles were categorized into the following non-mutually exclusive themes: (a) HIV geography, (b) HIV risk factors, and (c) HIV service implementation. Studies demonstrated a broad range of GIS and spatial analysis applications including characterizing geographic distribution of HIV, evaluating risk factors for HIV, and assessing and improving access to HIV care services.
GIS and spatial analysis have been widely applied to HIV-related research in Africa. The current literature reveals a diversity of themes and methodologies and a relatively young, but rapidly growing, evidence base.</description><identifier>ISSN: 1932-6203</identifier><identifier>EISSN: 1932-6203</identifier><identifier>DOI: 10.1371/journal.pone.0216388</identifier><identifier>PMID: 31050678</identifier><language>eng</language><publisher>United States: Public Library of Science</publisher><subject>Acquired immune deficiency syndrome ; Africa - epidemiology ; AIDS ; Biology and Life Sciences ; Computer and Information Sciences ; Disease prevention ; Distribution ; Earth Sciences ; Geographic Information Systems ; Geographic Information Systems (GIS) ; Geographical distribution ; Geography ; Geospatial data ; Global Health ; Health ; Health risks ; HIV ; HIV infections ; HIV Infections - epidemiology ; HIV-1 ; Human immunodeficiency virus ; Humans ; Medical research ; Medicine and Health Sciences ; Online databases ; People and places ; Public health ; Remote sensing ; Reviews ; Risk analysis ; Risk Factors ; Satellite navigation systems ; Spatial analysis ; Studies ; Systems analysis</subject><ispartof>PloS one, 2019-05, Vol.14 (5), p.e0216388</ispartof><rights>COPYRIGHT 2019 Public Library of Science</rights><rights>2019 Boyda et al. This is an open access article distributed under the terms of the Creative Commons Attribution License: http://creativecommons.org/licenses/by/4.0/ (the “License”), which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.</rights><rights>2019 Boyda et al 2019 Boyda et al</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c692t-e2d4ed2e8e207d094a549948533e5bf0374a02c1471ad02500396b15bf46f17c3</citedby><cites>FETCH-LOGICAL-c692t-e2d4ed2e8e207d094a549948533e5bf0374a02c1471ad02500396b15bf46f17c3</cites><orcidid>0000-0001-7985-4567</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC6499437/pdf/$$EPDF$$P50$$Gpubmedcentral$$Hfree_for_read</linktopdf><linktohtml>$$Uhttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC6499437/$$EHTML$$P50$$Gpubmedcentral$$Hfree_for_read</linktohtml><link.rule.ids>230,314,723,776,780,860,881,2096,2915,23845,27901,27902,53766,53768,79343,79344</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/31050678$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Boyda, Danielle C</creatorcontrib><creatorcontrib>Holzman, Samuel B</creatorcontrib><creatorcontrib>Berman, Amanda</creatorcontrib><creatorcontrib>Grabowski, M Kathyrn</creatorcontrib><creatorcontrib>Chang, Larry W</creatorcontrib><title>Geographic Information Systems, spatial analysis, and HIV in Africa: A scoping review</title><title>PloS one</title><addtitle>PLoS One</addtitle><description>Geographic Information Systems (GIS) and spatial analysis are emerging tools for global health, but it is unclear to what extent they have been applied to HIV research in Africa. To help inform researchers and program implementers, this scoping review documents the range and depth of published HIV-related GIS and spatial analysis research studies conducted in Africa.
A systematic literature search for articles related to GIS and spatial analysis was conducted through PubMed, EMBASE, and Web of Science databases. Using pre-specified inclusion criteria, articles were screened and key data were abstracted. Grounded, inductive analysis was conducted to organize studies into meaningful thematic areas.
The search returned 773 unique articles, of which 65 were included in the final review. 15 different countries were represented. Over half of the included studies were published after 2014. Articles were categorized into the following non-mutually exclusive themes: (a) HIV geography, (b) HIV risk factors, and (c) HIV service implementation. Studies demonstrated a broad range of GIS and spatial analysis applications including characterizing geographic distribution of HIV, evaluating risk factors for HIV, and assessing and improving access to HIV care services.
GIS and spatial analysis have been widely applied to HIV-related research in Africa. 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Academic</collection><collection>PubMed Central (Full Participant titles)</collection><collection>DOAJ Directory of Open Access Journals</collection><jtitle>PloS one</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Boyda, Danielle C</au><au>Holzman, Samuel B</au><au>Berman, Amanda</au><au>Grabowski, M Kathyrn</au><au>Chang, Larry W</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Geographic Information Systems, spatial analysis, and HIV in Africa: A scoping review</atitle><jtitle>PloS one</jtitle><addtitle>PLoS One</addtitle><date>2019-05-03</date><risdate>2019</risdate><volume>14</volume><issue>5</issue><spage>e0216388</spage><pages>e0216388-</pages><issn>1932-6203</issn><eissn>1932-6203</eissn><abstract>Geographic Information Systems (GIS) and spatial analysis are emerging tools for global health, but it is unclear to what extent they have been applied to HIV research in Africa. To help inform researchers and program implementers, this scoping review documents the range and depth of published HIV-related GIS and spatial analysis research studies conducted in Africa.
A systematic literature search for articles related to GIS and spatial analysis was conducted through PubMed, EMBASE, and Web of Science databases. Using pre-specified inclusion criteria, articles were screened and key data were abstracted. Grounded, inductive analysis was conducted to organize studies into meaningful thematic areas.
The search returned 773 unique articles, of which 65 were included in the final review. 15 different countries were represented. Over half of the included studies were published after 2014. Articles were categorized into the following non-mutually exclusive themes: (a) HIV geography, (b) HIV risk factors, and (c) HIV service implementation. Studies demonstrated a broad range of GIS and spatial analysis applications including characterizing geographic distribution of HIV, evaluating risk factors for HIV, and assessing and improving access to HIV care services.
GIS and spatial analysis have been widely applied to HIV-related research in Africa. The current literature reveals a diversity of themes and methodologies and a relatively young, but rapidly growing, evidence base.</abstract><cop>United States</cop><pub>Public Library of Science</pub><pmid>31050678</pmid><doi>10.1371/journal.pone.0216388</doi><tpages>e0216388</tpages><orcidid>https://orcid.org/0000-0001-7985-4567</orcidid><oa>free_for_read</oa></addata></record> |
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subjects | Acquired immune deficiency syndrome Africa - epidemiology AIDS Biology and Life Sciences Computer and Information Sciences Disease prevention Distribution Earth Sciences Geographic Information Systems Geographic Information Systems (GIS) Geographical distribution Geography Geospatial data Global Health Health Health risks HIV HIV infections HIV Infections - epidemiology HIV-1 Human immunodeficiency virus Humans Medical research Medicine and Health Sciences Online databases People and places Public health Remote sensing Reviews Risk analysis Risk Factors Satellite navigation systems Spatial analysis Studies Systems analysis |
title | Geographic Information Systems, spatial analysis, and HIV in Africa: A scoping review |
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