Loading…

Web-based GIS for spatial pattern detection: application to malaria incidence in Vietnam

Introduction There is a great concern on how to build up an interoperable health information system of public health and health information technology within the development of public information and health surveillance programme. Technically, some major issues remain regarding to health data visual...

Full description

Saved in:
Bibliographic Details
Published in:SpringerPlus 2016-07, Vol.5 (1), p.1014, Article 1014
Main Authors: Bui, Thanh Quang, Pham, Hai Minh
Format: Article
Language:English
Subjects:
Citations: Items that this one cites
Items that cite this one
Online Access:Get full text
Tags: Add Tag
No Tags, Be the first to tag this record!
cited_by cdi_FETCH-LOGICAL-c437t-d9b812d458eba319261198d8632514e3cadbc2538f6b0dae1ea8593abba268ff3
cites cdi_FETCH-LOGICAL-c437t-d9b812d458eba319261198d8632514e3cadbc2538f6b0dae1ea8593abba268ff3
container_end_page
container_issue 1
container_start_page 1014
container_title SpringerPlus
container_volume 5
creator Bui, Thanh Quang
Pham, Hai Minh
description Introduction There is a great concern on how to build up an interoperable health information system of public health and health information technology within the development of public information and health surveillance programme. Technically, some major issues remain regarding to health data visualization, spatial processing of health data, health information dissemination, data sharing and the access of local communities to health information. In combination with GIS, we propose a technical framework for web-based health data visualization and spatial analysis. Methods Data was collected from open map-servers and geocoded by open data kit package and data geocoding tools. The Web-based system is designed based on Open-source frameworks and libraries. The system provides Web-based analyst tool for pattern detection through three spatial tests: Nearest neighbour, K function, and Spatial Autocorrelation. Results The result is a web-based GIS, through which end users can detect disease patterns via selecting area, spatial test parameters and contribute to managers and decision makers. The end users can be health practitioners, educators, local communities, health sector authorities and decision makers. This web-based system allows for the improvement of health related services to public sector users as well as citizens in a secure manner. Conclusions The combination of spatial statistics and web-based GIS can be a solution that helps empower health practitioners in direct and specific intersectional actions, thus provide for better analysis, control and decision-making.
doi_str_mv 10.1186/s40064-016-2518-5
format article
fullrecord <record><control><sourceid>proquest_pubme</sourceid><recordid>TN_cdi_pubmedcentral_primary_oai_pubmedcentral_nih_gov_4938832</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><sourcerecordid>4272939321</sourcerecordid><originalsourceid>FETCH-LOGICAL-c437t-d9b812d458eba319261198d8632514e3cadbc2538f6b0dae1ea8593abba268ff3</originalsourceid><addsrcrecordid>eNp1UU1vFDEMHSEQrUp_ABcUifNAnGSyGQ5IqCqlUiUOfN4iJ_GUVLOZIcki8e_Jaku1HPDFtvz8_PG67jnwVwBGvy6Kc616DroXA5h-eNSdChhlD4bD46P4pDsv5Y430xtQG_60OxEbpQCkPO2-fyPXOywU2NX1JzYtmZUVa8SZNVcpJxaokq9xSW8YruscPe4TVhe2xRlzRBaTj4GSpxaxr5Fqwu2z7smEc6Hze3_WfXl_-fniQ3_z8er64t1N75Xc1D6MzoAIajDkUMIoNMBogtGyHaVIegzOi0GaSTsekIDQDKNE51BoM03yrHt74F13bkvBU6oZZ7vmuMX82y4Y7b-VFH_Y2-WXVaM0RopG8PKeIC8_d1SqvVt2ObWdLRilx0HrYWgoOKB8XkrJND1MAG73etiDHrbpYfd62H3Pi-PVHjr-fr8BxAFQWindUj4a_V_WP_7oloY</addsrcrecordid><sourcetype>Open Access Repository</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>1846956655</pqid></control><display><type>article</type><title>Web-based GIS for spatial pattern detection: application to malaria incidence in Vietnam</title><source>Springer Nature - SpringerLink Journals - Fully Open Access </source><source>PubMed Central</source><source>Free Full-Text Journals in Chemistry</source><creator>Bui, Thanh Quang ; Pham, Hai Minh</creator><creatorcontrib>Bui, Thanh Quang ; Pham, Hai Minh</creatorcontrib><description>Introduction There is a great concern on how to build up an interoperable health information system of public health and health information technology within the development of public information and health surveillance programme. Technically, some major issues remain regarding to health data visualization, spatial processing of health data, health information dissemination, data sharing and the access of local communities to health information. In combination with GIS, we propose a technical framework for web-based health data visualization and spatial analysis. Methods Data was collected from open map-servers and geocoded by open data kit package and data geocoding tools. The Web-based system is designed based on Open-source frameworks and libraries. The system provides Web-based analyst tool for pattern detection through three spatial tests: Nearest neighbour, K function, and Spatial Autocorrelation. Results The result is a web-based GIS, through which end users can detect disease patterns via selecting area, spatial test parameters and contribute to managers and decision makers. The end users can be health practitioners, educators, local communities, health sector authorities and decision makers. This web-based system allows for the improvement of health related services to public sector users as well as citizens in a secure manner. Conclusions The combination of spatial statistics and web-based GIS can be a solution that helps empower health practitioners in direct and specific intersectional actions, thus provide for better analysis, control and decision-making.</description><identifier>ISSN: 2193-1801</identifier><identifier>EISSN: 2193-1801</identifier><identifier>DOI: 10.1186/s40064-016-2518-5</identifier><identifier>PMID: 27441133</identifier><language>eng</language><publisher>Cham: Springer International Publishing</publisher><subject>Case Study ; Earth and Environmental Sciences ; Humanities and Social Sciences ; multidisciplinary ; Science ; Science (multidisciplinary)</subject><ispartof>SpringerPlus, 2016-07, Vol.5 (1), p.1014, Article 1014</ispartof><rights>The Author(s) 2016</rights><rights>SpringerPlus is a copyright of Springer, 2016.</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c437t-d9b812d458eba319261198d8632514e3cadbc2538f6b0dae1ea8593abba268ff3</citedby><cites>FETCH-LOGICAL-c437t-d9b812d458eba319261198d8632514e3cadbc2538f6b0dae1ea8593abba268ff3</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC4938832/pdf/$$EPDF$$P50$$Gpubmedcentral$$Hfree_for_read</linktopdf><linktohtml>$$Uhttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC4938832/$$EHTML$$P50$$Gpubmedcentral$$Hfree_for_read</linktohtml><link.rule.ids>230,314,727,780,784,885,27923,27924,53790,53792</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/27441133$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Bui, Thanh Quang</creatorcontrib><creatorcontrib>Pham, Hai Minh</creatorcontrib><title>Web-based GIS for spatial pattern detection: application to malaria incidence in Vietnam</title><title>SpringerPlus</title><addtitle>SpringerPlus</addtitle><addtitle>Springerplus</addtitle><description>Introduction There is a great concern on how to build up an interoperable health information system of public health and health information technology within the development of public information and health surveillance programme. Technically, some major issues remain regarding to health data visualization, spatial processing of health data, health information dissemination, data sharing and the access of local communities to health information. In combination with GIS, we propose a technical framework for web-based health data visualization and spatial analysis. Methods Data was collected from open map-servers and geocoded by open data kit package and data geocoding tools. The Web-based system is designed based on Open-source frameworks and libraries. The system provides Web-based analyst tool for pattern detection through three spatial tests: Nearest neighbour, K function, and Spatial Autocorrelation. Results The result is a web-based GIS, through which end users can detect disease patterns via selecting area, spatial test parameters and contribute to managers and decision makers. The end users can be health practitioners, educators, local communities, health sector authorities and decision makers. This web-based system allows for the improvement of health related services to public sector users as well as citizens in a secure manner. Conclusions The combination of spatial statistics and web-based GIS can be a solution that helps empower health practitioners in direct and specific intersectional actions, thus provide for better analysis, control and decision-making.</description><subject>Case Study</subject><subject>Earth and Environmental Sciences</subject><subject>Humanities and Social Sciences</subject><subject>multidisciplinary</subject><subject>Science</subject><subject>Science (multidisciplinary)</subject><issn>2193-1801</issn><issn>2193-1801</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2016</creationdate><recordtype>article</recordtype><recordid>eNp1UU1vFDEMHSEQrUp_ABcUifNAnGSyGQ5IqCqlUiUOfN4iJ_GUVLOZIcki8e_Jaku1HPDFtvz8_PG67jnwVwBGvy6Kc616DroXA5h-eNSdChhlD4bD46P4pDsv5Y430xtQG_60OxEbpQCkPO2-fyPXOywU2NX1JzYtmZUVa8SZNVcpJxaokq9xSW8YruscPe4TVhe2xRlzRBaTj4GSpxaxr5Fqwu2z7smEc6Hze3_WfXl_-fniQ3_z8er64t1N75Xc1D6MzoAIajDkUMIoNMBogtGyHaVIegzOi0GaSTsekIDQDKNE51BoM03yrHt74F13bkvBU6oZZ7vmuMX82y4Y7b-VFH_Y2-WXVaM0RopG8PKeIC8_d1SqvVt2ObWdLRilx0HrYWgoOKB8XkrJND1MAG73etiDHrbpYfd62H3Pi-PVHjr-fr8BxAFQWindUj4a_V_WP_7oloY</recordid><startdate>20160708</startdate><enddate>20160708</enddate><creator>Bui, Thanh Quang</creator><creator>Pham, Hai Minh</creator><general>Springer International Publishing</general><general>Springer Nature B.V</general><scope>C6C</scope><scope>NPM</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>3V.</scope><scope>7X2</scope><scope>8FE</scope><scope>8FG</scope><scope>8FH</scope><scope>8FK</scope><scope>ABJCF</scope><scope>AEUYN</scope><scope>AFKRA</scope><scope>ARAPS</scope><scope>ATCPS</scope><scope>AZQEC</scope><scope>BBNVY</scope><scope>BENPR</scope><scope>BGLVJ</scope><scope>BHPHI</scope><scope>BKSAR</scope><scope>CCPQU</scope><scope>D1I</scope><scope>DWQXO</scope><scope>GNUQQ</scope><scope>HCIFZ</scope><scope>JQ2</scope><scope>K7-</scope><scope>KB.</scope><scope>L6V</scope><scope>LK8</scope><scope>M0K</scope><scope>M7P</scope><scope>M7S</scope><scope>P5Z</scope><scope>P62</scope><scope>PATMY</scope><scope>PCBAR</scope><scope>PDBOC</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>PRINS</scope><scope>PTHSS</scope><scope>PYCSY</scope><scope>5PM</scope></search><sort><creationdate>20160708</creationdate><title>Web-based GIS for spatial pattern detection: application to malaria incidence in Vietnam</title><author>Bui, Thanh Quang ; Pham, Hai Minh</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c437t-d9b812d458eba319261198d8632514e3cadbc2538f6b0dae1ea8593abba268ff3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2016</creationdate><topic>Case Study</topic><topic>Earth and Environmental Sciences</topic><topic>Humanities and Social Sciences</topic><topic>multidisciplinary</topic><topic>Science</topic><topic>Science (multidisciplinary)</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Bui, Thanh Quang</creatorcontrib><creatorcontrib>Pham, Hai Minh</creatorcontrib><collection>Springer Nature OA Free Journals</collection><collection>PubMed</collection><collection>CrossRef</collection><collection>ProQuest Central (Corporate)</collection><collection>Agricultural Science Collection</collection><collection>ProQuest SciTech Collection</collection><collection>ProQuest Technology Collection</collection><collection>ProQuest Natural Science Collection</collection><collection>ProQuest Central (Alumni) (purchase pre-March 2016)</collection><collection>Materials Science &amp; Engineering Collection</collection><collection>ProQuest One Sustainability</collection><collection>ProQuest Central</collection><collection>Advanced Technologies &amp; Aerospace Collection</collection><collection>Agricultural &amp; Environmental Science Collection</collection><collection>ProQuest Central Essentials</collection><collection>Biological Science Collection</collection><collection>ProQuest Central</collection><collection>Technology Collection</collection><collection>ProQuest Natural Science Collection</collection><collection>Earth, Atmospheric &amp; Aquatic Science Collection</collection><collection>ProQuest One Community College</collection><collection>ProQuest Materials Science Collection</collection><collection>ProQuest Central Korea</collection><collection>ProQuest Central Student</collection><collection>SciTech Premium Collection</collection><collection>ProQuest Computer Science Collection</collection><collection>Computer Science Database</collection><collection>Materials Science Database</collection><collection>ProQuest Engineering Collection</collection><collection>ProQuest Biological Science Collection</collection><collection>Agricultural Science Database</collection><collection>Biological Science Database</collection><collection>Engineering Database</collection><collection>Advanced Technologies &amp; Aerospace Database</collection><collection>ProQuest Advanced Technologies &amp; Aerospace Collection</collection><collection>Environmental Science Database</collection><collection>Earth, Atmospheric &amp; Aquatic Science Database</collection><collection>Materials Science Collection</collection><collection>ProQuest One Academic Eastern Edition (DO NOT USE)</collection><collection>ProQuest One Academic</collection><collection>ProQuest One Academic UKI Edition</collection><collection>ProQuest Central China</collection><collection>Engineering Collection</collection><collection>Environmental Science Collection</collection><collection>PubMed Central (Full Participant titles)</collection><jtitle>SpringerPlus</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Bui, Thanh Quang</au><au>Pham, Hai Minh</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Web-based GIS for spatial pattern detection: application to malaria incidence in Vietnam</atitle><jtitle>SpringerPlus</jtitle><stitle>SpringerPlus</stitle><addtitle>Springerplus</addtitle><date>2016-07-08</date><risdate>2016</risdate><volume>5</volume><issue>1</issue><spage>1014</spage><pages>1014-</pages><artnum>1014</artnum><issn>2193-1801</issn><eissn>2193-1801</eissn><abstract>Introduction There is a great concern on how to build up an interoperable health information system of public health and health information technology within the development of public information and health surveillance programme. Technically, some major issues remain regarding to health data visualization, spatial processing of health data, health information dissemination, data sharing and the access of local communities to health information. In combination with GIS, we propose a technical framework for web-based health data visualization and spatial analysis. Methods Data was collected from open map-servers and geocoded by open data kit package and data geocoding tools. The Web-based system is designed based on Open-source frameworks and libraries. The system provides Web-based analyst tool for pattern detection through three spatial tests: Nearest neighbour, K function, and Spatial Autocorrelation. Results The result is a web-based GIS, through which end users can detect disease patterns via selecting area, spatial test parameters and contribute to managers and decision makers. The end users can be health practitioners, educators, local communities, health sector authorities and decision makers. This web-based system allows for the improvement of health related services to public sector users as well as citizens in a secure manner. Conclusions The combination of spatial statistics and web-based GIS can be a solution that helps empower health practitioners in direct and specific intersectional actions, thus provide for better analysis, control and decision-making.</abstract><cop>Cham</cop><pub>Springer International Publishing</pub><pmid>27441133</pmid><doi>10.1186/s40064-016-2518-5</doi><oa>free_for_read</oa></addata></record>
fulltext fulltext
identifier ISSN: 2193-1801
ispartof SpringerPlus, 2016-07, Vol.5 (1), p.1014, Article 1014
issn 2193-1801
2193-1801
language eng
recordid cdi_pubmedcentral_primary_oai_pubmedcentral_nih_gov_4938832
source Springer Nature - SpringerLink Journals - Fully Open Access ; PubMed Central; Free Full-Text Journals in Chemistry
subjects Case Study
Earth and Environmental Sciences
Humanities and Social Sciences
multidisciplinary
Science
Science (multidisciplinary)
title Web-based GIS for spatial pattern detection: application to malaria incidence in Vietnam
url http://sfxeu10.hosted.exlibrisgroup.com/loughborough?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2025-01-11T14%3A46%3A54IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-proquest_pubme&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.genre=article&rft.atitle=Web-based%20GIS%20for%20spatial%20pattern%20detection:%20application%20to%20malaria%20incidence%20in%20Vietnam&rft.jtitle=SpringerPlus&rft.au=Bui,%20Thanh%20Quang&rft.date=2016-07-08&rft.volume=5&rft.issue=1&rft.spage=1014&rft.pages=1014-&rft.artnum=1014&rft.issn=2193-1801&rft.eissn=2193-1801&rft_id=info:doi/10.1186/s40064-016-2518-5&rft_dat=%3Cproquest_pubme%3E4272939321%3C/proquest_pubme%3E%3Cgrp_id%3Ecdi_FETCH-LOGICAL-c437t-d9b812d458eba319261198d8632514e3cadbc2538f6b0dae1ea8593abba268ff3%3C/grp_id%3E%3Coa%3E%3C/oa%3E%3Curl%3E%3C/url%3E&rft_id=info:oai/&rft_pqid=1846956655&rft_id=info:pmid/27441133&rfr_iscdi=true