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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...
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Published in: | SpringerPlus 2016-07, Vol.5 (1), p.1014, Article 1014 |
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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 |
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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 & Engineering Collection</collection><collection>ProQuest One Sustainability</collection><collection>ProQuest Central</collection><collection>Advanced Technologies & Aerospace Collection</collection><collection>Agricultural & 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 & 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 & Aerospace Database</collection><collection>ProQuest Advanced Technologies & Aerospace Collection</collection><collection>Environmental Science Database</collection><collection>Earth, Atmospheric & 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> |
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title | Web-based GIS for spatial pattern detection: application to malaria incidence in Vietnam |
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