Malaria Vulnerability Map Mobile System Development Using GIS-Based Decision-Making Technique
This paper aimed at improving the lack of GIS information use and compatibility of multiplatform which represented limits that existing malaria risk analysis tools had. For this, the author developed mobile web-based malaria vulnerability map system using GIS information. This system consists of sys...
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Veröffentlicht in: | Mobile information systems 2018-01, Vol.2018 (2018), p.1-9 |
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description | This paper aimed at improving the lack of GIS information use and compatibility of multiplatform which represented limits that existing malaria risk analysis tools had. For this, the author developed mobile web-based malaria vulnerability map system using GIS information. This system consists of system database construction, malaria risk calculation function, visual expression function, and website and mobile application. This system was developed based on Incheon region only. Database includes information on air temperature and amount of precipitation as well. With regard to malaria risk calculation, guideline provided by Korea Centers for Disease Control and Prevention was followed first and then decision-making technique was used. Calculating criteria value for risk index made it possible to estimate more precise risk. With regard to visual expression function, database constructed earlier and risk information were linked to print out graphic map and graphs so that more intuitive and visible expression can be provided based on animation technique. This system allows a user to check information in real time and can be used anywhere anyplace. Mobile push function is to enhance user’s convenience. Such web map is useful to general users as well as experts. |
doi_str_mv | 10.1155/2018/8436210 |
format | Article |
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Mobile push function is to enhance user’s convenience. Such web map is useful to general users as well as experts.</description><identifier>ISSN: 1574-017X</identifier><identifier>EISSN: 1875-905X</identifier><identifier>DOI: 10.1155/2018/8436210</identifier><language>eng</language><publisher>Cairo, Egypt: Hindawi Publishing Corporation</publisher><subject>Air temperature ; Animation ; Applications programs ; Big Data ; Cybersecurity ; Data base management systems ; Decision making ; Disease control ; Infectious diseases ; Integrated approach ; Malaria ; Mathematical analysis ; Methods ; Mobile computing ; Risk analysis ; Science ; Vulnerability</subject><ispartof>Mobile information systems, 2018-01, Vol.2018 (2018), p.1-9</ispartof><rights>Copyright © 2018 Jung-Yoon Kim et al.</rights><rights>Copyright © 2018 Jung-Yoon Kim et al. This is an open access article distributed under the Creative Commons Attribution License (the “License”), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. http://creativecommons.org/licenses/by/4.0</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c360t-1ec0625df8226dd6f32eb7b204e3998a5afaba3c295a8552e60c802b2d18a6a73</citedby><cites>FETCH-LOGICAL-c360t-1ec0625df8226dd6f32eb7b204e3998a5afaba3c295a8552e60c802b2d18a6a73</cites><orcidid>0000-0002-2396-9514 ; 0000-0002-2862-6641</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><link.rule.ids>314,780,784,27924,27925</link.rule.ids></links><search><contributor>Yim, Jaegeol</contributor><contributor>Jaegeol Yim</contributor><creatorcontrib>Kim, Jung Yoon</creatorcontrib><creatorcontrib>Park, Dong Kyun</creatorcontrib><creatorcontrib>Eun, Sung-Jong</creatorcontrib><title>Malaria Vulnerability Map Mobile System Development Using GIS-Based Decision-Making Technique</title><title>Mobile information systems</title><description>This paper aimed at improving the lack of GIS information use and compatibility of multiplatform which represented limits that existing malaria risk analysis tools had. For this, the author developed mobile web-based malaria vulnerability map system using GIS information. This system consists of system database construction, malaria risk calculation function, visual expression function, and website and mobile application. This system was developed based on Incheon region only. Database includes information on air temperature and amount of precipitation as well. With regard to malaria risk calculation, guideline provided by Korea Centers for Disease Control and Prevention was followed first and then decision-making technique was used. Calculating criteria value for risk index made it possible to estimate more precise risk. With regard to visual expression function, database constructed earlier and risk information were linked to print out graphic map and graphs so that more intuitive and visible expression can be provided based on animation technique. This system allows a user to check information in real time and can be used anywhere anyplace. Mobile push function is to enhance user’s convenience. Such web map is useful to general users as well as experts.</description><subject>Air temperature</subject><subject>Animation</subject><subject>Applications programs</subject><subject>Big Data</subject><subject>Cybersecurity</subject><subject>Data base management systems</subject><subject>Decision making</subject><subject>Disease control</subject><subject>Infectious diseases</subject><subject>Integrated approach</subject><subject>Malaria</subject><subject>Mathematical analysis</subject><subject>Methods</subject><subject>Mobile computing</subject><subject>Risk analysis</subject><subject>Science</subject><subject>Vulnerability</subject><issn>1574-017X</issn><issn>1875-905X</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2018</creationdate><recordtype>article</recordtype><sourceid>RHX</sourceid><recordid>eNqFkEFLw0AQRhdRsFZvniXgUWN3N9nN5qhVa6HBQ1vpRcIkmditaVJ3U6X_3i0pePQ0M3yP-eARcsnoHWNCDDhlaqDCQHJGj0iPqUj4MRWLY7eLKPQpixan5MzaFaWSBiLqkfcEKjAavLdtVaOBTFe63XkJbLykcQd6051tce094jdWzWaNdevNra4_vNF46j-AxcJluba6qf0EPvfJDPNlrb-2eE5OSqgsXhxmn8yfn2bDF3_yOhoP7yd-Hkja-gxzKrkoSsW5LApZBhyzKOM0xCCOFQgoIYMg57EAJQRHSXNFecYLpkBCFPTJdfd3YxpXa9t01WxN7SpTzlgoGedKOOq2o3LTWGuwTDdGr8HsUkbTvcB0LzA9CHT4TYcvdV3Aj_6PvupodAyW8EdzKpzu4Bc2DXlc</recordid><startdate>20180101</startdate><enddate>20180101</enddate><creator>Kim, Jung Yoon</creator><creator>Park, Dong Kyun</creator><creator>Eun, Sung-Jong</creator><general>Hindawi Publishing Corporation</general><general>Hindawi</general><general>Hindawi Limited</general><scope>ADJCN</scope><scope>AHFXO</scope><scope>RHU</scope><scope>RHW</scope><scope>RHX</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>7SC</scope><scope>7SP</scope><scope>8FD</scope><scope>JQ2</scope><scope>L7M</scope><scope>L~C</scope><scope>L~D</scope><orcidid>https://orcid.org/0000-0002-2396-9514</orcidid><orcidid>https://orcid.org/0000-0002-2862-6641</orcidid></search><sort><creationdate>20180101</creationdate><title>Malaria Vulnerability Map Mobile System Development Using GIS-Based Decision-Making Technique</title><author>Kim, Jung Yoon ; Park, Dong Kyun ; Eun, Sung-Jong</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c360t-1ec0625df8226dd6f32eb7b204e3998a5afaba3c295a8552e60c802b2d18a6a73</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2018</creationdate><topic>Air temperature</topic><topic>Animation</topic><topic>Applications programs</topic><topic>Big Data</topic><topic>Cybersecurity</topic><topic>Data base management systems</topic><topic>Decision making</topic><topic>Disease control</topic><topic>Infectious diseases</topic><topic>Integrated approach</topic><topic>Malaria</topic><topic>Mathematical analysis</topic><topic>Methods</topic><topic>Mobile computing</topic><topic>Risk analysis</topic><topic>Science</topic><topic>Vulnerability</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Kim, Jung Yoon</creatorcontrib><creatorcontrib>Park, Dong Kyun</creatorcontrib><creatorcontrib>Eun, Sung-Jong</creatorcontrib><collection>الدوريات العلمية والإحصائية - e-Marefa Academic and Statistical Periodicals</collection><collection>معرفة - المحتوى العربي الأكاديمي المتكامل - e-Marefa Academic Complete</collection><collection>Hindawi Publishing Complete</collection><collection>Hindawi Publishing Subscription Journals</collection><collection>Hindawi Publishing Open Access Journals</collection><collection>CrossRef</collection><collection>Computer and Information Systems Abstracts</collection><collection>Electronics & Communications Abstracts</collection><collection>Technology Research Database</collection><collection>ProQuest Computer Science Collection</collection><collection>Advanced Technologies Database with Aerospace</collection><collection>Computer and Information Systems Abstracts Academic</collection><collection>Computer and Information Systems Abstracts Professional</collection><jtitle>Mobile information systems</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Kim, Jung Yoon</au><au>Park, Dong Kyun</au><au>Eun, Sung-Jong</au><au>Yim, Jaegeol</au><au>Jaegeol Yim</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Malaria Vulnerability Map Mobile System Development Using GIS-Based Decision-Making Technique</atitle><jtitle>Mobile information systems</jtitle><date>2018-01-01</date><risdate>2018</risdate><volume>2018</volume><issue>2018</issue><spage>1</spage><epage>9</epage><pages>1-9</pages><issn>1574-017X</issn><eissn>1875-905X</eissn><abstract>This paper aimed at improving the lack of GIS information use and compatibility of multiplatform which represented limits that existing malaria risk analysis tools had. For this, the author developed mobile web-based malaria vulnerability map system using GIS information. This system consists of system database construction, malaria risk calculation function, visual expression function, and website and mobile application. This system was developed based on Incheon region only. Database includes information on air temperature and amount of precipitation as well. With regard to malaria risk calculation, guideline provided by Korea Centers for Disease Control and Prevention was followed first and then decision-making technique was used. Calculating criteria value for risk index made it possible to estimate more precise risk. With regard to visual expression function, database constructed earlier and risk information were linked to print out graphic map and graphs so that more intuitive and visible expression can be provided based on animation technique. This system allows a user to check information in real time and can be used anywhere anyplace. Mobile push function is to enhance user’s convenience. Such web map is useful to general users as well as experts.</abstract><cop>Cairo, Egypt</cop><pub>Hindawi Publishing Corporation</pub><doi>10.1155/2018/8436210</doi><tpages>9</tpages><orcidid>https://orcid.org/0000-0002-2396-9514</orcidid><orcidid>https://orcid.org/0000-0002-2862-6641</orcidid><oa>free_for_read</oa></addata></record> |
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subjects | Air temperature Animation Applications programs Big Data Cybersecurity Data base management systems Decision making Disease control Infectious diseases Integrated approach Malaria Mathematical analysis Methods Mobile computing Risk analysis Science Vulnerability |
title | Malaria Vulnerability Map Mobile System Development Using GIS-Based Decision-Making Technique |
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