Objective To construct a national important surveillance data integration platform. Methods Based on the spatio- temporal characteristics and biological characteristics of national important surveillance data, the B/S (browser/server) architecture design and JAVA programming technology development platform of J2EE (Java 2 Platform Enterprise Edition) system were adopted to construct this platform. Results A query and visualization platform of national important surveillance data such as multi-source and multi-scale important vector data, important vector-borne diseases, invasive animals and plants, pathogenic microorganisms, and biosafety profile was developed. The main functions of the platform included platform introduction, sub-database query and visualization, data integration query and visualization, and dengue fever prediction and early warning. Conclusion The construction of a national important surveillance data integration platform helps to solve problems such as different data standards, decentralized management, and uneven quality. It is conducive to better data exchange and sharing between multiple departments and multiple units.
YUE Yu-juan, WU Hai-xia, REN Dong-sheng, WANG Jun, LIU Qi-yong
. Construction of a national important surveillance data integration latform[J]. Chinese Journal of Vector Biology and Control, 2019
, 30(4)
: 387
-390
.
DOI: 10.11853/j.issn.1003.8280.2019.04.007
[1] 李伟华,郑彦宁,刘志辉. 国内外数据整合研究进展分析[J]. 数字图书馆论坛,2015(6):54-61. DOI:10.3772/j.issn. 1673-2286.2015.06.009.
[2] 黄华南. 基于GIS的国土房产数据整合方案设计[J]. 测绘通报,2007(10):64-66. DOI:10.3969/j.issn.0494-0911.2007.10. 020.
[3] 张李军,刘寿福,黄东海,等. 南京市城乡地籍数据整合若干问题探讨[J]. 安徽农业科学,2015,43(1):295-297. DOI:10.3969/j.issn.0517-6611.2015.01.101.
[4] 荣芳. 基于数据整合的地籍信息系统设计与实现[J]. 地理空间信息,2015,13(6):36-37,43. DOI:10.3969/j.issn.1672-4623. 2015.06.012.
[5] 刘志杰,金秉福,张瑞端,等. 海底沉积物碎屑矿物数据整合技术研究[J]. 海洋通报,2015,34(6):657-662. DOI:10.11840/j.issn.1001-6392.2015.06.008.
[6] Ma Z,Hart MM,Redmond RL. Mapping vegetation across large geographic areas:integration of remote sensing and GIS to classify multisource data[J]. Photogramm Eng Remote Sens,2001,67(3):295-307.
[7] 李勇,包世泰,周品,等. ECDIS与GIS数据集成研究[J]. 测绘科学,2007,32(4):135-137. DOI:10.3771/j.issn.1009-2307. 2007.04.050.
[8] Karnatak HC,Shukla R,Sharma VK,et al. Spatial mashup technology and real time data integration in geo-web application using open source GIS-a case study for disaster management[J]. Geocarto Int,2012,27(6):499-514. DOI:10.1080/10106049.2011.650651.
[9] Salleh SA,Hamid JRA,Ariffin IM. Investigation of potential integration of spectroradiometer data with GIS technology:the spectro-GIS tools[J]. IOP Conf Ser Earth Environ Sci,2014,18(1):012053. DOI:10.1088/1755-1315/18/1/012053.
[10] Goble C,Stevens R. State of the nation in data integration for bioinformatics[J]. J Biomed Inform,2008,41(5):687-693. DOI:10.1016/j.jbi.2008.01.008.
[11] Seoane JA,Aguiar-Pulido V,Munteanu CR,et al. Biomedical data integration in computational drug design and bioinformatics[J]. Curr Comput Aided Drug Des,2013,9(1):108-117. DOI:10.2174/15734099112089990011.
[12] Fagan A,Culhane AC,Higgins DG. A multivariate analysis approach to the integration of proteomic and gene expression data[J]. Proteomics,2007,7(13):2162-2171. DOI:10.1002/pmic. 200600898.
[13] Rezola A,Pey J,Tobalina L,et al. Advances in network-based metabolic pathway analysis and gene expression data integration[J]. Brief Bioinform,2015,16(2):265-279. DOI:10.1093/bib/bbu009.
[14] de la Prieta F,Rodríguez S,Bajo J,et al. Data integration in cloud computing environment[C]//Proceedings of the 4th International Workshop on Knowledge Discovery,Knowledge Management and Decision Support. Mazatlan,Mexico:Atlantis Press,2013:180-185.
[15] 邹晓妮,吴菲,李静静,等. 医院内法定传染病信息推送平台开发与实现[J]. 中国卫生信息管理,2014,11(6):596-601.
[16] 李梅,苗润莲,张岸,等. 基于GIS的京津冀科技资源数字地图服务平台构建[J]. 现代情报,2017,37(6):172-177. DOI:10. 3969/j.issn.1008-0821.2017.06.028.
[17] 唐健,沈陈华,周国峰,等. 国土资源数据整合方案设计及其实现研究[J]. 中国土地科学,2009,23(9):72-78. DOI:10. 3969/j.issn.1001-8158.2009.09.014.
