Promising of spatial-temporal model in public health
Investigating the transmission of infectious diseases, predicting the epidemic trend of an infectious disease and evaluating the effects of control measures are the continuing subject of public health participators. In recent years the spatial-temporal model has been proposed as a powerful tool to g...
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Veröffentlicht in: | Chinese medical journal 2009-02, Vol.122 (3), p.349-350 |
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container_title | Chinese medical journal |
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creator | Jia, Zhong-wei Li, Xiao-wen Wang, Wei Cheng, Shi-ming |
description | Investigating the transmission of infectious diseases, predicting the epidemic trend of an infectious disease and evaluating the effects of control measures are the continuing subject of public health participators. In recent years the spatial-temporal model has been proposed as a powerful tool to get this information from large incomplete and insufficiently general monitoring data. |
doi_str_mv | 10.3760/cma.j.issn.0366-6999.2009.03.021 |
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In recent years the spatial-temporal model has been proposed as a powerful tool to get this information from large incomplete and insufficiently general monitoring data.</description><subject>Geographic Information Systems</subject><subject>Models, Theoretical</subject><subject>Public Health - methods</subject><subject>传染病</subject><subject>公众健康</subject><subject>公共卫生</subject><subject>控制措</subject><subject>时空</subject><subject>流行趋势预测</subject><subject>监测数据</subject><issn>0366-6999</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2009</creationdate><recordtype>article</recordtype><sourceid>EIF</sourceid><recordid>eNpFkE1LxDAURbNQnHH0L0hxIW5a8zFJmp0y-AUDutB1SJt02po2naZF9NebMsVZPd7j8C73AHCLYEI4g3d5o5I6qbxvE0gYi5kQIsEQirAmEKMTsPy_L8C59zWEmFLOzsACCUxYivgSrN9711S-aneRKyLfqaFSNh5M07le2ahx2tioaqNuzGyVR6VRdigvwGmhrDeX81yBz6fHj81LvH17ft08bOOcpHiI14hygbTKdEp5qjhbGyQUpFmKGMWFzgghCglCNTfIBJrgjHOci6zQmGtNVuDm8PdbtYVqd7J2Y9-GRPlb5k09lYUkVD2CXe_2o_GDDJ1yY61qjRu9ZExQRjkJ4P0BzHvnfW8K2fVVo_ofiaCctMqgVdZy0ionfXLSJ6eksMpD1tWcNWaN0ccHs9MAXM8ZpWt3-6BWZir_KiprJBaMcZEy8gdAdoNp</recordid><startdate>20090205</startdate><enddate>20090205</enddate><creator>Jia, Zhong-wei</creator><creator>Li, Xiao-wen</creator><creator>Wang, Wei</creator><creator>Cheng, Shi-ming</creator><general>School of Public Health and Family Medicine, Capital Medical University, Beijing 100069, China%Institute of Remote Sensing Applications Chinese Academy of Sciences, P.O.Box9718, Beijing 100101, China%National Center for Tuberculosis Control and Prevention, Chinese Center for Disease control and Prevention, Beijing 100050, China</general><scope>2RA</scope><scope>92L</scope><scope>CQIGP</scope><scope>W91</scope><scope>~WA</scope><scope>CGR</scope><scope>CUY</scope><scope>CVF</scope><scope>ECM</scope><scope>EIF</scope><scope>NPM</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>7X8</scope><scope>2B.</scope><scope>4A8</scope><scope>92I</scope><scope>93N</scope><scope>PSX</scope><scope>TCJ</scope></search><sort><creationdate>20090205</creationdate><title>Promising of spatial-temporal model in public health</title><author>Jia, Zhong-wei ; Li, Xiao-wen ; Wang, Wei ; Cheng, Shi-ming</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c382t-415791dabd8578a764e19a05b81652fdb333a1935d7e1e41532b772c9bfd27dd3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2009</creationdate><topic>Geographic Information Systems</topic><topic>Models, Theoretical</topic><topic>Public Health - methods</topic><topic>传染病</topic><topic>公众健康</topic><topic>公共卫生</topic><topic>控制措</topic><topic>时空</topic><topic>流行趋势预测</topic><topic>监测数据</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Jia, Zhong-wei</creatorcontrib><creatorcontrib>Li, Xiao-wen</creatorcontrib><creatorcontrib>Wang, Wei</creatorcontrib><creatorcontrib>Cheng, Shi-ming</creatorcontrib><collection>中文科技期刊数据库</collection><collection>中文科技期刊数据库-CALIS站点</collection><collection>中文科技期刊数据库-7.0平台</collection><collection>中文科技期刊数据库-医药卫生</collection><collection>中文科技期刊数据库- 镜像站点</collection><collection>Medline</collection><collection>MEDLINE</collection><collection>MEDLINE (Ovid)</collection><collection>MEDLINE</collection><collection>MEDLINE</collection><collection>PubMed</collection><collection>CrossRef</collection><collection>MEDLINE - Academic</collection><collection>Wanfang Data Journals - Hong Kong</collection><collection>WANFANG Data Centre</collection><collection>Wanfang Data Journals</collection><collection>万方数据期刊 - 香港版</collection><collection>China Online Journals (COJ)</collection><collection>China Online Journals (COJ)</collection><jtitle>Chinese medical journal</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Jia, Zhong-wei</au><au>Li, Xiao-wen</au><au>Wang, Wei</au><au>Cheng, Shi-ming</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Promising of spatial-temporal model in public health</atitle><jtitle>Chinese medical journal</jtitle><addtitle>Chinese Medical Journal</addtitle><date>2009-02-05</date><risdate>2009</risdate><volume>122</volume><issue>3</issue><spage>349</spage><epage>350</epage><pages>349-350</pages><issn>0366-6999</issn><abstract>Investigating the transmission of infectious diseases, predicting the epidemic trend of an infectious disease and evaluating the effects of control measures are the continuing subject of public health participators. 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source | MEDLINE; DOAJ Directory of Open Access Journals; Elektronische Zeitschriftenbibliothek - Frei zugängliche E-Journals |
subjects | Geographic Information Systems Models, Theoretical Public Health - methods 传染病 公众健康 公共卫生 控制措 时空 流行趋势预测 监测数据 |
title | Promising of spatial-temporal model in public health |
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