Association between Macroscopic-factors and Identified HIV/AIDS Cases among Injecting Drug Users： An Analysis Using Geographically Weighted Regression Model
Drug use （DU）, particularly injecting drug use （IDU） has been the main route of transmission and spread of Human Immunodeficiency Virus （HIV）/Acquired Immune Deficiency Syndrome （AIDSJ among injecting drug users （IDUs）[1]. Previous studies have proven that needles or cottons sharing during drug inje...
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| Veröffentlicht in: | Biomedical and environmental sciences 2014-04, Vol.27 (4), p.311-318 |
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| container_title | Biomedical and environmental sciences |
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| creator | XING, Jian Nan GUO, Wei QIAN, Sha Sha DING, Zheng Wei CHEN, Fang Fang PENG, Zhi Hang QIN, Qian Qian WANG, Lu |
| description | Drug use （DU）, particularly injecting drug use （IDU） has been the main route of transmission and spread of Human Immunodeficiency Virus （HIV）/Acquired Immune Deficiency Syndrome （AIDSJ among injecting drug users （IDUs）[1]. Previous studies have proven that needles or cottons sharing during drug injection were major risk factors for HIV/AIDS transmission at the personal level[z4]. Being a social behavioral issue, HIV/AIDS related risk factors should be far beyond the personal level. Therefore, studies on HIV/AIDS related risk factors should focus not only on the individual factors, but also on the association between HIV/AIDS cases and macroscopic-factors, such as economic status, transportation, health care services, etc[1]. The impact of the macroscopic-factors on HIV/AIDS status might be either positive or negative, which are potentially reflected in promoting, delaying or detecting HIV/AIDS epidemics. |
| doi_str_mv | 10.3967/bes2014.055 |
| format | Article |
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Previous studies have proven that needles or cottons sharing during drug injection were major risk factors for HIV/AIDS transmission at the personal level[z4]. Being a social behavioral issue, HIV/AIDS related risk factors should be far beyond the personal level. Therefore, studies on HIV/AIDS related risk factors should focus not only on the individual factors, but also on the association between HIV/AIDS cases and macroscopic-factors, such as economic status, transportation, health care services, etc[1]. The impact of the macroscopic-factors on HIV/AIDS status might be either positive or negative, which are potentially reflected in promoting, delaying or detecting HIV/AIDS epidemics.</description><identifier>ISSN: 0895-3988</identifier><identifier>EISSN: 2214-0190</identifier><identifier>DOI: 10.3967/bes2014.055</identifier><identifier>PMID: 24758761</identifier><language>eng</language><publisher>Netherlands: Elsevier B.V</publisher><subject>AIDS ; China - epidemiology ; Drug Users - statistics & numerical data ; Geography, Medical ; HIV ; HIV Infections - epidemiology ; HIV Infections - transmission ; Humans ; Injections - adverse effects ; Models, Statistical ; Principal Component Analysis ; Regression Analysis ; Socioeconomic Factors ; Spatial Analysis ; 加权回归模型 ; 吸毒者 ; 因子和 ; 宏观 ; 注射过程 ; 病例</subject><ispartof>Biomedical and environmental sciences, 2014-04, Vol.27 (4), p.311-318</ispartof><rights>2014 The Editorial Board of Biomedical and Environmental Sciences</rights><rights>Copyright © 2014 The Editorial Board of Biomedical and Environmental Sciences. Published by China CDC. All rights reserved.</rights><rights>Copyright © Wanfang Data Co. Ltd. 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Previous studies have proven that needles or cottons sharing during drug injection were major risk factors for HIV/AIDS transmission at the personal level[z4]. Being a social behavioral issue, HIV/AIDS related risk factors should be far beyond the personal level. Therefore, studies on HIV/AIDS related risk factors should focus not only on the individual factors, but also on the association between HIV/AIDS cases and macroscopic-factors, such as economic status, transportation, health care services, etc[1]. The impact of the macroscopic-factors on HIV/AIDS status might be either positive or negative, which are potentially reflected in promoting, delaying or detecting HIV/AIDS epidemics.</description><subject>AIDS</subject><subject>China - epidemiology</subject><subject>Drug Users - statistics & numerical data</subject><subject>Geography, Medical</subject><subject>HIV</subject><subject>HIV Infections - epidemiology</subject><subject>HIV Infections - transmission</subject><subject>Humans</subject><subject>Injections - adverse effects</subject><subject>Models, Statistical</subject><subject>Principal Component Analysis</subject><subject>Regression Analysis</subject><subject>Socioeconomic Factors</subject><subject>Spatial Analysis</subject><subject>加权回归模型</subject><subject>吸毒者</subject><subject>因子和</subject><subject>宏观</subject><subject>注射过程</subject><subject>病例</subject><issn>0895-3988</issn><issn>2214-0190</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2014</creationdate><recordtype>article</recordtype><sourceid>EIF</sourceid><recordid>eNo9kdFuFCEUhonR2LV65b3BpBfeTAsM7MDlZqvtJG2aVKuXhGHOzLKZhS3M2OyreOGT-E6-gmx2a0IC4Xzn5-c_CL2n5LxU8-qigcQI5edEiBdoxhjlBaGKvEQzIpUoSiXlCXqT0poQThWXr9EJ45WQ1ZzO0O9FSsE6M7rgcQPjE4DHt8bGkGzYOlt0xo4hJmx8i-sW_Og6By2-rr9fLOrLr3hpEuTqJvge134NdnT5dBmnHj8kiOnvn1944fMywy65lC_39SsIfTTblbNmGHb4B7h-NWbZe-gjpLQ3cxtaGN6iV50ZErw77qfo4cvnb8vr4ubuql4ubgpbUjYWnHQguGWqaSwoCW3HgFhaVQ2RVrA55YSIUtCykk1FObWlABCsrQwwOWdVeYrODrpPxnfG93odppgtJ31Ml3BCacY-HbBtDI8TpFFvXLIwDMZDmJKmgqr8GpEyox-O6NRsoNXb6DYm7vRz9BkQBwDyv346iDpZB95C62JOUbfBaUr0fsTPJnQece77eOizq5z5Y07zvzZXc0qFouU_082kAw</recordid><startdate>20140401</startdate><enddate>20140401</enddate><creator>XING, Jian Nan</creator><creator>GUO, Wei</creator><creator>QIAN, Sha Sha</creator><creator>DING, Zheng Wei</creator><creator>CHEN, Fang Fang</creator><creator>PENG, Zhi Hang</creator><creator>QIN, Qian Qian</creator><creator>WANG, Lu</creator><general>Elsevier B.V</general><general>National Center for AIDS/STD Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing 102206, China%Department of Epidemiology and Biostatistics, School of Public Health, Nanjing Medical University, Nanjing 210029, Jiangsu, 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>7X8</scope><scope>2B.</scope><scope>4A8</scope><scope>92I</scope><scope>93N</scope><scope>PSX</scope><scope>TCJ</scope></search><sort><creationdate>20140401</creationdate><title>Association between Macroscopic-factors and Identified HIV/AIDS Cases among Injecting Drug Users： An Analysis Using Geographically Weighted Regression Model</title><author>XING, Jian Nan ; GUO, Wei ; QIAN, Sha Sha ; DING, Zheng Wei ; CHEN, Fang Fang ; PENG, Zhi Hang ; QIN, Qian Qian ; WANG, Lu</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c312t-40fe54c29bbce98edf2e0c177b08c52614005351378b7141c35ee52d7ae286273</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2014</creationdate><topic>AIDS</topic><topic>China - epidemiology</topic><topic>Drug Users - statistics & numerical data</topic><topic>Geography, Medical</topic><topic>HIV</topic><topic>HIV Infections - epidemiology</topic><topic>HIV Infections - transmission</topic><topic>Humans</topic><topic>Injections - adverse effects</topic><topic>Models, Statistical</topic><topic>Principal Component Analysis</topic><topic>Regression Analysis</topic><topic>Socioeconomic Factors</topic><topic>Spatial Analysis</topic><topic>加权回归模型</topic><topic>吸毒者</topic><topic>因子和</topic><topic>宏观</topic><topic>注射过程</topic><topic>病例</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>XING, Jian Nan</creatorcontrib><creatorcontrib>GUO, Wei</creatorcontrib><creatorcontrib>QIAN, Sha Sha</creatorcontrib><creatorcontrib>DING, Zheng Wei</creatorcontrib><creatorcontrib>CHEN, Fang Fang</creatorcontrib><creatorcontrib>PENG, Zhi Hang</creatorcontrib><creatorcontrib>QIN, Qian Qian</creatorcontrib><creatorcontrib>WANG, Lu</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>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>Biomedical and environmental sciences</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>XING, Jian Nan</au><au>GUO, Wei</au><au>QIAN, Sha Sha</au><au>DING, Zheng Wei</au><au>CHEN, Fang Fang</au><au>PENG, Zhi Hang</au><au>QIN, Qian Qian</au><au>WANG, Lu</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Association between Macroscopic-factors and Identified HIV/AIDS Cases among Injecting Drug Users： An Analysis Using Geographically Weighted Regression Model</atitle><jtitle>Biomedical and environmental sciences</jtitle><addtitle>Biomedical and Environmental Sciences</addtitle><date>2014-04-01</date><risdate>2014</risdate><volume>27</volume><issue>4</issue><spage>311</spage><epage>318</epage><pages>311-318</pages><issn>0895-3988</issn><eissn>2214-0190</eissn><abstract>Drug use （DU）, particularly injecting drug use （IDU） has been the main route of transmission and spread of Human Immunodeficiency Virus （HIV）/Acquired Immune Deficiency Syndrome （AIDSJ among injecting drug users （IDUs）[1]. Previous studies have proven that needles or cottons sharing during drug injection were major risk factors for HIV/AIDS transmission at the personal level[z4]. Being a social behavioral issue, HIV/AIDS related risk factors should be far beyond the personal level. Therefore, studies on HIV/AIDS related risk factors should focus not only on the individual factors, but also on the association between HIV/AIDS cases and macroscopic-factors, such as economic status, transportation, health care services, etc[1]. The impact of the macroscopic-factors on HIV/AIDS status might be either positive or negative, which are potentially reflected in promoting, delaying or detecting HIV/AIDS epidemics.</abstract><cop>Netherlands</cop><pub>Elsevier B.V</pub><pmid>24758761</pmid><doi>10.3967/bes2014.055</doi><tpages>8</tpages></addata></record> |
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| source | MEDLINE; Elsevier ScienceDirect Journals; EZB-FREE-00999 freely available EZB journals; Alma/SFX Local Collection |
| subjects | AIDS China - epidemiology Drug Users - statistics & numerical data Geography, Medical HIV HIV Infections - epidemiology HIV Infections - transmission Humans Injections - adverse effects Models, Statistical Principal Component Analysis Regression Analysis Socioeconomic Factors Spatial Analysis 加权回归模型 吸毒者 因子和 宏观 注射过程 病例 |
| title | Association between Macroscopic-factors and Identified HIV/AIDS Cases among Injecting Drug Users： An Analysis Using Geographically Weighted Regression Model |
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