Social and Geographic Distance in HIV Risk
Objective: The objective of this study was to examine the relationship between social distance (measured as the geodesic, or shortest distance, between 2 people in a connected network) and geographic distance (measured as the actual distance between them in kilometers [km]). Study: We used data from...
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Veröffentlicht in: | Sexually transmitted diseases 2005-08, Vol.32 (8), p.506-512 |
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description | Objective: The objective of this study was to examine the relationship between social distance (measured as the geodesic, or shortest distance, between 2 people in a connected network) and geographic distance (measured as the actual distance between them in kilometers [km]). Study: We used data from a study of 595 persons at risk for HIV and their sexual and drug-using partners (total N = 8920 unique individuals) conducted in Colorado Springs, Colorado, from 1988 to 1992—a longitudinal cohort study that ascertained sociodemographic, clinical, behavioral, and network information about participants. We used place of residence as the geographic marker and calculated distance between people grouped by various characteristics of interest. Results: Fifty-two percent of all dyads were separated by a distance of 4 km or less. The closest pairs were persons who both shared needles and had sexual contact (mean = 3.2 km), and HIV-positive persons and their contacts (mean = 2.9). The most distant pairs were prostitutes and their paying partners (mean = 6.1 km). In a connected subset of 348 respondents, almost half the persons were between 3 and 6 steps from each other in the social network and were separated by a distance of 2 to 8 km. Using block group centroids, the mean distance between all persons in Colorado Springs was 12.4 km compared with a mean distance of 5.4 km between all dyads in this study (P < 0.0001). The subgroup of HIV-positive people and their contacts was drawn in real space on a map of Colorado Springs and revealed tight clustering of this group in the downtown area. Conclusion: The association of social and geographic distance in an urban group of people at risk for HIV provides demonstration of the importance of geographic clustering in the potential transmission of HIV. The proximity of persons connected within a network, but not necessarily known to each other, suggests that a high probability of partner selection from within the group may be an important factor in maintenance of HIV endemicity. |
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Study: We used data from a study of 595 persons at risk for HIV and their sexual and drug-using partners (total N = 8920 unique individuals) conducted in Colorado Springs, Colorado, from 1988 to 1992—a longitudinal cohort study that ascertained sociodemographic, clinical, behavioral, and network information about participants. We used place of residence as the geographic marker and calculated distance between people grouped by various characteristics of interest. Results: Fifty-two percent of all dyads were separated by a distance of 4 km or less. The closest pairs were persons who both shared needles and had sexual contact (mean = 3.2 km), and HIV-positive persons and their contacts (mean = 2.9). The most distant pairs were prostitutes and their paying partners (mean = 6.1 km). In a connected subset of 348 respondents, almost half the persons were between 3 and 6 steps from each other in the social network and were separated by a distance of 2 to 8 km. Using block group centroids, the mean distance between all persons in Colorado Springs was 12.4 km compared with a mean distance of 5.4 km between all dyads in this study (P < 0.0001). The subgroup of HIV-positive people and their contacts was drawn in real space on a map of Colorado Springs and revealed tight clustering of this group in the downtown area. Conclusion: The association of social and geographic distance in an urban group of people at risk for HIV provides demonstration of the importance of geographic clustering in the potential transmission of HIV. The proximity of persons connected within a network, but not necessarily known to each other, suggests that a high probability of partner selection from within the group may be an important factor in maintenance of HIV endemicity.</description><identifier>ISSN: 0148-5717</identifier><identifier>EISSN: 1537-4521</identifier><identifier>DOI: 10.1097/01.olq.0000161191.12026.ca</identifier><identifier>PMID: 16041254</identifier><identifier>CODEN: STRDDM</identifier><language>eng</language><publisher>Hagerstown, MD: Lippincott Williams & Wilkins</publisher><subject>Biological and medical sciences ; Cluster Analysis ; Cohort Studies ; Colorado - epidemiology ; Demography ; Female ; General aspects ; Geography ; Health risk assessment ; HIV ; HIV Infections - epidemiology ; HIV Infections - etiology ; HIV Infections - prevention & control ; Human immunodeficiency virus ; Human infectious diseases. Experimental studies and models ; Human viral diseases ; Humans ; Infectious diseases ; Interviews as Topic ; Longitudinal Studies ; Male ; Medical sciences ; Residence Characteristics ; Risk-Taking ; Sexual Behavior ; Sexual Partners ; Social Support ; Urban areas ; Viral diseases ; Viral diseases of the lymphoid tissue and the blood. Aids</subject><ispartof>Sexually transmitted diseases, 2005-08, Vol.32 (8), p.506-512</ispartof><rights>Copyright © 2004 American Sexually Transmitted Diseases Association</rights><rights>2005 INIST-CNRS</rights><rights>Copyright Lippincott Williams & Wilkins Aug 2005</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c479t-346b79b5b6f005f2a4a3e46a08e49e661ceb57d814a942b959c6754c34f905b03</citedby><cites>FETCH-LOGICAL-c479t-346b79b5b6f005f2a4a3e46a08e49e661ceb57d814a942b959c6754c34f905b03</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://www.jstor.org/stable/pdf/44969522$$EPDF$$P50$$Gjstor$$H</linktopdf><linktohtml>$$Uhttps://www.jstor.org/stable/44969522$$EHTML$$P50$$Gjstor$$H</linktohtml><link.rule.ids>314,777,781,800,27905,27906,30980,57998,58231</link.rule.ids><backlink>$$Uhttp://pascal-francis.inist.fr/vibad/index.php?action=getRecordDetail&idt=17033332$$DView record in Pascal Francis$$Hfree_for_read</backlink><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/16041254$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>ROTHENBERG, RICHARD</creatorcontrib><creatorcontrib>MUTH, STEPHEN Q.</creatorcontrib><creatorcontrib>MALONE, SHAUNA</creatorcontrib><creatorcontrib>POTTERAT, JOHN J.</creatorcontrib><creatorcontrib>WOODHOUSE, DONALD E.</creatorcontrib><title>Social and Geographic Distance in HIV Risk</title><title>Sexually transmitted diseases</title><addtitle>Sex Transm Dis</addtitle><description>Objective: The objective of this study was to examine the relationship between social distance (measured as the geodesic, or shortest distance, between 2 people in a connected network) and geographic distance (measured as the actual distance between them in kilometers [km]). Study: We used data from a study of 595 persons at risk for HIV and their sexual and drug-using partners (total N = 8920 unique individuals) conducted in Colorado Springs, Colorado, from 1988 to 1992—a longitudinal cohort study that ascertained sociodemographic, clinical, behavioral, and network information about participants. We used place of residence as the geographic marker and calculated distance between people grouped by various characteristics of interest. Results: Fifty-two percent of all dyads were separated by a distance of 4 km or less. The closest pairs were persons who both shared needles and had sexual contact (mean = 3.2 km), and HIV-positive persons and their contacts (mean = 2.9). The most distant pairs were prostitutes and their paying partners (mean = 6.1 km). In a connected subset of 348 respondents, almost half the persons were between 3 and 6 steps from each other in the social network and were separated by a distance of 2 to 8 km. Using block group centroids, the mean distance between all persons in Colorado Springs was 12.4 km compared with a mean distance of 5.4 km between all dyads in this study (P < 0.0001). The subgroup of HIV-positive people and their contacts was drawn in real space on a map of Colorado Springs and revealed tight clustering of this group in the downtown area. Conclusion: The association of social and geographic distance in an urban group of people at risk for HIV provides demonstration of the importance of geographic clustering in the potential transmission of HIV. The proximity of persons connected within a network, but not necessarily known to each other, suggests that a high probability of partner selection from within the group may be an important factor in maintenance of HIV endemicity.</description><subject>Biological and medical sciences</subject><subject>Cluster Analysis</subject><subject>Cohort Studies</subject><subject>Colorado - epidemiology</subject><subject>Demography</subject><subject>Female</subject><subject>General aspects</subject><subject>Geography</subject><subject>Health risk assessment</subject><subject>HIV</subject><subject>HIV Infections - epidemiology</subject><subject>HIV Infections - etiology</subject><subject>HIV Infections - prevention & control</subject><subject>Human immunodeficiency virus</subject><subject>Human infectious diseases. Experimental studies and models</subject><subject>Human viral diseases</subject><subject>Humans</subject><subject>Infectious diseases</subject><subject>Interviews as Topic</subject><subject>Longitudinal Studies</subject><subject>Male</subject><subject>Medical sciences</subject><subject>Residence Characteristics</subject><subject>Risk-Taking</subject><subject>Sexual Behavior</subject><subject>Sexual Partners</subject><subject>Social Support</subject><subject>Urban areas</subject><subject>Viral diseases</subject><subject>Viral diseases of the lymphoid tissue and the blood. Aids</subject><issn>0148-5717</issn><issn>1537-4521</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2005</creationdate><recordtype>article</recordtype><sourceid>EIF</sourceid><sourceid>7QJ</sourceid><recordid>eNqFkE1rGzEQhkVpaJy0P6FhCTSHwG5npJG0yq3kGwKB9OMqtLK2WXe9a0v2If8-Sm1iyCVzEWKeVzN6GDtGqBCM_g5Yjf2yglyoEA1WyIGryrsPbIJS6JIkx49sAkh1KTXqfXaQ0gxe7oCf2D4qIOSSJuz05-g71xdumBbXYfwb3eKx88VFl1Zu8KHohuLm9k_x0KV_n9le6_oUvmzPQ_b76vLX-U15d399e_7jrvSkzaoUpBptGtmoFkC23JETgZSDOpAJSqEPjdTTGskZ4o2RxistyQtqDcgGxCE72by7iONyHdLKzrvkQ9-7IYzrZFUNmqR5H0SthAZVZ_D4DTgb13HIn7Ccc6Gp1iJDZxvIxzGlGFq7iN3cxSeLYF-8W0Cbvdudd_vfu_Uuh4-2E9bNPEx30a3oDHzbAi5517cx2-3SjtMgcvHMfd1ws7Qa42ufyCgj867PikKSPA</recordid><startdate>20050801</startdate><enddate>20050801</enddate><creator>ROTHENBERG, RICHARD</creator><creator>MUTH, STEPHEN Q.</creator><creator>MALONE, SHAUNA</creator><creator>POTTERAT, JOHN J.</creator><creator>WOODHOUSE, DONALD E.</creator><general>Lippincott Williams & Wilkins</general><general>Lippincott</general><general>Lippincott Williams & Wilkins Ovid Technologies</general><scope>IQODW</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>7QJ</scope><scope>7QL</scope><scope>7T2</scope><scope>7U9</scope><scope>C1K</scope><scope>H94</scope><scope>K9.</scope><scope>M7N</scope><scope>NAPCQ</scope><scope>7X8</scope></search><sort><creationdate>20050801</creationdate><title>Social and Geographic Distance in HIV Risk</title><author>ROTHENBERG, RICHARD ; MUTH, STEPHEN Q. ; MALONE, SHAUNA ; POTTERAT, JOHN J. ; WOODHOUSE, DONALD E.</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c479t-346b79b5b6f005f2a4a3e46a08e49e661ceb57d814a942b959c6754c34f905b03</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2005</creationdate><topic>Biological and medical sciences</topic><topic>Cluster Analysis</topic><topic>Cohort Studies</topic><topic>Colorado - epidemiology</topic><topic>Demography</topic><topic>Female</topic><topic>General aspects</topic><topic>Geography</topic><topic>Health risk assessment</topic><topic>HIV</topic><topic>HIV Infections - epidemiology</topic><topic>HIV Infections - etiology</topic><topic>HIV Infections - prevention & control</topic><topic>Human immunodeficiency virus</topic><topic>Human infectious diseases. Experimental studies and models</topic><topic>Human viral diseases</topic><topic>Humans</topic><topic>Infectious diseases</topic><topic>Interviews as Topic</topic><topic>Longitudinal Studies</topic><topic>Male</topic><topic>Medical sciences</topic><topic>Residence Characteristics</topic><topic>Risk-Taking</topic><topic>Sexual Behavior</topic><topic>Sexual Partners</topic><topic>Social Support</topic><topic>Urban areas</topic><topic>Viral diseases</topic><topic>Viral diseases of the lymphoid tissue and the blood. Aids</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>ROTHENBERG, RICHARD</creatorcontrib><creatorcontrib>MUTH, STEPHEN Q.</creatorcontrib><creatorcontrib>MALONE, SHAUNA</creatorcontrib><creatorcontrib>POTTERAT, JOHN J.</creatorcontrib><creatorcontrib>WOODHOUSE, DONALD E.</creatorcontrib><collection>Pascal-Francis</collection><collection>Medline</collection><collection>MEDLINE</collection><collection>MEDLINE (Ovid)</collection><collection>MEDLINE</collection><collection>MEDLINE</collection><collection>PubMed</collection><collection>CrossRef</collection><collection>Applied Social Sciences Index & Abstracts (ASSIA)</collection><collection>Bacteriology Abstracts (Microbiology B)</collection><collection>Health and Safety Science Abstracts (Full archive)</collection><collection>Virology and AIDS Abstracts</collection><collection>Environmental Sciences and Pollution Management</collection><collection>AIDS and Cancer Research Abstracts</collection><collection>ProQuest Health & Medical Complete (Alumni)</collection><collection>Algology Mycology and Protozoology Abstracts (Microbiology C)</collection><collection>Nursing & Allied Health Premium</collection><collection>MEDLINE - Academic</collection><jtitle>Sexually transmitted diseases</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>ROTHENBERG, RICHARD</au><au>MUTH, STEPHEN Q.</au><au>MALONE, SHAUNA</au><au>POTTERAT, JOHN J.</au><au>WOODHOUSE, DONALD E.</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Social and Geographic Distance in HIV Risk</atitle><jtitle>Sexually transmitted diseases</jtitle><addtitle>Sex Transm Dis</addtitle><date>2005-08-01</date><risdate>2005</risdate><volume>32</volume><issue>8</issue><spage>506</spage><epage>512</epage><pages>506-512</pages><issn>0148-5717</issn><eissn>1537-4521</eissn><coden>STRDDM</coden><abstract>Objective: The objective of this study was to examine the relationship between social distance (measured as the geodesic, or shortest distance, between 2 people in a connected network) and geographic distance (measured as the actual distance between them in kilometers [km]). Study: We used data from a study of 595 persons at risk for HIV and their sexual and drug-using partners (total N = 8920 unique individuals) conducted in Colorado Springs, Colorado, from 1988 to 1992—a longitudinal cohort study that ascertained sociodemographic, clinical, behavioral, and network information about participants. We used place of residence as the geographic marker and calculated distance between people grouped by various characteristics of interest. Results: Fifty-two percent of all dyads were separated by a distance of 4 km or less. The closest pairs were persons who both shared needles and had sexual contact (mean = 3.2 km), and HIV-positive persons and their contacts (mean = 2.9). The most distant pairs were prostitutes and their paying partners (mean = 6.1 km). In a connected subset of 348 respondents, almost half the persons were between 3 and 6 steps from each other in the social network and were separated by a distance of 2 to 8 km. Using block group centroids, the mean distance between all persons in Colorado Springs was 12.4 km compared with a mean distance of 5.4 km between all dyads in this study (P < 0.0001). The subgroup of HIV-positive people and their contacts was drawn in real space on a map of Colorado Springs and revealed tight clustering of this group in the downtown area. Conclusion: The association of social and geographic distance in an urban group of people at risk for HIV provides demonstration of the importance of geographic clustering in the potential transmission of HIV. The proximity of persons connected within a network, but not necessarily known to each other, suggests that a high probability of partner selection from within the group may be an important factor in maintenance of HIV endemicity.</abstract><cop>Hagerstown, MD</cop><pub>Lippincott Williams & Wilkins</pub><pmid>16041254</pmid><doi>10.1097/01.olq.0000161191.12026.ca</doi><tpages>7</tpages><oa>free_for_read</oa></addata></record> |
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subjects | Biological and medical sciences Cluster Analysis Cohort Studies Colorado - epidemiology Demography Female General aspects Geography Health risk assessment HIV HIV Infections - epidemiology HIV Infections - etiology HIV Infections - prevention & control Human immunodeficiency virus Human infectious diseases. Experimental studies and models Human viral diseases Humans Infectious diseases Interviews as Topic Longitudinal Studies Male Medical sciences Residence Characteristics Risk-Taking Sexual Behavior Sexual Partners Social Support Urban areas Viral diseases Viral diseases of the lymphoid tissue and the blood. Aids |
title | Social and Geographic Distance in HIV Risk |
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