Sexual, Social, and Genetic Network Overlap: A Socio-Molecular Approach Toward Public Health Intervention of HIV
To determine how network-level factors influence individual risk of HIV acquisition, which is key in preventing disease transmission. We recruited a cohort of young Black men who have sex with men (n = 618) in Chicago, Illinois, from 2013 to 2016. We identified potential molecular ties via pairwise...
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| Veröffentlicht in: | American journal of public health (1971) 2018-11, Vol.108 (11), p.1528-1534 |
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| creator | Morgan, Ethan Skaathun, Britt Schneider, John A |
| description | To determine how network-level factors influence individual risk of HIV acquisition, which is key in preventing disease transmission.
We recruited a cohort of young Black men who have sex with men (n = 618) in Chicago, Illinois, from 2013 to 2016. We identified potential molecular ties via pairwise genetic distance analysis of HIV pol sequences with links inferred between individuals whose sequences were 1.5% or less genetically distant. We defined clusters as 1 or more connections to another individual. We conducted entity resolution between confidant, sexual, referral, and Facebook network data between network types.
Of 266 (43.0%) participants identified as HIV-positive, we obtained 86 (32.3%) genetic sequences. Of these, 35 (40.7%) were linked to 1 or more other sequence; however, none of these were identified in first-, second-, or third-degree confidant and sexual networks. Minimal overlap existed between genetic and Facebook ties.
These results suggest that HIV transmissions may have occurred before elicitation of network data; future studies should expand the data collection timeframe to more accurately determine risk networks. Virtual network data, such as Facebook, may be particularly useful in developing one's risk environment. |
| doi_str_mv | 10.2105/AJPH.2018.304438 |
| format | Article |
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We recruited a cohort of young Black men who have sex with men (n = 618) in Chicago, Illinois, from 2013 to 2016. We identified potential molecular ties via pairwise genetic distance analysis of HIV pol sequences with links inferred between individuals whose sequences were 1.5% or less genetically distant. We defined clusters as 1 or more connections to another individual. We conducted entity resolution between confidant, sexual, referral, and Facebook network data between network types.
Of 266 (43.0%) participants identified as HIV-positive, we obtained 86 (32.3%) genetic sequences. Of these, 35 (40.7%) were linked to 1 or more other sequence; however, none of these were identified in first-, second-, or third-degree confidant and sexual networks. Minimal overlap existed between genetic and Facebook ties.
These results suggest that HIV transmissions may have occurred before elicitation of network data; future studies should expand the data collection timeframe to more accurately determine risk networks. Virtual network data, such as Facebook, may be particularly useful in developing one's risk environment.</description><identifier>ISSN: 0090-0036</identifier><identifier>EISSN: 1541-0048</identifier><identifier>DOI: 10.2105/AJPH.2018.304438</identifier><identifier>PMID: 30252515</identifier><language>eng</language><publisher>United States: American Public Health Association</publisher><subject>Acquired immune deficiency syndrome ; Adolescent ; Adult ; AIDS ; AJPH Open-Themed Research ; Bias ; Black or African American - statistics & numerical data ; Black people ; Chicago ; Computer networks ; Contact Tracing ; Data collection ; Disease prevention ; Disease transmission ; DNA, Viral - genetics ; Gays & lesbians ; Gene sequencing ; Genetic analysis ; Genetic distance ; Health promotion ; Health risks ; HIV ; HIV Infections - genetics ; HIV Infections - transmission ; HIV Infections - virology ; HIV-1 - genetics ; HIV/AIDS ; Homosexuality, Male - statistics & numerical data ; Human immunodeficiency virus ; Humans ; Infections ; Intervention ; Interviews ; Lesbian/Gay/Bisexual/Transgender Persons ; Longitudinal Studies ; Male ; Men who have sex with men ; Mens health ; Public health ; Public Health Practice ; Referrals ; Risk ; Risk Factors ; Sequence Analysis, DNA ; Sexually transmitted diseases ; Social networks ; Social organization ; Sociodemographics ; STD ; Virtual networks</subject><ispartof>American journal of public health (1971), 2018-11, Vol.108 (11), p.1528-1534</ispartof><rights>Copyright American Public Health Association Nov 2018</rights><rights>American Public Health Association 2018 2018</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c424t-fb98ed1cf6a40ac8942dde3b2bd7aa6fdf4323a23eab487e8be0883892717ce73</citedby><cites>FETCH-LOGICAL-c424t-fb98ed1cf6a40ac8942dde3b2bd7aa6fdf4323a23eab487e8be0883892717ce73</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC6187777/pdf/$$EPDF$$P50$$Gpubmedcentral$$H</linktopdf><linktohtml>$$Uhttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC6187777/$$EHTML$$P50$$Gpubmedcentral$$H</linktohtml><link.rule.ids>230,314,723,776,780,881,27843,27901,27902,53766,53768</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/30252515$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Morgan, Ethan</creatorcontrib><creatorcontrib>Skaathun, Britt</creatorcontrib><creatorcontrib>Schneider, John A</creatorcontrib><title>Sexual, Social, and Genetic Network Overlap: A Socio-Molecular Approach Toward Public Health Intervention of HIV</title><title>American journal of public health (1971)</title><addtitle>Am J Public Health</addtitle><description>To determine how network-level factors influence individual risk of HIV acquisition, which is key in preventing disease transmission.
We recruited a cohort of young Black men who have sex with men (n = 618) in Chicago, Illinois, from 2013 to 2016. We identified potential molecular ties via pairwise genetic distance analysis of HIV pol sequences with links inferred between individuals whose sequences were 1.5% or less genetically distant. We defined clusters as 1 or more connections to another individual. We conducted entity resolution between confidant, sexual, referral, and Facebook network data between network types.
Of 266 (43.0%) participants identified as HIV-positive, we obtained 86 (32.3%) genetic sequences. Of these, 35 (40.7%) were linked to 1 or more other sequence; however, none of these were identified in first-, second-, or third-degree confidant and sexual networks. Minimal overlap existed between genetic and Facebook ties.
These results suggest that HIV transmissions may have occurred before elicitation of network data; future studies should expand the data collection timeframe to more accurately determine risk networks. Virtual network data, such as Facebook, may be particularly useful in developing one's risk environment.</description><subject>Acquired immune deficiency syndrome</subject><subject>Adolescent</subject><subject>Adult</subject><subject>AIDS</subject><subject>AJPH Open-Themed Research</subject><subject>Bias</subject><subject>Black or African American - statistics & numerical data</subject><subject>Black people</subject><subject>Chicago</subject><subject>Computer networks</subject><subject>Contact Tracing</subject><subject>Data collection</subject><subject>Disease prevention</subject><subject>Disease transmission</subject><subject>DNA, Viral - genetics</subject><subject>Gays & lesbians</subject><subject>Gene sequencing</subject><subject>Genetic analysis</subject><subject>Genetic distance</subject><subject>Health promotion</subject><subject>Health risks</subject><subject>HIV</subject><subject>HIV Infections - genetics</subject><subject>HIV Infections - transmission</subject><subject>HIV Infections - virology</subject><subject>HIV-1 - genetics</subject><subject>HIV/AIDS</subject><subject>Homosexuality, Male - statistics & numerical data</subject><subject>Human immunodeficiency virus</subject><subject>Humans</subject><subject>Infections</subject><subject>Intervention</subject><subject>Interviews</subject><subject>Lesbian/Gay/Bisexual/Transgender Persons</subject><subject>Longitudinal Studies</subject><subject>Male</subject><subject>Men who have sex with men</subject><subject>Mens health</subject><subject>Public health</subject><subject>Public Health Practice</subject><subject>Referrals</subject><subject>Risk</subject><subject>Risk Factors</subject><subject>Sequence Analysis, DNA</subject><subject>Sexually transmitted diseases</subject><subject>Social networks</subject><subject>Social organization</subject><subject>Sociodemographics</subject><subject>STD</subject><subject>Virtual networks</subject><issn>0090-0036</issn><issn>1541-0048</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2018</creationdate><recordtype>article</recordtype><sourceid>EIF</sourceid><sourceid>7TQ</sourceid><sourceid>8G5</sourceid><sourceid>BEC</sourceid><sourceid>BENPR</sourceid><sourceid>GUQSH</sourceid><sourceid>M2O</sourceid><recordid>eNpdkc1v1EAMxUcIRJfCnRMaiQsHsng-kkw4VFpV0F1UaKUWriNn4rAps5kwSbbw35OwpQJ8sSX_3pOtx9hzAUspIH2z-nC5XkoQZqlAa2UesIVItUgAtHnIFgAFTLPKjtiTvr8BEKJIxWN2pECmMhXpgnVX9GNE_5pfBdfMHduKn1FLQ-P4JxpuQ_zGL_YUPXZv-eo3FpKPwZMbPUa-6roY0G35dbjFWPHLsfSTck3ohy3ftAPFPbVDE1oear7efHnKHtXoe3p214_Z5_fvrk_XyfnF2eZ0dZ44LfWQ1GVhqBKuzlADOlNoWVWkSllWOWJWV7VWUqFUhKU2OZmSwBhlCpmL3FGujtnJwbcbyx1VbjoiorddbHYYf9qAjf130zZb-zXsbSZMPtVk8OrOIIbvI_WD3TW9I--xpTD2VgohMwFG6Ql9-R96E8bYTu9NlNSgswxmCg6Ui6HvI9X3xwiwc5x2jtPOcdpDnJPkxd9P3Av-5Kd-AevMm6s</recordid><startdate>201811</startdate><enddate>201811</enddate><creator>Morgan, Ethan</creator><creator>Skaathun, 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Social, and Genetic Network Overlap: A Socio-Molecular Approach Toward Public Health Intervention of HIV</title><author>Morgan, Ethan ; Skaathun, Britt ; Schneider, John A</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c424t-fb98ed1cf6a40ac8942dde3b2bd7aa6fdf4323a23eab487e8be0883892717ce73</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2018</creationdate><topic>Acquired immune deficiency syndrome</topic><topic>Adolescent</topic><topic>Adult</topic><topic>AIDS</topic><topic>AJPH Open-Themed Research</topic><topic>Bias</topic><topic>Black or African American - statistics & numerical data</topic><topic>Black people</topic><topic>Chicago</topic><topic>Computer networks</topic><topic>Contact Tracing</topic><topic>Data collection</topic><topic>Disease prevention</topic><topic>Disease transmission</topic><topic>DNA, Viral - genetics</topic><topic>Gays & lesbians</topic><topic>Gene 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organization</topic><topic>Sociodemographics</topic><topic>STD</topic><topic>Virtual networks</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Morgan, Ethan</creatorcontrib><creatorcontrib>Skaathun, Britt</creatorcontrib><creatorcontrib>Schneider, John A</creatorcontrib><collection>Medline</collection><collection>MEDLINE</collection><collection>MEDLINE (Ovid)</collection><collection>MEDLINE</collection><collection>MEDLINE</collection><collection>PubMed</collection><collection>CrossRef</collection><collection>ProQuest Social Sciences Premium Collection</collection><collection>Global News & ABI/Inform Professional</collection><collection>Trade PRO</collection><collection>ProQuest Central (Corporate)</collection><collection>Nursing & Allied Health Database</collection><collection>PAIS Index</collection><collection>ABI/INFORM Collection</collection><collection>ABI/INFORM Global (PDF only)</collection><collection>Health & Medical 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Basic</collection><collection>SIRS Editorial</collection><collection>MEDLINE - Academic</collection><collection>PubMed Central (Full Participant titles)</collection><jtitle>American journal of public health (1971)</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Morgan, Ethan</au><au>Skaathun, Britt</au><au>Schneider, John A</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Sexual, Social, and Genetic Network Overlap: A Socio-Molecular Approach Toward Public Health Intervention of HIV</atitle><jtitle>American journal of public health (1971)</jtitle><addtitle>Am J Public Health</addtitle><date>2018-11</date><risdate>2018</risdate><volume>108</volume><issue>11</issue><spage>1528</spage><epage>1534</epage><pages>1528-1534</pages><issn>0090-0036</issn><eissn>1541-0048</eissn><abstract>To determine how network-level factors influence individual risk of HIV acquisition, which is key in preventing disease transmission.
We recruited a cohort of young Black men who have sex with men (n = 618) in Chicago, Illinois, from 2013 to 2016. We identified potential molecular ties via pairwise genetic distance analysis of HIV pol sequences with links inferred between individuals whose sequences were 1.5% or less genetically distant. We defined clusters as 1 or more connections to another individual. We conducted entity resolution between confidant, sexual, referral, and Facebook network data between network types.
Of 266 (43.0%) participants identified as HIV-positive, we obtained 86 (32.3%) genetic sequences. Of these, 35 (40.7%) were linked to 1 or more other sequence; however, none of these were identified in first-, second-, or third-degree confidant and sexual networks. Minimal overlap existed between genetic and Facebook ties.
These results suggest that HIV transmissions may have occurred before elicitation of network data; future studies should expand the data collection timeframe to more accurately determine risk networks. Virtual network data, such as Facebook, may be particularly useful in developing one's risk environment.</abstract><cop>United States</cop><pub>American Public Health Association</pub><pmid>30252515</pmid><doi>10.2105/AJPH.2018.304438</doi><tpages>7</tpages><oa>free_for_read</oa></addata></record> |
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| source | MEDLINE; Education Source; PAIS Index; Business Source Complete; PubMed Central; Alma/SFX Local Collection |
| subjects | Acquired immune deficiency syndrome Adolescent Adult AIDS AJPH Open-Themed Research Bias Black or African American - statistics & numerical data Black people Chicago Computer networks Contact Tracing Data collection Disease prevention Disease transmission DNA, Viral - genetics Gays & lesbians Gene sequencing Genetic analysis Genetic distance Health promotion Health risks HIV HIV Infections - genetics HIV Infections - transmission HIV Infections - virology HIV-1 - genetics HIV/AIDS Homosexuality, Male - statistics & numerical data Human immunodeficiency virus Humans Infections Intervention Interviews Lesbian/Gay/Bisexual/Transgender Persons Longitudinal Studies Male Men who have sex with men Mens health Public health Public Health Practice Referrals Risk Risk Factors Sequence Analysis, DNA Sexually transmitted diseases Social networks Social organization Sociodemographics STD Virtual networks |
| title | Sexual, Social, and Genetic Network Overlap: A Socio-Molecular Approach Toward Public Health Intervention of HIV |
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