Overlapping Transmission Networks of Early Syphilis and/or Newly HIV Diagnosed Gay, Bisexual and Other Men Who Have Sex with Men (MSM): Opportunities for Optimizing Public Health Interventions

Syphilis and HIV among gay, bisexual and other men who have sex with men (MSM) are syndemic suggesting current prevention strategies are not effective. Sex partner meeting places and their networks may yield effective and optimal interventions. From 2009 to 2017, 57 unique venues were reported by &g...

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Vydané v:AIDS and behavior Ročník 24; číslo 10; s. 2895 - 2905
Hlavní autori: Jennings, Jacky M., Tilchin, Carla, Meza, Benjamin, Schumacher, Christina, Fields, Errol, Latkin, Carl, Rompalo, Anne, Greenbaum, Adena, Ghanem, Khalil G.
Médium: Journal Article
Jazyk:English
Vydavateľské údaje: New York Springer US 01.10.2020
Springer Nature B.V
Predmet:
Bisexuality
Disease transmission
Eigenvectors
Epidemics
Gays & lesbians
Health education
Health promotion
Health Psychology
HIV
HIV Infections - diagnosis
HIV Infections - epidemiology
HIV Infections - transmission
Homosexuality
Homosexuality, Male
Human immunodeficiency virus
Humans
Infectious Diseases
Internet
Intervention
LGBTQ people
Male
Medical diagnosis
Medicine
Medicine & Public Health
Men
Men who have sex with men
Mens health
Network analysis
Networks
Optimization
Original Paper
Prevention
Public Facilities
Public Health
Risk Factors
Segmentation
Sexual and Gender Minorities - psychology
Sexual Behavior
Sexual Partners
Sexually transmitted diseases
Social Environment
Social Networking
STD
Syphilis
Syphilis - diagnosis
Syphilis - epidemiology
Syphilis - transmission
Sex partner meeting places
HIV
MSM
Syphilis
Venue co-affiliation networks
ISSN:1090-7165, 1573-3254, 1573-3254
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Abstract Syphilis and HIV among gay, bisexual and other men who have sex with men (MSM) are syndemic suggesting current prevention strategies are not effective. Sex partner meeting places and their networks may yield effective and optimal interventions. From 2009 to 2017, 57 unique venues were reported by > 1 MSM and 7.0% (n = 4), 21.1% (n = 12) and 71.9% (n = 41) were classified as syphilis, HIV or co-diagnosed venues, respectively. Forty-nine venues were connected in one main network component with four online, co-diagnosis venues representing 51.6% of reports and the highest degree and eigenvector centralities. In a sub-analysis during a local syphilis epidemic, the proportion of venues connected in the main component increased 38.7% (61.5% to 86.4%); suggesting increasing overlap in syphilis and HIV transmission and density of the venue network structure over time. This network analysis may identify the optimal set of venues for tailored interventions. It also suggests increasing difficulty of interrupting network transmission through fragmentation.
AbstractList Syphilis and HIV among gay, bisexual and other men who have sex with men (MSM) are syndemic suggesting current prevention strategies are not effective. Sex partner meeting places and their networks may yield effective and optimal interventions. From 2009 to 2017, 57 unique venues were reported by > 1 MSM and 7.0% (n = 4), 21.1% (n = 12) and 71.9% (n = 41) were classified as syphilis, HIV or co-diagnosed venues, respectively. Forty-nine venues were connected in one main network component with four online, co-diagnosis venues representing 51.6% of reports and the highest degree and eigenvector centralities. In a sub-analysis during a local syphilis epidemic, the proportion of venues connected in the main component increased 38.7% (61.5% to 86.4%); suggesting increasing overlap in syphilis and HIV transmission and density of the venue network structure over time. This network analysis may identify the optimal set of venues for tailored interventions. It also suggests increasing difficulty of interrupting network transmission through fragmentation.
Syphilis and HIV among gay, bisexual and other men who have sex with men (MSM) are syndemic suggesting current prevention strategies are not effective. Sex partner meeting places and their networks may yield effective and optimal interventions. From 2009 to 2017, 57 unique venues were reported by > 1 MSM and 7.0% (n = 4), 21.1% (n = 12) and 71.9% (n = 41) were classified as syphilis, HIV or co-diagnosed venues, respectively. Forty-nine venues were connected in one main network component with four online, co-diagnosis venues representing 51.6% of reports and the highest degree and eigenvector centralities. In a sub-analysis during a local syphilis epidemic, the proportion of venues connected in the main component increased 38.7% (61.5% to 86.4%); suggesting increasing overlap in syphilis and HIV transmission and density of the venue network structure over time. This network analysis may identify the optimal set of venues for tailored interventions. It also suggests increasing difficulty of interrupting network transmission through fragmentation. La sífilis y el VIH entre hombres homosexuales, bisexuales y otros que tienen relaciones sexuales con hombres (HSH) son sindémicos, lo que sugieren que las estrategias de prevención actuales no son efectivas. Los lugares de encuentro de parejas sexuales y sus redes pueden producir intervenciones efectivas y óptimas. De 2009 a 2017, 57 lugares únicos fueron reportados por > 1 HSH y 7.0% (n = 4), 21.1% (n = 12) y 71.9% (n = 41) fueron clasificados como sífilis, VIH o lugares co-diagnosticados, respectivamente. Cuarenta y nueve lugares se conectaron en un componente principal de la red con cuatro lugares de co-diagnóstico en línea, que representan 51.6% de los informes y el más alto grado y centralidades de vector propio. En un subanálisis durante una epidemia de sífilis local, la proporción de lugares conectados en el componente principal aumentó 38.7% (61.5% a 86.4%); lo que sugiere una mayor superposición en la transmisión de sífilis y VIH y la densidad de la estructura de la red de lugares a lo largo del tiempo. Este análisis de red puede identificar el conjunto óptimo de lugares para intervenciones a medida. También sugiere una creciente dificultad para interrumpir la transmisión de la red a través de la fragmentación.
Syphilis and HIV among gay, bisexual and other men who have sex with men (MSM) are syndemic suggesting current prevention strategies are not effective. Sex partner meeting places and their networks may yield effective and optimal interventions. From 2009 to 2017, 57 unique venues were reported by > 1 MSM and 7.0% (n = 4), 21.1% (n = 12) and 71.9% (n = 41) were classified as syphilis, HIV or co-diagnosed venues, respectively. Forty-nine venues were connected in one main network component with four online, co-diagnosis venues representing 51.6% of reports and the highest degree and eigenvector centralities. In a sub-analysis during a local syphilis epidemic, the proportion of venues connected in the main component increased 38.7% (61.5% to 86.4%); suggesting increasing overlap in syphilis and HIV transmission and density of the venue network structure over time. This network analysis may identify the optimal set of venues for tailored interventions. It also suggests increasing difficulty of interrupting network transmission through fragmentation.Syphilis and HIV among gay, bisexual and other men who have sex with men (MSM) are syndemic suggesting current prevention strategies are not effective. Sex partner meeting places and their networks may yield effective and optimal interventions. From 2009 to 2017, 57 unique venues were reported by > 1 MSM and 7.0% (n = 4), 21.1% (n = 12) and 71.9% (n = 41) were classified as syphilis, HIV or co-diagnosed venues, respectively. Forty-nine venues were connected in one main network component with four online, co-diagnosis venues representing 51.6% of reports and the highest degree and eigenvector centralities. In a sub-analysis during a local syphilis epidemic, the proportion of venues connected in the main component increased 38.7% (61.5% to 86.4%); suggesting increasing overlap in syphilis and HIV transmission and density of the venue network structure over time. This network analysis may identify the optimal set of venues for tailored interventions. It also suggests increasing difficulty of interrupting network transmission through fragmentation.
Author Schumacher, Christina
Meza, Benjamin
Rompalo, Anne
Latkin, Carl
Ghanem, Khalil G.
Jennings, Jacky M.
Fields, Errol
Tilchin, Carla
Greenbaum, Adena
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  organization: Center for Child and Community Health Research (CCHR), Department of Pediatrics, Johns Hopkins School of Medicine
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  organization: STI/HIV Program, Baltimore City Health Department
– sequence: 9
  givenname: Khalil G.
  surname: Ghanem
  fullname: Ghanem, Khalil G.
  organization: Department of Infectious Disease, Johns Hopkins School of Medicine
BackLink https://www.ncbi.nlm.nih.gov/pubmed/32239359$$D View this record in MEDLINE/PubMed
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Issue 10
Keywords Sex partner meeting places
HIV
MSM
Syphilis
Venue co-affiliation networks
Language English
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References WoodhouseDRothenbergRPotteratJDarrowWMuthSKlovdahlAMapping a social network of heterosexuals at high risk for HIV infectionAIDS199489133113361:STN:280:DyaK2M7gtFWksA%3D%3D10.1097/00002030-199409000-00018
CookVJSunSJTapiaJMuthSQArgüelloDFLewisBLTransmission network analysis in tuberculosis contact investigationsJ Infect Dis2007196101517152710.1086/523109
PathelaPBraunsteinSLBlankSShepardCSchillingerJAThe high risk of an HIV diagnosis following a diagnosis of syphilis: a population-level analysis of New York City menClin Infect Dis20156122812871:CAS:528:DC%2BC28XhvV2msbzO10.1093/cid/civ289
MichaudJMEllenJJohnsonSMRompaloAResponding to a community outbreak of syphilis by targeting sex partner meeting location: an example of a risk-space interventionSex Transm Dis200330753353810.1097/00007435-200307000-00001
PatelRRLukeDAProctorEKPowderlyWGChanPAMayerKHSex venue-based network analysis to identify HIV prevention dissemination targets for men who have sex with menLGBT Health201851788510.1089/lgbt.2017.0018
FaustKCentrality in affiliation networksSoc Netw199719215719110.1016/S0378-8733(96)00300-0
SchumacherCMFieldsEChandranAHeidariOKingonYChaulkPInvestigation of early syphilis trends among men who have sex with men to identify gaps in screening and case-finding in Baltimore City, MarylandSex Transm Dis2018452697410.1097/OLQ.0000000000000700
KlausnerJDWolfWFischer-PonceLZoltIKatzMHTracing a syphilis outbreak through cyberspaceJAMA200028444474491:STN:280:DC%2BD3czosl2ksg%3D%3D10.1001/jama.284.4.447
Borgatti SP, Halgin DS. Analyzing affiliation networks. In: The SAGE handbook of social network analysis. London: SAGE Publications Ltd; 2014. p. 417–33. https://methods.sagepub.com/book/the-sage-handbook-of-social-network-analysis/n28.xml. Accessed 12 Aug 2019.
Syndemics and the biosocial conception of health. Lancet. https://www.thelancet.com/journals/lancet/article/PIIS0140-6736(17)30003-X/fulltext. Accessed 4 Feb 2020.
FlemingDTWasserheitJNFrom epidemiological synergy to public health policy and practice: the contribution of other sexually transmitted diseases to sexual transmission of HIV infectionSex Transm Infect19997513171:STN:280:DyaK1MznslCntg%3D%3D10.1136/sti.75.1.3
ParranTShadow on the land: syphilis1937New YorkReynal and Hitchcock
Brewer DD, Garrett SB, Rinaldi G. Patterns in the recall of sexual and drug injection partners. In: Levy J, Pescosolido B, editors. Social networks and health. Advances in medical sociology, vol. 8. Emerald Group Publishing Limited; 2002. p. 131–49. https://doi.org/10.1016/S1057-6290(02)80024-9. Accessed 4 Feb 2020.
Centers for Disease Control and Prevention. HIV Surveillance Report 2016, vol 28. Centers for Disease Control and Prevention; 2017. p. 125.
BrewerDDPotteratJJMuthSQMalonePZMontoyaPGreenDLRandomized trial of supplementary interviewing techniques to enhance recall of sexual partners in contact interviews*Sex Transm Dis200532318919310.1097/01.olq.0000154492.98350.90
BuchaczKPatelPTaylorMKerndtPRByersRHHolmbergSDSyphilis increases HIV viral load and decreases CD4 cell counts in HIV-infected patients with new syphilis infectionsAIDS200418152075207910.1097/00002030-200410210-00012
KlovdahlASGravissEAYaganehdoostARossMWWangerAAdamsGJNetworks and tuberculosis: an undetected community outbreak involving public placesSoc Sci Med20015256816941:STN:280:DC%2BD3M7otFSjtg%3D%3D10.1016/S0277-9536(00)00170-2
HurtCBBeagleSLeonePASugarbakerAPikeEKurucJInvestigating a sexual network of black men who have sex with men: implications for transmission and prevention of HIV infection in the United StatesJ Acquir Immune Defic Syndr 1999201261451552110.1097/QAI.0b013e31827076a4
Jackman K-M, Tilchin C, Grieb SM, Clark C, Benton-Denny J, Sawyer S, et al. “We are just a dollar and a number!” Minimizing medical research distrust and stigma among black MSM through more community-informed HIV/STI research approaches, Atlanta, Georgia; 2019.
TilchinCSchumacherCMPsoterKJHumesEMuvvaRChaulkPHuman immunodeficiency virus diagnosis after a syphilis, gonorrhea, or repeat diagnosis among males including non-men who have sex with men: what is the incidence?Sex Transm Dis201946427127710.1097/OLQ.0000000000000964
Centers for Disease Control and Prevention. HIV prevention through early detection and treatment of other sexually transmitted diseases—United States Recommendations of the Advisory Committee for HIV and STD Prevention. 1998. https://www.cdc.gov/mmwr/preview/mmwrhtml/00054174.htm. Accessed 12 Aug 2019.
FujimotoKWilliamsMLRossMWVenue-based affiliation networks and HIV risk-taking behavior among male sex workersSex Transm Dis201340645345810.1097/OLQ.0b013e31829186e5
BrewerDDGarrettSBEvaluation of interviewing techniques to enhance recall of sexual and drug injection partnersSex Transm Dis200128116666771:STN:280:DC%2BD3Mnkt12mtQ%3D%3D10.1097/00007435-200111000-00010
OsterAMWejnertCMenaLAElmoreKFisherHHeffelfingerJDNetwork analysis among HIV-infected young black men who have sex with men demonstrates high connectedness around few venuesSex Transm Dis201340320621210.1097/OLQ.0b013e3182840373
Csardi G, Nepusz T. The Igraph software package for complex network research. InterJournal Complex Syst. 2006:1695. https://igraph.org.
FrostSDWUsing sexual affiliation networks to describe the sexual structure of a populationSex Transm Infect200783Suppl_1i37i4210.1136/sti.2006.023580
FichtenbergCEllenJMoving from core groups to risk spacesSex Transm Dis2003301182582610.1097/01.OLQ.0000097141.29899.7F
BrantleyMSchumacherCFieldsELPerinJSafiAGEllenJMThe network structure of sex partner meeting places reported by HIV-infected MSM: opportunities for HIV targeted controlSoc Sci Med2017182202910.1016/j.socscimed.2017.04.006
BorgattiSPEverettMGJohnsonJCAnalyzing social networks2013LondonSAGE
DaySWardHIsonCBellGWeberJSexual networks: the integration of social and genetic dataSoc Sci Med19984712198119921:STN:280:DyaK1M7ntlGlsQ%3D%3D10.1016/S0277-9536(98)00306-2
Centers for Disease Control and Prevention. STD facts—syphilis (detailed). 2019. https://www.cdc.gov/std/syphilis/stdfact-syphilis-detailed.htm. Accessed 12 Aug 2019.
JarzebowskiWCaumesEDupinNFarhiDLascauxA-SPikettyCEffect of early syphilis infection on plasma viral load and CD4 cell count in human immunodeficiency virus-infected men: results from the FHDH-ANRS CO4 cohortArch Intern Med2012172161237124310.1001/archinternmed.2012.2706
RothenbergRBSterkCToomeyKPotteratJJJohnsonDSchraderMUsing social network and ethnographic tools to evaluate syphilis transmissionSex Transm Dis19982531541601:STN:280:DyaK1c7osFKrsA%3D%3D10.1097/00007435-199803000-00009
Centers for Disease Control and Prevention. 2017 Sexually transmitted disease surveillance. Centers for Disease Control and Prevention; 2018. https://www.cdc.gov/std/stats17/default.htm. Accessed 12 Aug 2019.
DohertyIAPadianNSMarlowCAralSODeterminants and consequences of sexual networks as they affect the spread of sexually transmitted infectionsJ Infect Dis2005191s1S42S5410.1086/425277
ChanPACrowleyCRoseJSKershawTTributinoAMontgomeryMCA network analysis of sexually transmitted diseases and online hookup sites among men who have sex with menSex Transm Dis201845746246810.1097/OLQ.0000000000000784
RothenbergRNarramoreJCommentary: the relevance of social network concepts to sexually transmitted disease controlSex Transm Dis199623124291:STN:280:DyaK283ntFKiug%3D%3D10.1097/00007435-199601000-00007
JenningsJMReillyMLPerinJSchumacherCSharmaMSafiAGSex partner meeting places over time among newly HIV diagnosed men who have sex with men (MSM) in Baltimore, MarylandSex Transm Dis2015421054955310.1097/OLQ.0000000000000337
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RB Rothenberg (2840_CR16) 1998; 25
P Pathela (2840_CR7) 2015; 61
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JM Jennings (2840_CR34) 2015; 42
RR Patel (2840_CR24) 2018; 5
W Jarzebowski (2840_CR4) 2012; 172
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References_xml – reference: RothenbergRBSterkCToomeyKPotteratJJJohnsonDSchraderMUsing social network and ethnographic tools to evaluate syphilis transmissionSex Transm Dis19982531541601:STN:280:DyaK1c7osFKrsA%3D%3D10.1097/00007435-199803000-00009
– reference: BrewerDDPotteratJJMuthSQMalonePZMontoyaPGreenDLRandomized trial of supplementary interviewing techniques to enhance recall of sexual partners in contact interviews*Sex Transm Dis200532318919310.1097/01.olq.0000154492.98350.90
– reference: JarzebowskiWCaumesEDupinNFarhiDLascauxA-SPikettyCEffect of early syphilis infection on plasma viral load and CD4 cell count in human immunodeficiency virus-infected men: results from the FHDH-ANRS CO4 cohortArch Intern Med2012172161237124310.1001/archinternmed.2012.2706
– reference: Brewer DD, Garrett SB, Rinaldi G. Patterns in the recall of sexual and drug injection partners. In: Levy J, Pescosolido B, editors. Social networks and health. Advances in medical sociology, vol. 8. Emerald Group Publishing Limited; 2002. p. 131–49. https://doi.org/10.1016/S1057-6290(02)80024-9. Accessed 4 Feb 2020.
– reference: TilchinCSchumacherCMPsoterKJHumesEMuvvaRChaulkPHuman immunodeficiency virus diagnosis after a syphilis, gonorrhea, or repeat diagnosis among males including non-men who have sex with men: what is the incidence?Sex Transm Dis201946427127710.1097/OLQ.0000000000000964
– reference: DaySWardHIsonCBellGWeberJSexual networks: the integration of social and genetic dataSoc Sci Med19984712198119921:STN:280:DyaK1M7ntlGlsQ%3D%3D10.1016/S0277-9536(98)00306-2
– reference: WoodhouseDRothenbergRPotteratJDarrowWMuthSKlovdahlAMapping a social network of heterosexuals at high risk for HIV infectionAIDS199489133113361:STN:280:DyaK2M7gtFWksA%3D%3D10.1097/00002030-199409000-00018
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– reference: Centers for Disease Control and Prevention. STD facts—syphilis (detailed). 2019. https://www.cdc.gov/std/syphilis/stdfact-syphilis-detailed.htm. Accessed 12 Aug 2019.
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– reference: PatelRRLukeDAProctorEKPowderlyWGChanPAMayerKHSex venue-based network analysis to identify HIV prevention dissemination targets for men who have sex with menLGBT Health201851788510.1089/lgbt.2017.0018
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– reference: ChanPACrowleyCRoseJSKershawTTributinoAMontgomeryMCA network analysis of sexually transmitted diseases and online hookup sites among men who have sex with menSex Transm Dis201845746246810.1097/OLQ.0000000000000784
– reference: FichtenbergCEllenJMoving from core groups to risk spacesSex Transm Dis2003301182582610.1097/01.OLQ.0000097141.29899.7F
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– reference: Centers for Disease Control and Prevention. 2017 Sexually transmitted disease surveillance. Centers for Disease Control and Prevention; 2018. https://www.cdc.gov/std/stats17/default.htm. Accessed 12 Aug 2019.
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– reference: FaustKCentrality in affiliation networksSoc Netw199719215719110.1016/S0378-8733(96)00300-0
– reference: Jackman K-M, Tilchin C, Grieb SM, Clark C, Benton-Denny J, Sawyer S, et al. “We are just a dollar and a number!” Minimizing medical research distrust and stigma among black MSM through more community-informed HIV/STI research approaches, Atlanta, Georgia; 2019.
– reference: JenningsJMReillyMLPerinJSchumacherCSharmaMSafiAGSex partner meeting places over time among newly HIV diagnosed men who have sex with men (MSM) in Baltimore, MarylandSex Transm Dis2015421054955310.1097/OLQ.0000000000000337
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– reference: BorgattiSPEverettMGJohnsonJCAnalyzing social networks2013LondonSAGE
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– reference: MichaudJMEllenJJohnsonSMRompaloAResponding to a community outbreak of syphilis by targeting sex partner meeting location: an example of a risk-space interventionSex Transm Dis200330753353810.1097/00007435-200307000-00001
– reference: KlovdahlASGravissEAYaganehdoostARossMWWangerAAdamsGJNetworks and tuberculosis: an undetected community outbreak involving public placesSoc Sci Med20015256816941:STN:280:DC%2BD3M7otFSjtg%3D%3D10.1016/S0277-9536(00)00170-2
– reference: CookVJSunSJTapiaJMuthSQArgüelloDFLewisBLTransmission network analysis in tuberculosis contact investigationsJ Infect Dis2007196101517152710.1086/523109
– reference: RothenbergRNarramoreJCommentary: the relevance of social network concepts to sexually transmitted disease controlSex Transm Dis199623124291:STN:280:DyaK283ntFKiug%3D%3D10.1097/00007435-199601000-00007
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Snippet Syphilis and HIV among gay, bisexual and other men who have sex with men (MSM) are syndemic suggesting current prevention strategies are not effective. Sex...
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StartPage 2895
SubjectTerms Bisexuality
Disease transmission
Eigenvectors
Epidemics
Gays & lesbians
Health education
Health promotion
Health Psychology
HIV
HIV Infections - diagnosis
HIV Infections - epidemiology
HIV Infections - transmission
Homosexuality
Homosexuality, Male
Human immunodeficiency virus
Humans
Infectious Diseases
Internet
Intervention
LGBTQ people
Male
Medical diagnosis
Medicine
Medicine & Public Health
Men
Men who have sex with men
Mens health
Network analysis
Networks
Optimization
Original Paper
Prevention
Public Facilities
Public Health
Risk Factors
Segmentation
Sexual and Gender Minorities - psychology
Sexual Behavior
Sexual Partners
Sexually transmitted diseases
Social Environment
Social Networking
STD
Syphilis
Syphilis - diagnosis
Syphilis - epidemiology
Syphilis - transmission
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Title Overlapping Transmission Networks of Early Syphilis and/or Newly HIV Diagnosed Gay, Bisexual and Other Men Who Have Sex with Men (MSM): Opportunities for Optimizing Public Health Interventions
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