Men who have sex with men and women: a unique risk group for HIV transmission on North Carolina College campuses.
ABSTRACT To better understand the role that men who have sex with men and women (MSM/W) play in the spread of HIV in young adults in North Carolina, we determined the prevalence of MSM/W among newly diagnosed HIV-infected men, compared social and behavioral characteristics of this group with MSM and MSW, and examined the sexual networks associated with HIV-infected college students among these groups.
We reviewed state HIV surveillance records for all new diagnoses of HIV in males 18 to 30 years living in North Carolina between January 1, 2000, and December 31, 2004.
Of 1,105 records available for review, 15% were MSM/W and 13% were college students. Compared with MSM, MSM/W were more likely to be enrolled in college, to report >10 sex partners in the year before diagnosis, or have sex partners who were also MSM/W. Sexual network analysis of the HIV-infected college students revealed that MSM/W occupied a central position. Of 20 individuals who described themselves as either MSW or abstinent at the time of their initial voluntary counseling and testing visit, 80% reported that they were either MSM or MSM/W during follow up.
MSM/W represent a unique risk group within the population of MSM that deserve further investigation. College MSM/W appear to occupy a unique, central place in the network of HIV-infected students.
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ABSTRACT: There are many evidences to show that different pathogens may interplay each other and cause a variety of mutual influences of epidemics in multiplex networks, but it is still lack of a framework to unify all the different dynamic outcomes of the interactions between the pathogens. We here study this problem and first time present the concept of state-dependent infectious rate, in contrast to the constant infectious rate in previous studies. We consider a model consisting of a two-layered network with one pathogen on the first layer and the other on the second layer, and show that all the different influences between the two pathogens can be given by the different range of parameters in the infectious rates, which includes the cases of mutual enhancement, mutual suppression, and even initial cooperation (suppression) induced final suppression (acceleration). A theoretical analysis is present to explain the numerical results.Chaos (Woodbury, N.Y.) 12/2014; 24(4):043129. DOI:10.1063/1.4902254 · 1.76 Impact Factor
Dataset: HIV-BV (HBCU-TWI) AIDS Care 2009
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ABSTRACT: Background Behavioral interventions (BIs) remained the cornerstone of HIV prevention in resource-limited settings. One of the major concerns for such efforts is the loss-to-follow-up (LTFU) that threatens almost every HIV control program involving high-risk population groups. Methods To evaluate the factors associated with LTFU during BIs and HIV testing among men who have sex with men (MSM), 410 HIV sero-negatives MSM were recruited using respondent driven sampling (RDS) in Nanjing, China during 2008, they were further followed for 18 months. At baseline and each follow-up visits, each participant was counseled about various HIV risk-reductions BIs at a designated sexually transmitted infection (STI) clinic. Results Among 410 participants recruited at baseline, altogether 221 (53.9%) were LTFU at the 18-month follow-up visit. Overall, 46 participants were found to be positive for syphilis infection at baseline while 13 participants were HIV sero-converted during the follow-up period. Increasing age was less (Adjusted Odds Ratio(aOR) of 0.90, 95% confidence Interval (CI) 0.86–0.94) and official residency of provinces other than Nanjing (AOR of 2.49, 95%CI 1.32–4.71), lower level of education (AOR of 2.01, 95%CI 1.10–3.66) and small social network size (AOR of 1.75, 95%CI 1.09–2.80) were more likely to be associated with higher odds of LTFU. Conclusion To improve retention in the programs for HIV control, counseling and testing among MSM in Nanjing, focused intensified intervention targeting those who were more likely to be LTFU, especially the young, less educated, unofficial residents of Nanjing who had smaller social network size, might be helpful.PLoS ONE 01/2015; 10(1). DOI:10.1371/journal.pone.0115691 · 3.53 Impact Factor