Dataset Information

Leveraging Phylogenetics to Understand HIV Transmission and Partner Notification Networks.

ABSTRACT: BACKGROUND:Partner notification is an important component of public health test and treat interventions. To enhance this essential function, we assessed the potential for molecular methods to supplement routine partner notification and corroborate HIV networks. METHODS:All persons diagnosed with HIV infection in Wake County, NC, during 2012-2013 and their disclosed sexual partners were included in a sexual network. A data set containing HIV-1 pol sequences collected in NC during 1997-2014 from 15,246 persons was matched to HIV-positive persons in the network and used to identify putative transmission clusters. Both networks were compared. RESULTS:The partner notification network comprised 280 index cases and 383 sexual partners and high-risk social contacts (n = 131 HIV-positive). Of the 411 HIV-positive persons in the partner notification network, 181 (44%) did not match to a HIV sequence, 61 (15%) had sequences but were not identified in a transmission cluster, and 169 (41%) were identified in a transmission cluster. More than half (59%) of transmission clusters bridged sexual network partnerships that were not recognized in the partner notification; most of these clusters were dominated by men who have sex with men. CONCLUSIONS:Partner notification and HIV sequence analysis provide complementary representations of the existent partnerships underlying the HIV transmission network. The partner notification network components were bridged by transmission clusters, particularly among components dominated by men who have sex with men. Supplementing the partner notification network with phylogenetic data highlighted avenues for intervention.

SUBMITTER: Pasquale DK

PROVIDER: S-EPMC6058319 | biostudies-literature | 2018 Aug

REPOSITORIES: biostudies-literature

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Leveraging Phylogenetics to Understand HIV Transmission and Partner Notification Networks.

Pasquale Dana K DK Doherty Irene A IA Sampson Lynne A LA Hué Stephane S Leone Peter A PA Sebastian Joseph J Ledford Sue L SL Eron Joseph J JJ Miller William C WC Dennis Ann M AM

Journal of acquired immune deficiency syndromes (1999) 20180801 4

<h4>Background</h4>Partner notification is an important component of public health test and treat interventions. To enhance this essential function, we assessed the potential for molecular methods to supplement routine partner notification and corroborate HIV networks.<h4>Methods</h4>All persons diagnosed with HIV infection in Wake County, NC, during 2012-2013 and their disclosed sexual partners were included in a sexual network. A data set containing HIV-1 pol sequences collected in NC during 1 ...[more]

PMID: 29940601

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Project description:BACKGROUND:Partner notification is an essential component of sexually transmitted infection (STI) management. The process involves identifying exposed sex partner(s), notifying these partner(s) about their exposure to a curable STI, and offering counselling and treatment for the STI as a part of syndromic management or after results from an STI test. When implemented effectively, partner notification services can prevent the index patient from being reinfected with a curable STI from an untreated partner, reduce the community burden of curable STIs, and prevent adverse health outcomes in both the index patient and his or her sex partner(s). However, partner notification and treatment rates are often low. This study seeks to explore experiences and preferences related to partner notification and treatment for curable STIs among pregnant women receiving care in an antenatal clinic with integrated HIV and curable STI testing. Results are intended to inform efforts to improve partner notification and treatment rates in Southern Africa. METHODS:We conducted qualitative interviews among women diagnosed with Chlamydia trachomatis (CT), Neisseria gonorrhoeae (NG), and/or Trichomonas vaginalis (TV) infection while seeking antenatal care in Gaborone, Botswana. Semi-structured interviews were used to obtain women's knowledge about STIs and their experiences and preferences regarding partner notification. RESULTS:Fifteen women agreed to participate in the study. The majority of women had never heard of CT, NG, or TV infections prior to testing. Thirteen out of 15 participants had notified partners about the STI diagnosis. The majority of notified partners received some treatment; however, partner treatment was often delayed. Most women expressed a preference for accompanying partners to the clinic for treatment. Experiences and preferences did not differ by HIV infection status. CONCLUSIONS:The integration of STI, HIV, and antenatal care services may have contributed to most women's willingness to notify partners. However, logistical barriers to partner treatment remained. More research is needed to identify effective and appropriate strategies for scaling-up partner notification services in order to improve rates of partners successfully contacted and treated, reduce rates of STI reinfection during pregnancy, and ultimately reduce adverse maternal and infant outcomes attributable to antenatal STIs.

Project description:Many epidemic models approximate social contact behavior by assuming random mixing within mixing groups (e.g., homes, schools, and workplaces). The effect of more realistic social network structure on estimates of epidemic parameters is an open area of exploration. We develop a detailed statistical model to estimate the social contact network within a high school using friendship network data and a survey of contact behavior. Our contact network model includes classroom structure, longer durations of contacts to friends than non-friends and more frequent contacts with friends, based on reports in the contact survey. We performed simulation studies to explore which network structures are relevant to influenza transmission. These studies yield two key findings. First, we found that the friendship network structure important to the transmission process can be adequately represented by a dyad-independent exponential random graph model (ERGM). This means that individual-level sampled data is sufficient to characterize the entire friendship network. Second, we found that contact behavior was adequately represented by a static rather than dynamic contact network. We then compare a targeted antiviral prophylaxis intervention strategy and a grade closure intervention strategy under random mixing and network-based mixing. We find that random mixing overestimates the effect of targeted antiviral prophylaxis on the probability of an epidemic when the probability of transmission in 10 minutes of contact is less than 0.004 and underestimates it when this transmission probability is greater than 0.004. We found the same pattern for the final size of an epidemic, with a threshold transmission probability of 0.005. We also find random mixing overestimates the effect of a grade closure intervention on the probability of an epidemic and final size for all transmission probabilities. Our findings have implications for policy recommendations based on models assuming random mixing, and can inform further development of network-based models.

Project description:IntroductionIn 2007, the Cameroon Baptist Convention Health Services (CBCHS) initiated an assisted partner notification services (aPNS) public health programme to increase HIV case identification and reduce HIV incidence in the most affected regions of Cameroon. We describe large-scale implementation of aPNS and overall programmatic achievements in a resource-limited setting through 2015.MethodsCBCHS trained health advisors (HAs) from 16 CBCHS facilities and 22 non-CBCHS facilities to integrate aPNS into their existing jobs in five of the ten Cameroon regions. HAs recorded basic demographic, clinical and risk factor information from consenting index persons (IPs) and similar information about their sexual partners'/contact persons (CPs) on interview records and aPNS registers. These data were entered into an Epi-Info database. HAs provided pre-test counselling to CPs and offered them HIV testing in their home or other location. HAs educated IPs and CPs on HIV prevention and risk reduction, and referred IPs and HIV positive CPs to HIV care and treatment centres. Starting in 2014, HAs re-interviewed IPs 30 days after their initial aPNS interview to ascertain instances of social harms following partner notification. Continuous predictor and outcome variables were summarized using median and interquartile range, while categorical variables were summarized using percentages from 2007 to 2015.ResultsA total of 18,730 IPs (71% women) received aPNS over nine years. IPs identified 21,057 CPs (67% men) (mean CP/IP 1.12), of whom 12,867 (61.1%) were notified of their exposure to HIV. A total of 9202 (71.5% of notified CPs) tested for HIV, 4764 (51.8%) of whom tested HIV positive (number of IPs needed to interview = 3.9); 3112 (65.3%) HIV-positive partners were referred to HIV care and treatment centres. Of the 976 IPs receiving aPNS in 2014 to 2015, for whom follow-up data were available, 11 (1.1%) reported physical intimate partner violence from CPs. Thus, 44.3% of 1224 CPs were notified through provider referral. Of the 784 CPs who tested for HIV, 157 were newly diagnosed and the overall HIV prevalence was 41.6% (326/784).ConclusionsaPNS is feasible, can be brought to scale, yields a high level of case identification, and is infrequently associated with social harms and intimate partner violence.

Dataset Information

Leveraging Phylogenetics to Understand HIV Transmission and Partner Notification Networks.

Publications

Leveraging Phylogenetics to Understand HIV Transmission and Partner Notification Networks.

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