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Labarile M, Loosli T, Zeeb M, Kusejko K, Huber M, Hirsch HH, Perreau M, Ramette A, Yerly S, Cavassini M, Battegay M, Rauch A, Calmy A, Notter J, Bernasconi E, Fux C, Günthard HF, Pasin C, Kouyos RD, Aebi-Popp K, Anagnostopoulos A, Battegay M, Bernasconi E, Braun DL, Bucher HC, Calmy A, Cavassini M, Ciuffi A, Dollenmaier G, Egger M, Elzi L, Fehr J, Fellay J, Furrer H, Fux CA, Günthard HF, Hachfeld A, Haerry D, Hasse B, Hirsch HH, Hoffmann M, Hösli I, Huber M, Kahlert CR, Kaiser L, Keiser O, Klimkait T, Kouyos RD, Kovari H, Kusejko K, Martinetti G, Martinez de Tejada B, Marzolini C, Metzner KJ, Müller N, Nemeth J, Nicca D, Paioni P, Pantaleo G, Perreau M, Rauch A, Schmid P, Speck R, Stöckle M, Tarr P, Trkola A, Wandeler G, Yerly S. Quantifying and Predicting Ongoing Human Immunodeficiency Virus Type 1 Transmission Dynamics in Switzerland Using a Distance-Based Clustering Approach. J Infect Dis 2023; 227:554-564. [PMID: 36433831 DOI: 10.1093/infdis/jiac457] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/03/2022] [Revised: 11/11/2022] [Accepted: 11/25/2022] [Indexed: 11/27/2022] Open
Abstract
BACKGROUND Despite effective prevention approaches, ongoing human immunodeficiency virus 1 (HIV-1) transmission remains a public health concern indicating a need for identifying its drivers. METHODS We combined a network-based clustering method using evolutionary distances between viral sequences with statistical learning approaches to investigate the dynamics of HIV transmission in the Swiss HIV Cohort Study and to predict the drivers of ongoing transmission. RESULTS We found that only a minority of clusters and patients acquired links to new infections between 2007 and 2020. While the growth of clusters and the probability of individual patients acquiring new links in the transmission network was associated with epidemiological, behavioral, and virological predictors, the strength of these associations decreased substantially when adjusting for network characteristics. Thus, these network characteristics can capture major heterogeneities beyond classical epidemiological parameters. When modeling the probability of a newly diagnosed patient being linked with future infections, we found that the best predictive performance (median area under the curve receiver operating characteristic AUCROC = 0.77) was achieved by models including characteristics of the network as predictors and that models excluding them performed substantially worse (median AUCROC = 0.54). CONCLUSIONS These results highlight the utility of molecular epidemiology-based network approaches for analyzing and predicting ongoing HIV transmission dynamics. This approach may serve for real-time prospective assessment of HIV transmission.
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Affiliation(s)
- Marco Labarile
- Division of Infectious Diseases and Hospital Epidemiology, University Hospital Zurich, Zurich, Switzerland.,Institute of Medical Virology, University of Zurich, Zurich, Switzerland
| | - Tom Loosli
- Division of Infectious Diseases and Hospital Epidemiology, University Hospital Zurich, Zurich, Switzerland.,Institute of Medical Virology, University of Zurich, Zurich, Switzerland
| | - Marius Zeeb
- Division of Infectious Diseases and Hospital Epidemiology, University Hospital Zurich, Zurich, Switzerland.,Institute of Medical Virology, University of Zurich, Zurich, Switzerland
| | - Katharina Kusejko
- Division of Infectious Diseases and Hospital Epidemiology, University Hospital Zurich, Zurich, Switzerland.,Institute of Medical Virology, University of Zurich, Zurich, Switzerland
| | - Michael Huber
- Institute of Medical Virology, University of Zurich, Zurich, Switzerland
| | - Hans H Hirsch
- Division of Infectious Diseases and Hospital Epidemiology, University Hospital Basel, University of Basel, Basel, Switzerland.,Transplantation and Clinical Virology, Department of Biomedicine, University of Basel, Basel, Switzerland
| | - Matthieu Perreau
- Division of Immunology and Allergy, Lausanne University Hospital, University of Lausanne, Lausanne, Switzerland
| | - Alban Ramette
- Institute for Infectious Diseases, University of Bern, Bern, Switzerland
| | - Sabine Yerly
- Laboratory of Virology and Division of Infectious Diseases, Geneva University Hospital, University of Geneva, Geneva, Switzerland
| | - Matthias Cavassini
- Division of Infectious Diseases, Lausanne University Hospital, Lausanne, Switzerland
| | - Manuel Battegay
- Transplantation and Clinical Virology, Department of Biomedicine, University of Basel, Basel, Switzerland
| | - Andri Rauch
- Department of Infectious Diseases, Bern University Hospital, University of Bern, Bern, Switzerland
| | - Alexandra Calmy
- Laboratory of Virology and Division of Infectious Diseases, Geneva University Hospital, University of Geneva, Geneva, Switzerland
| | - Julia Notter
- Division of Infectious Diseases, Cantonal Hospital St Gallen, St Gallen, Switzerland
| | - Enos Bernasconi
- Division of Infectious Diseases, Regional Hospital Lugano, Lugano, Switzerland
| | - Christoph Fux
- Department of Infectious Diseases, Kantonsspital Aarau, Aarau, Switzerland
| | - Huldrych F Günthard
- Division of Infectious Diseases and Hospital Epidemiology, University Hospital Zurich, Zurich, Switzerland.,Institute of Medical Virology, University of Zurich, Zurich, Switzerland
| | - Chloé Pasin
- Division of Infectious Diseases and Hospital Epidemiology, University Hospital Zurich, Zurich, Switzerland.,Institute of Medical Virology, University of Zurich, Zurich, Switzerland
| | - Roger D Kouyos
- Division of Infectious Diseases and Hospital Epidemiology, University Hospital Zurich, Zurich, Switzerland.,Institute of Medical Virology, University of Zurich, Zurich, Switzerland
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Hamilton DT, Katz DA, Luo W, Stekler JD, Rosenberg ES, Sullivan PS, Goodreau SM, Cassels S. Effective strategies to promote HIV self-testing for men who have sex with men: Evidence from a mathematical model. Epidemics 2021; 37:100518. [PMID: 34775299 PMCID: PMC8759720 DOI: 10.1016/j.epidem.2021.100518] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/31/2020] [Revised: 05/11/2021] [Accepted: 10/24/2021] [Indexed: 01/06/2023] Open
Abstract
BACKGROUND HIV testing is the gateway to HIV treatment and prevention. HIV self-testing (HIVST) has potential to increase testing; however, the potential population-level impact of HIVST on the HIV epidemic and the best strategies for promoting HIVST are unknown. Our aim is to inform public health approaches for promoting HIVST as part of a comprehensive strategy to reduce HIV incidence. METHODS Stochastic network-based HIV transmission models were used to estimate how different HIVST strategies would affect HIV incidence in Seattle and Atlanta over 10 years. We included four types of HIV testers and implemented nine replacement and eleven supplementation strategies for HIVST. RESULTS Replacement of clinic-based tests with HIVST increased HIV incidence in Seattle and Atlanta. The benefits of supplementary strategies depended on the tester type using HIVST. Targeting non-testers averted the highest number of cases per test. In Seattle 2.2 (95%SI=-77, 100.4) and 4.7 (95%SI=-35.7, 60.1) infections were averted per 1000 HIVST when non-testers used HIVST once or twice per year respectively. In Atlanta the comparable rates were 8.0 (95%SI=-60.3 to 77.7) and 6.7 (95%SI=-37.7, 41.0). Paradoxically, increasing testing among risk-based testers using HIVST increased incidence. CONCLUSIONS The population-level impact of HIVST depends on who is reached with HIVST, how kits are used, and by characteristics of the underlying epidemic and HIV care infrastructure. Targeted HIVST can be an effective component of a comprehensive HIV testing strategy. More work is needed to understand how to identify and target non-testers for self-testing implementation.
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Affiliation(s)
- Deven T Hamilton
- Center for Studies in Demography and Ecology, University of Washington, 206 Raitt Hall, Box 353412, Seattle, WA, United States.
| | - David A Katz
- Department of Global Health, University of Washington, Seattle, WA, United States
| | - Wei Luo
- Department of Geography, National University of Singapore, Singapore, Singapore
| | - Joanne D Stekler
- Department of Global Health, University of Washington, Seattle, WA, United States; Department of Medicine, University of Washington, Seattle, WA, United States; Department of Epidemiology, University of Washington, Seattle, WA, United States
| | - Eli S Rosenberg
- Department of Epidemiology and Biostatistics, School of Public Health, University at Albany, State University of New York, Albany, NY, United States
| | - Patrick S Sullivan
- Department of Epidemiology, Emory University, Atlanta, GA, UUnited States; Department of Global Health, Emory University, Atlanta, GA, UUnited States
| | - Steven M Goodreau
- Center for Studies in Demography and Ecology, University of Washington, 206 Raitt Hall, Box 353412, Seattle, WA, United States; Department of Anthropology, University of Washington, Seattle, WA, United States
| | - Susan Cassels
- Department of Geography, National University of Singapore, Singapore, Singapore
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Parchure R, Darak S, Jori V, Hegde A, Puri AK, Kulkarni V, Gangakhedkar R. Increasing sero-discordancy among young HIV infected pregnant women from India: a likely pointer of changing transmission dynamics. AIDS Care 2019; 31:1518-1526. [PMID: 30913903 DOI: 10.1080/09540121.2019.1597961] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/27/2022]
Abstract
The flat-lining of HIV incidence in India has raised concerns about the presence of emerging risk groups. As HIV prevalence among pregnant women is reflective of the situation in general population, its closer scrutiny provides valuable insights about the evolving epidemic. The present study assesses temporal trends of sero-discordance (where woman is HIV infected and husband is uninfected), among pregnant women living with HIV (pWLHIV) from India. Data of program for prevention of parent to child transmission of HIV was analyzed. Statistical analysis was done using Cochrane-Armitage trend test and logistic regression. Of the 1209 currently married pWLHIV, 302 (25%) were sero-discordant. The proportion increased from 16% in 2007 to 36% in 2016-17 (p = 0.000). The likelihood of sero-discordance was higher for women aged 18-20 (OR: 2.68, CI: 1.30-5.83) and 21-23 (OR: 1.98, CI: 1.01-4.15) years compared to 36-40 years; and for primi-parous women (OR: 1.84, CI: 1.31-2.58) compared to women pregnant for second/third time. The findings are indicative of changing HIV transmission dynamics. Steeper rise in sero-discordance in younger women implies an increasing risk of HIV in unmarried women population. A better understanding of HIV specific vulnerabilities of young women, married and unmarried, is warranted.
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Affiliation(s)
| | | | | | - Asha Hegde
- National AIDS Control Organization (NACO) , New Delhi , India
| | - Anoop Kumar Puri
- Basic Service Division, National AIDS Control Organization (NACO) , New Delhi , India
| | | | - Raman Gangakhedkar
- Division of Epidemiology & Communicable Diseases, Indian Council of Medical Research , New Delhi , India
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