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      Validation of the Modes of Transmission Model as a Tool to Prioritize HIV Prevention Targets: A Comparative Modelling Analysis

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          Abstract

          Background

          The static Modes of Transmission (MOT) model predicts the annual fraction of new HIV infections acquired across subgroups (MOT metric), and is used to focus HIV prevention. Using synthetic epidemics via a dynamical model, we assessed the validity of the MOT metric for identifying epidemic drivers (behaviours or subgroups that are sufficient and necessary for HIV to establish and persist), and the potential consequence of MOT-guided policies.

          Methods and Findings

          To generate benchmark MOT metrics for comparison, we simulated three synthetic epidemics (concentrated, mixed, and generalized) with different epidemic drivers using a dynamical model of heterosexual HIV transmission. MOT metrics from generic and complex MOT models were compared against the benchmark, and to the contribution of epidemic drivers to overall HIV transmission (cumulative population attributable fraction over t years, PAF t). The complex MOT metric was similar to the benchmark, but the generic MOT underestimated the fraction of infections in epidemic drivers. The benchmark MOT metric identified epidemic drivers early in the epidemics. Over time, the MOT metric did not identify epidemic drivers. This was not due to simplified MOT models or biased parameters but occurred because the MOT metric (irrespective of the model used to generate it) underestimates the contribution of epidemic drivers to HIV transmission over time (PAF 5–30). MOT-directed policies that fail to reach epidemic drivers could undermine long-term impact on HIV incidence, and achieve a similar impact as random allocation of additional resources.

          Conclusions

          Irrespective of how it is obtained, the MOT metric is not a valid stand-alone tool to identify epidemic drivers, and has limited additional value in guiding the prioritization of HIV prevention targets. Policy-makers should use the MOT model judiciously, in combination with other approaches, to identify epidemic drivers.

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          Most cited references26

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          Towards an improved investment approach for an effective response to HIV/AIDS.

          Substantial changes are needed to achieve a more targeted and strategic approach to investment in the response to the HIV/AIDS epidemic that will yield long-term dividends. Until now, advocacy for resources has been done on the basis of a commodity approach that encouraged scaling up of numerous strategies in parallel, irrespective of their relative effects. We propose a strategic investment framework that is intended to support better management of national and international HIV/AIDS responses than exists with the present system. Our framework incorporates major efficiency gains through community mobilisation, synergies between programme elements, and benefits of the extension of antiretroviral therapy for prevention of HIV transmission. It proposes three categories of investment, consisting of six basic programmatic activities, interventions that create an enabling environment to achieve maximum effectiveness, and programmatic efforts in other health and development sectors related to HIV/AIDS. The yearly cost of achievement of universal access to HIV prevention, treatment, care, and support by 2015 is estimated at no less than US$22 billion. Implementation of the new investment framework would avert 12·2 million new HIV infections and 7·4 million deaths from AIDS between 2011 and 2020 compared with continuation of present approaches, and result in 29·4 million life-years gained. The framework is cost effective at $1060 per life-year gained, and the additional investment proposed would be largely offset from savings in treatment costs alone. Copyright © 2011 Elsevier Ltd. All rights reserved.
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            "Know your epidemic, know your response": a useful approach, if we get it right.

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              HIV and other sexually transmitted infections in a cohort of women involved in high-risk sexual behavior in Kampala, Uganda.

              Uganda has long been successful in controlling the HIV epidemic; however, there is evidence that HIV prevalence and incidence are increasing again. Data on the HIV/STI epidemic among sex workers are so far lacking from Uganda. This paper describes the baseline epidemiology of HIV/STI in a newly established cohort of women involved in high-risk sexual behavior in Kampala, Uganda. Women were recruited from red-light areas in Kampala. Between April 2008 and May 2009, 1027 eligible women were enrolled. Sociodemographic and behavioral information were collected; blood and genital samples were tested for HIV/STI. Risk factors for HIV infection were examined using multivariate logistic regression. HIV seroprevalence was 37%. The prevalence of Neisseria gonorrhoeae was 13%, Chlamydia trachomatis, 9%; Trichomonas vaginalis, 17%; bacterial vaginosis, 56% and candida infection, 11%. Eighty percent had herpes simplex virus 2 antibodies (HSV-2), 21% were TPHA-positive and 10% had active syphilis (RPR+TPHA+). In 3% of the genital ulcers, Treponema pallidum (TP) was identified, Haemophilus ducreyi in 6%, and HSV-2 in 35%. Prevalent HIV was independently associated with older age, being widowed, lack of education, sex work as sole income, street-based sex work, not knowing HIV-status, using alcohol, and intravaginal cleansing with soap. HIV infection was associated with N. gonorrhoeae, T. vaginalis, bacterial vaginosis, HSV-2 seropositivity and active syphilis. Prevalence of HIV/STI is high among women involved in high-risk sexual behavior in Kampala. Targeted HIV prevention interventions including regular STI screening, voluntary HIV testing and counseling, condom promotion, and counseling for reducing alcohol use are urgently needed in this population.
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                Author and article information

                Contributors
                Role: Editor
                Journal
                PLoS One
                PLoS ONE
                plos
                plosone
                PLoS ONE
                Public Library of Science (San Francisco, USA )
                1932-6203
                2014
                9 July 2014
                : 9
                : 7
                : e101690
                Affiliations
                [1 ]Department of Infectious Disease Epidemiology, Imperial College, London, United Kingdom
                [2 ]St. Michael's Hospital, Department of Medicine, University of Toronto, Toronto, Canada
                [3 ]Centre for Global Public Health, Department of Community Health Sciences, University of Manitoba, Winnipeg, Canada
                Alberta Provincial Laboratory for Public Health/University of Alberta, Canada
                Author notes

                Competing Interests: The authors have declared that no competing interests exist.

                Conceived and designed the experiments: S. Mishra MCB MP JFB. Analyzed the data: S. Mishra. Wrote the paper: S. Mishra. Conceived of the study and designed the analysis: S. Mishra MCB MP JFB. Designed, developed, and analyzed the models: S. Mishra. Interpreted results and provided critical review and editing of manuscript: S. Mishra MCB ZS MP S. Moses JFB. Contributed to model design: MP.

                Article
                PONE-D-13-48134
                10.1371/journal.pone.0101690
                4090151
                25014543
                715e4980-9d6f-46a8-beb0-a0e149f98084
                Copyright @ 2014

                This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.

                History
                : 15 November 2013
                : 10 June 2014
                Page count
                Pages: 14
                Funding
                The study was funded by the HIV Modelling Consortium, with support provided from a grant by the Bill & Melinda Gates Foundation. The funders had no role in the study design, data collection and analysis, decision to publish, or preparation of the manuscript.
                Categories
                Research Article
                Biology and Life Sciences
                Computational Biology
                Population Modeling
                Infectious Disease Modeling
                Microbiology
                Medical Microbiology
                Microbial Pathogens
                Viral Pathogens
                Immunodeficiency Viruses
                HIV
                Medicine and health sciences
                Epidemiology
                HIV epidemiology
                Infectious disease epidemiology
                Infectious Diseases
                Viral Diseases
                Public and occupational health
                Preventive medicine
                HIV prevention
                Research and Analysis Methods
                Simulation and Modeling

                Uncategorized
                Uncategorized

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