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      Mathematical modelling of the impact of testing, treatment and control of HIV transmission in Kenya

      1 ,   1 , 1
      Cogent Mathematics & Statistics
      Informa UK Limited

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          Most cited references13

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          Modeling the effect of screening of unaware infectives on the spread of HIV infection

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            Optimizing an HIV testing program using a system dynamics model of the continuum of care

            Realizing the full individual and population-wide benefits of antiretroviral therapy for human immunodeficiency virus (HIV) infection requires an efficient mechanism of HIV-related health service delivery. We developed a system dynamics model of the continuum of HIV care in Vancouver, Canada, which reflects key activities and decisions in the delivery of antiretroviral therapy, including HIV testing, linkage to care, and long-term retention in care and treatment. To measure the influence of operational interventions on population health outcomes, we incorporated an HIV transmission component into the model. We determined optimal resource allocations among targeted and routine testing programs to minimize new HIV infections over five years in Vancouver. Simulation scenarios assumed various constraints informed by the local health policy. The project was conducted in close collaboration with the local health care providers, Vancouver Coastal Health Authority and Providence Health Care.
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              Acute HIV infection: impact on the spread of HIV and transmission of drug resistance.

              To assess the impact of primary HIV infection (PHI) on the spread of HIV and the temporal trends in transmission of HIV drug resistance between 1996 and 1999 in Switzerland. Sequencing of the genes for reverse transcriptase (RT) and protease was performed for 197 individuals with documented PHI. Phylogenetic analyses were confronted with epidemiological data. Significant clustering was demonstrated for 29% of the RT sequences. All these cases occurred closely together in place and time; contact tracing demonstrated transmission at the time of PHI in 30% of them. Genotypic drug resistance was detected in 8.6% of PHI individuals in 1996, 14.6% in 1997, 8.8% in 1998 and 5.0% in 1999. Drug-resistant variants were identified in 11.3% of individuals infected by homosexual contacts, 6.1% by heterosexual contacts, 13% of intravenous drug users and more frequently in men (10.4%) than women (2.6%). Potential factors involved in the recent decrease of transmission of drug-resistant variants include increase of HIV non-B subtypes from 23% in 1996 to 35% in 1999 (only one non-B subtype had resistance mutations) and a steady increase of patients with undetectable viraemia as documented in Swiss HIV Cohort Study (10% in 1996 vs 53% in 1999). Phylogenetic and epidemiological analyses underline the impact of PHI in the spread of HIV. Moreover, this study indicates that drug resistance transmission may have decreased recently in Switzerland through the increased frequency of infection with HIV non-B subtypes and the steady increase of patients with undetectable viraemia.
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                Author and article information

                Contributors
                Journal
                Cogent Mathematics & Statistics
                Cogent Mathematics & Statistics
                Informa UK Limited
                2574-2558
                January 01 2018
                May 14 2018
                : 5
                : 1
                Affiliations
                [1 ]Institute of Mathematical Sciences, Strathmore University Nairobi Kenya
                Article
                10.1080/25742558.2018.1475590
                e1fcf34b-ebe5-4f9a-8383-ba070607506e
                © 2018

                http://creativecommons.org/licenses/by/4.0

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