Forecasting the population-level impact of reductions in HIV antiretroviral therapy in Papua new guinea

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Abstract

Papua New Guinea (PNG) recently did not secure external funding for the continuation of its antiretroviral treatment (ART) programs meaning that supplies of HIV drugs for the estimated 38,000 people living with HIV in PNG could be completely depleted during 2010. Using a mathematical model of HIV transmission calibrated to available HIV epidemiology data from PNG, we evaluated the expected population-level impact of reductions in ART availability. If the number of people on ART falls to 10% of its current level, then there could be an approximately doubling in annual incidence and an additional 12,848 AIDS-related deaths (100.7% increase) over the next 5 years; if ART provision is halved, then annual incidence would increase by ∼68%, and there would be an additional ∼10,936 AIDS-related deaths (85.7% increase). These results highlight that maintenance of ART and associated services through external funding is essential for the health and well-being of HIV-positive people in PNG. © 2011 Richard T. Gray et al.

Figures

  • Figure 1: Schematic diagram of the stages of HIV infection described by the model and the progression of people through these stages due to infection, disease progression, diagnosis, and initiation of treatment. These stages are replicated for the urban and rural population in PNG with migration (except for people on treatment) between corresponding infection stages. People enter the uninfected population when they become sexually active and leave the population due to natural or HIV-related mortality.
  • Table 1: Definitions and value ranges for input and fitting parameters used in our HIV transmissionmodel.
  • Figure 2: Fitting and calibration of the HIV transmission model to PNG epidemiological data from 1990 to 2009. In each figure, estimates or data from the PNGNational Department of Health (black discs, data) are compared with 100 model-based simulations (red) and median simulations (blue) over the period from 1990 to 2009. (a) HIV prevalence in adult population. (b) HIV incidence each year per 100 persons. (c) Number of HIV diagnoses each year. (d) The cumulative number of HIV-infected people who have started antiretroviral treatment by the end of each year.
  • Figure 3: The impact of reductions in ART availability. (a) Median number of HIV-infected people receiving ART for scenarios from (i) to (iv) in the text. These scenarios were a continuation of the ART roll-out after 2009, maintaining ART services so that the number of people who receive ART remains constant, a reduction in the number of people receiving treatment of 50% from the level at the end of 2009, and a reduction in the number of people receiving treatment of 90% from the level at the end of 2009. (b) Median annual incidence per 100 person-years after 2009 for 100 simulations of each of the scenarios considered. (c) Total number of advanced HIV deaths for the period 2010–2014 for all the scenarios considered. The blue bars represent the median number of deaths for scenarios from (i) to (iv) in the text with the black error bars showing the minimum and maximum number of deaths for 100 model simulations of each scenario. Similarly, the red bars represent the median number of deaths for the scenarios where ART programs and services are interrupted for two years.

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CITATION STYLE

APA

Gray, R. T., Zhang, L., Lupiwa, T., & Wilson, D. P. (2011). Forecasting the population-level impact of reductions in HIV antiretroviral therapy in Papua new guinea. AIDS Research and Treatment, 2011. https://doi.org/10.1155/2011/891593

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