• Corpus ID: 88515947

Quantifying the recency of HIV infection using multiple longitudinal biomarkers

@article{Koulai2017QuantifyingTR,
  title={Quantifying the recency of HIV infection using multiple longitudinal biomarkers},
  author={Loumpiana Koulai and Anne M Presanis and Gary Murphy and Barbara Suligoi and Daniela De Angelis},
  journal={arXiv: Applications},
  year={2017}
}
Knowledge of the time at which an HIV-infected individual seroconverts, when the immune system starts responding to HIV infection, plays a vital role in the design and implementation of interventions to reduce the impact of the HIV epidemic. A number of biomarkers have been developed to distinguish between recent and long-term HIV infection, based on the antibody response to HIV. To quantify the recency of infection at an individual level, we propose characterising the growth of such biomarkers… 

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Estimating HIV incidence from multiple sources of data
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This thesis develops novel statistical methodology for estimating the incidence and the prevalence of Human Immunodeficiency Virus using routinely collected surveillance data using age-dependent and age-independent back-calculation to achieve the joint estimation of age-and-time dependent HIV incidence and diagnosis rates.

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