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PubMed · 8159330

A multidisciplinary, multifaceted HIV program: linking the resources.

M A Turjanica·T R Ardabell·N A Schiffer·M Poirier·S Brodeur
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Abstract

The current and potential impact of the human immunodeficiency virus (HIV) disease on the financial and human resources of institutions requires strategic planning by health care administrators and providers. The HIV disease devastates the lives of many individuals, and it continues to impact the health care industry with accelerating force. Fairfax Hospital has developed a comprehensive HIV program to address the current needs of people afflicted with this disease and to manage for the future. Goals and strategies are discussed.

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HIV InfectionsHIV-1Health ResourcesHospital Bed Capacity, 500 and overHospitals, ProprietaryHumansPatient Care PlanningPatient Care TeamPatient Education as TopicVirginiaJournal Article

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M A Turjanica, T R Ardabell, N A Schiffer, M Poirier, S Brodeur. 1994. A multidisciplinary, multifaceted HIV program: linking the resources.. https://pubmed.ncbi.nlm.nih.gov/8159330/

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HIV-phyloTSI: subtype-independent estimation of time since HIV-1 infection for cross-sectional measures of population incidence using deep sequence data.

BACKGROUND: Estimating the time since HIV infection (TSI) at population level is essential for tracking changes in the global HIV epidemic. Most methods for determining TSI give a binary classification of infections as recent or non-recent within a window of several months, and cannot assess the cumulative impact of an intervention. RESULTS: We developed a Random Forest Regression model, HIV-phyloTSI, which combines measures of within-host diversity and divergence to generate continuous TSI estimates directly from viral deep-sequencing data, with no need for additional variables. HIV-phyloTSI provides a continuous measure of TSI up to 9 years, with a mean absolute error of less than 12 months overall and less than 5 months for infections with a TSI of up to a year. It performs equally well for all major HIV subtypes based on data from African and European cohorts. CONCLUSIONS: We demonstrate how HIV-phyloTSI can be used for incidence estimates on a population level.

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