Decreasing Proportion of Recent Infections among Newly Diagnosed HIV-1 Cases in Switzerland, 2008 to 2013 Based on Line-Immunoassay-Based Algorithms

Schüpbach, Jörg; Niederhauser, Christoph; Yerly Ferrillo, Sabine; Regenass, Stephan; Gorgievski, Meri; Aubert, Vincent; Ciardo, Diana; Klimkait, Thomas; Dollenmaier, Günter; Andreutti, Corinne; Martinetti, Gladys; Brandenberger, Marcel; Gebhardt, Martin D

doi:10.1371/journal.pone.0131828

Scientific article

English

Decreasing Proportion of Recent Infections among Newly Diagnosed HIV-1 Cases in Switzerland, 2008 to 2013 Based on Line-Immunoassay-Based Algorithms

ContributorsSchüpbach, Jörg; Niederhauser, Christoph; Yerly Ferrillo, Sabine; Regenass, Stephan; Gorgievski, Meri; Aubert, Vincent; Ciardo, Diana; Klimkait, Thomas; Dollenmaier, Günter; Andreutti, Corinne; Martinetti, Gladys; Brandenberger, Marcel; Gebhardt, Martin D

Published inPLOS ONE, vol. 10, no. 7, e0131828

Publication date2015

Abstract

HIV surveillance requires monitoring of new HIV diagnoses and differentiation of incident and older infections. In 2008, Switzerland implemented a system for monitoring incident HIV infections based on the results of a line immunoassay (Inno-Lia) mandatorily conducted for HIV confirmation and type differentiation (HIV-1, HIV-2) of all newly diagnosed patients. Based on this system, we assessed the proportion of incident HIV infection among newly diagnosed cases in Switzerland during 2008-2013.

Keywords

Adult
Algorithms
Cross-Sectional Studies
Epidemiological Monitoring
Female
HIV Antibodies/blood
HIV Infections/diagnosis/epidemiology/virology
HIV-1/immunology
HIV-2/immunology
Humans
Immunoassay/methods
Male
Switzerland/epidemiology

Affiliation entities

Faculté de médecine / Section de médecine fondamentale / Département de pathologie et immunologie

Research groups

Virologie clinique (668)

Citation (ISO format)

SCHÜPBACH, Jörg et al. Decreasing Proportion of Recent Infections among Newly Diagnosed HIV-1 Cases in Switzerland, 2008 to 2013 Based on Line-Immunoassay-Based Algorithms. In: PLOS ONE, 2015, vol. 10, n° 7, p. e0131828. doi: 10.1371/journal.pone.0131828