Viral Load Monitoring of Antiretroviral Therapy, cohort viral load and HIV transmission in Southern Africa: A Mathematical Modelling Analysis

Hdl Handle:
http://hdl.handle.net/10144/279038
Title:
Viral Load Monitoring of Antiretroviral Therapy, cohort viral load and HIV transmission in Southern Africa: A Mathematical Modelling Analysis
Authors:
Estill, Janne; Aubrière, Cindy; Egger, Matthias; Johnson, Leigh; Wood, Robin; Garone, Daniela; Gsponer, Thomas; Wandeler, Gilles; Boulle, Andrew; Davies, Mary-Ann; Hallett, Timothy B; Keiser, Olivia
Journal:
AIDS (London, England)
Abstract:
In low-income settings, treatment failure is often identified using CD4 cell count monitoring. Consequently, patients remain on a failing regimen, resulting in a higher risk of transmission. We investigated the benefit of routine viral load monitoring for reducing HIV transmission.
Affiliation:
Institute of Social and Preventive Medicine, University of Bern, Switzerland.
Issue Date:
20-Mar-2012
URI:
http://hdl.handle.net/10144/279038
DOI:
10.1097/QAD.0b013e3283536988
PubMed ID:
22421243
Language:
en
ISSN:
1473-5571
Appears in Collections:
HIV/AIDS

Full metadata record

DC FieldValue Language
dc.contributor.authorEstill, Janneen_GB
dc.contributor.authorAubrière, Cindyen_GB
dc.contributor.authorEgger, Matthiasen_GB
dc.contributor.authorJohnson, Leighen_GB
dc.contributor.authorWood, Robinen_GB
dc.contributor.authorGarone, Danielaen_GB
dc.contributor.authorGsponer, Thomasen_GB
dc.contributor.authorWandeler, Gillesen_GB
dc.contributor.authorBoulle, Andrewen_GB
dc.contributor.authorDavies, Mary-Annen_GB
dc.contributor.authorHallett, Timothy Ben_GB
dc.contributor.authorKeiser, Oliviaen_GB
dc.date.accessioned2013-04-04T23:00:49Z-
dc.date.available2013-04-04T23:00:49Z-
dc.date.issued2012-03-20-
dc.identifier.citationViral load monitoring of antiretroviral therapy, cohort viral load and HIV transmission in Southern Africa: a mathematical modelling analysis. 2012, 26 (11):1403-13 AIDSen_GB
dc.identifier.issn1473-5571-
dc.identifier.pmid22421243-
dc.identifier.doi10.1097/QAD.0b013e3283536988-
dc.identifier.urihttp://hdl.handle.net/10144/279038-
dc.description.abstractIn low-income settings, treatment failure is often identified using CD4 cell count monitoring. Consequently, patients remain on a failing regimen, resulting in a higher risk of transmission. We investigated the benefit of routine viral load monitoring for reducing HIV transmission.en_GB
dc.language.isoenen
dc.rightsPublished by Wolters Kluwer Lippincott Williams & Wilkins - Archived on this site by kind permission Wolters Kluweren_GB
dc.subject.meshAcquired Immunodeficiency Syndromeen_GB
dc.subject.meshAfrica, Southernen_GB
dc.subject.meshAlgorithmsen_GB
dc.subject.meshAnti-HIV Agentsen_GB
dc.subject.meshCD4 Lymphocyte Counten_GB
dc.subject.meshCohort Studiesen_GB
dc.subject.meshFemaleen_GB
dc.subject.meshFollow-Up Studiesen_GB
dc.subject.meshHumansen_GB
dc.subject.meshMaleen_GB
dc.subject.meshModels, Theoreticalen_GB
dc.subject.meshPredictive Value of Testsen_GB
dc.subject.meshViral Loaden_GB
dc.titleViral Load Monitoring of Antiretroviral Therapy, cohort viral load and HIV transmission in Southern Africa: A Mathematical Modelling Analysisen
dc.contributor.departmentInstitute of Social and Preventive Medicine, University of Bern, Switzerland.en_GB
dc.identifier.journalAIDS (London, England)en_GB

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