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dc.contributor.authorEstill, Janne
dc.contributor.authorAubrière, Cindy
dc.contributor.authorEgger, Matthias
dc.contributor.authorJohnson, Leigh
dc.contributor.authorWood, Robin
dc.contributor.authorGarone, Daniela
dc.contributor.authorGsponer, Thomas
dc.contributor.authorWandeler, Gilles
dc.contributor.authorBoulle, Andrew
dc.contributor.authorDavies, Mary-Ann
dc.contributor.authorHallett, Timothy B
dc.contributor.authorKeiser, Olivia
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.
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
refterms.dateFOA2019-03-04T10:25:19Z
html.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.


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