Publication:
HIV drug resistance in sub-Saharan Africa: public health questions and the potential role of real-world data and mathematical modelling.

cris.virtual.author-orcid0000-0001-7462-5132
cris.virtualsource.author-orcidf7d129ef-b7f1-4953-89d7-abbd309cb170
cris.virtualsource.author-orcida47a659b-5a23-43fa-86e3-f9401108114c
cris.virtualsource.author-orcidb256b53c-3915-4d75-8048-1c3f46cbbb42
datacite.rightsopen.access
dc.contributor.authorde Waal, Reneé
dc.contributor.authorLessells, Richard
dc.contributor.authorHauser, Anthony Willy
dc.contributor.authorKouyos, Roger
dc.contributor.authorDavies, Mary-Ann
dc.contributor.authorEgger, Matthias
dc.contributor.authorWandeler, Gilles
dc.date.accessioned2024-10-07T16:46:10Z
dc.date.available2024-10-07T16:46:10Z
dc.date.issued2018-11-15
dc.description.abstractThe prevalence of pretreatment resistance to non-nucleoside reverse transcriptase inhibitors (NNRTIs) is >10% in many low-income countries. As a consequence, several sub-Saharan African countries have implemented, or are considering the introduction of, non-NNRTI-based first-line antiretroviral therapy (ART) for treatment-naïve and treatment-experienced patients. This is occurring at a time when ART programmes are expanding, in response to the World Health Organization guidelines, which recommend ART initiation regardless of CD4 cell count. Both those developments raise important questions regarding their potential impact on HIV drug resistance and the impact of HIV drug resistance on clinical outcomes. Those issues are particularly relevant to sub-Saharan Africa, where standardised ART regimens are used and where viral load monitoring and resistance testing are often not done routinely. It is therefore essential to forecast the impact of the implementation of universal ART, and the introduction of drugs such as dolutegravir to first-line regimens, on HIV drug resistance in order to inform future policies and to help ensure sustainable positive long-term outcomes. We discuss important public health considerations regarding HIV drug resistance, and describe how mathematical modelling, combined with real-world data from the four African Regions of the International epidemiology Databases to Evaluate AIDS consortium, could provide an early warning system for HIV drug resistance in sub-Saharan Africa.
dc.description.numberOfPages4
dc.description.sponsorshipInstitut für Sozial- und Präventivmedizin (ISPM)
dc.description.sponsorshipUniversitätsklinik für Infektiologie
dc.identifier.doi10.7892/boris.122372
dc.identifier.pmid30515315
dc.identifier.urihttps://boris-portal.unibe.ch/handle/20.500.12422/61429
dc.language.isoen
dc.publisherMediscript
dc.relation.ispartofJournal of virus eradication
dc.relation.issn2055-6640
dc.relation.organizationDCD5A442BECFE17DE0405C82790C4DE2
dc.relation.organizationDCD5A442BB13E17DE0405C82790C4DE2
dc.subjectHIV drug resistance
dc.subjectuniversal test-and-treat
dc.subjectdolutegravir
dc.subjectsub-Saharan Africa
dc.subjectmathematical modelling
dc.subject.ddc600 - Technology::610 - Medicine & health
dc.subject.ddc300 - Social sciences, sociology & anthropology::360 - Social problems & social services
dc.titleHIV drug resistance in sub-Saharan Africa: public health questions and the potential role of real-world data and mathematical modelling.
dc.typearticle
dspace.entity.typePublication
dspace.file.typetext
oaire.citation.endPage58
oaire.citation.issueSuppl 2
oaire.citation.startPage55
oaire.citation.volume4
oairecerif.author.affiliationInstitut für Sozial- und Präventivmedizin (ISPM)
oairecerif.author.affiliationInstitut für Sozial- und Präventivmedizin (ISPM)
oairecerif.author.affiliationUniversitätsklinik für Infektiologie
oairecerif.author.affiliation2Institut für Sozial- und Präventivmedizin (ISPM)
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unibe.date.licenseChanged2019-10-25 12:48:46
unibe.description.ispublishedpub
unibe.eprints.legacyId122372
unibe.refereedtrue
unibe.subtype.articlejournal

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