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dc.contributor.authorMuhereza, Patson
dc.date.accessioned2020-01-20T10:06:39Z
dc.date.available2020-01-20T10:06:39Z
dc.date.issued2019-01-21
dc.identifier.urihttp://hdl.handle.net/20.500.12281/8481
dc.description.abstractThe burden of human immunodeficiency virus (HIV) response in resource-poor countries is extensive, and a large proportion of HIV patients rely on accessing health care services in rural and underserved areas that do not have the capacity or capability to determine CD4 cell counts and viral loads for monitoring HIV disease progression (Mwamburi, Ghosh, Fauntleroy, Gorbach, & Wanke, 2005). In rural Uganda, return of viral load test results from ministry of health (MoH) for persons living with HIV is after 2 weeks, and these tests are usually done annually. This leaves progression to symptoms (“2. 9 History of viral load tests | Training manual | HIV i-Base,” n.d.) as the only indicator for failure to Viral Load Suppression (VLS) during the lag between collecting samples and return of test results. Therefore, models to predict VLS and to minimize the lag between sample collection and return of results are needed in rural Uganda.en_US
dc.language.isoenen_US
dc.publisherMakerere Universityen_US
dc.subjectAIDSen_US
dc.subjectHIVen_US
dc.subjectCD4en_US
dc.subjectVIRAL LOADen_US
dc.subjectUVRIen_US
dc.subjectTASOen_US
dc.subjectMULAGOen_US
dc.subjectHIV/AIDSen_US
dc.subjectPLWHAen_US
dc.subjectAnti Retroviral Therapyen_US
dc.titlePredictors for viral load in a resource limited setting: A case study of TASO Mulagoen_US
dc.typeThesisen_US


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