Please use this identifier to cite or link to this item: http://ir.mu.ac.ke:8080/jspui/handle/123456789/5340
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dc.contributor.authorTsondai, Priscilla Ruvimbo-
dc.contributor.authorDavies, Mary-Ann-
dc.contributor.authorChimbetete, Cleophas-
dc.date.accessioned2021-10-22T07:48:55Z-
dc.date.available2021-10-22T07:48:55Z-
dc.date.issued2021-
dc.identifier.urihttp://ir.mu.ac.ke:8080/jspui/handle/123456789/5340-
dc.description.abstractMode of HIV acquisition for adolescents with HIV is often not recorded within routine healthcare databases. Hence, age at enrollment in HIV care is often used as a proxy for perinatal versus nonperinatal infection. Using routine cohort data from adolescents presenting for HIV care 10–14 years of age, we developed logistic regression models to predict likely mode of infection.en_US
dc.language.isoenen_US
dc.publisherWolters Kluwer Healthen_US
dc.subjectAdolescentsen_US
dc.subjectHIVen_US
dc.subjectMode of infectionen_US
dc.titleImproving methods to classify perinatal versus nonperinatal HIV acquisition in young adolescents 10–14 years of ageen_US
dc.typeArticleen_US
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