Improving Methods to Classify Perinatal versus Nonperinatal HIV Acquisition in Young Adolescents 10–14 Years of Age

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DC Field	Value	Language
dc.contributor.author	Tsondai, Priscilla Ruvimbo	-
dc.contributor.author	Davies, Mary-Ann	-
dc.contributor.author	Singtoroj, Thida	-
dc.contributor.author	Maxwell, Nicola	-
dc.contributor.author	McGowan, Catherine C.	-
dc.contributor.author	Songtaweesin, Wipaporn N.	-
dc.contributor.author	Technau, Karl-Günter	-
dc.contributor.author	Kariminia, Azar	-
dc.contributor.author	Chimbetete, Cleophas	-
dc.contributor.author	Succi, Regina C. M.	-
dc.contributor.author	Pinto, Jorge	-
dc.date.accessioned	2021-06-28T07:32:41Z	-
dc.date.available	2021-06-28T07:32:41Z	-
dc.date.issued	2021-05	-
dc.identifier.uri	doi: 10.1097/INF.0000000000003059	-
dc.identifier.uri	http://ir.mu.ac.ke:8080/jspui/handle/123456789/4703	-
dc.description.abstract	Mode 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.iso	en	en_US
dc.publisher	Wolters Kluwer Health	en_US
dc.subject	Perinatal	en_US
dc.subject	Young Adolescents	en_US
dc.subject	HIV Acquisition	en_US
dc.subject	Nonperinatal	en_US
dc.title	Improving Methods to Classify Perinatal versus Nonperinatal HIV Acquisition in Young Adolescents 10–14 Years of Age	en_US
dc.type	Article	en_US
Appears in Collections:	School of Medicine

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