| 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.contributor.author |
Rouzier, Vanessa |
|
| dc.contributor.author |
Luque, Marco Tulio |
|
| dc.contributor.author |
Sohn, Annette H. |
|
| dc.date.accessioned |
2021-08-25T07:10:17Z |
|
| dc.date.available |
2021-08-25T07:10:17Z |
|
| dc.date.issued |
2021 |
|
| dc.identifier.uri |
doi: 10.1097/INF.0000000000003059 |
|
| dc.identifier.uri |
http://ir.mu.ac.ke:8080/jspui/handle/123456789/5088 |
|
| 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, Inc. |
en_US |
| dc.subject |
Perinatal |
en_US |
| dc.subject |
Nonperinatal |
en_US |
| dc.subject |
Adolescents |
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 |