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Transitional Probability-Based Model for HPV Clearance in HIV-1-Positive Adolescent Females

Overview of attention for article published in PLOS ONE, January 2012
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Title
Transitional Probability-Based Model for HPV Clearance in HIV-1-Positive Adolescent Females
Published in
PLOS ONE, January 2012
DOI 10.1371/journal.pone.0030736
Pubmed ID
Authors

Julia Kravchenko, Igor Akushevich, Staci L. Sudenga, Craig M. Wilson, Emily B. Levitan, Sadeep Shrestha

Abstract

HIV-1-positive patients clear the human papillomavirus (HPV) infection less frequently than HIV-1-negative. Datasets for estimating HPV clearance probability often have irregular measurements of HPV status and risk factors. A new transitional probability-based model for estimation of probability of HPV clearance was developed to fully incorporate information on HIV-1-related clinical data, such as CD4 counts, HIV-1 viral load (VL), highly active antiretroviral therapy (HAART), and risk factors (measured quarterly), and HPV infection status (measured at 6-month intervals).

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 31 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Spain 2 6%
Unknown 29 94%

Demographic breakdown

Readers by professional status Count As %
Student > Master 7 23%
Researcher 6 19%
Student > Ph. D. Student 5 16%
Student > Postgraduate 3 10%
Professor 1 3%
Other 3 10%
Unknown 6 19%
Readers by discipline Count As %
Medicine and Dentistry 11 35%
Agricultural and Biological Sciences 3 10%
Mathematics 2 6%
Chemical Engineering 1 3%
Computer Science 1 3%
Other 6 19%
Unknown 7 23%