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). |
X Demographics
The data shown below were collected from the profiles of 3 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
Country | Count | As % |
---|---|---|
United States | 3 | 100% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 3 | 100% |
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% |