A Markov Model to Estimate Mortality Due to HIV/AIDS Using Viral Load Levels-Based States and CD4 Cell Counts: A Principal Component Analysis Approach

A Markov Model to Estimate Mortality Due to HIV/AIDS Using Viral Load Levels-Based States and CD4 Cell Counts: A Principal Component Analysis Approach

Abstract Introduction Improvement of health in human immunodeficiency virus/acquired immunodeficiency syndrome (HIV/AIDS) patients on antiretroviral therapy (ART) is characterised by an increase in CD4 cell counts and a decrease in viral load to undetectable levels. In modelling HIV/AIDS progression...

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Bibliographic Details
Main Authors: Claris Shoko, Delson Chikobvu, Pascal O. Bessong
Format: Article
Language:English
Published: Adis, Springer Healthcare 2018-11-01
Series:Infectious Diseases and Therapy
Subjects:
Continuous-time Markov model
HIV progression
Orthogonal CD4
Principal component analysis
Online Access:http://link.springer.com/article/10.1007/s40121-018-0217-y

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http://link.springer.com/article/10.1007/s40121-018-0217-y

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