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Estimation of Within-Host Reproductive Number Distributions from HIV-1 Viral Load Data

The basic reproductive number R0 is defined as the expected number of secondary cases generated by a "typical" infected individual in a totally susceptible population. In the context of within-host viral dynamics, we study the reproductive number of virions and infected cells. In this study we utilize empirical data from ten anti-retroviral, drug-naive, patients infected with HIV-1, published by Stafford et. al. [18]. We apply a Bayesian procedure which results in the estimation of the full probability distribution of R0, due to Bettencourt and Riberiro. In addition, an uncertainty and sensitivity analysis of R0 is employed to assess the role played by variation of modell parameters in within-host viral dynamics.

Article Number:
MTBI-03-03M

Year:
2006

Authors:
Jennifer Lamb, North Kentucky University
Aníbal Y. López-Correa, University of Puerto Rico-Cayey
Kamau Romero, Brown University
Xiaohong Wang, Arizona State University
Ariel Cintron-Arias, Arizona State University

estimation_of_within-host_reproductive_number_distributions_from_hiv-1_viral_load_data_.pdf