VIRUS ECOLOGY HIV Growth Dynamics in Individuals and Populations: Implications for Control Programs
THESIS
Assessing virus growth dynamics uses population models
Initial Virus Reproduction Numbers (R0) Within and Between Individuals
Systems Science
Population concepts of R0 in virus reproduction and transmission systems
Example where assessment of virus reproduction dynamics was important
Modeling HIV virus dynamics
Simplest Equilibrium Turnover Model
Virus Levels After Treatment For Virus Death Rates 2, 1, 0.5 per day
Adequacy of Models
Elaborating and Refining Estimates of Virus Reproduction Dynamics
Dynamics with Virus Producing Cells
Comparing Simple and Refined Models Without Latently Infected Cells
Implications of this model for early infection dynamics
Add Latently Infected Cells to Model
Overall Pattern Generated Latently Infected Cells Keep Infection from Eradication
Problems In Specifying How Long Rx Must Be for Eradication
Add NonInfectiousVirus Measurement
Infectious and Noninfectious Virus Patterns
Email: jkoopman@umich.edu
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