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Title: An accurate two-phase approximate solution to the acute viral infection model

Journal Article · · Journal of Mathematical Biology
OSTI ID:957023
 [1]
  1. Los Alamos National Laboratory

During an acute viral infection, virus levels rise, reach a peak and then decline. Data and numerical solutions suggest the growth and decay phases are linear on a log scale. While viral dynamic models are typically nonlinear with analytical solutions difficult to obtain, the exponential nature of the solutions suggests approximations can be found. We derive a two-phase approximate solution to the target cell limited influenza model and illustrate the accuracy using data and previously established parameter values of six patients infected with influenza A. For one patient, the subsequent fall in virus concentration was not consistent with our predictions during the decay phase and an alternate approximation is derived. We find expressions for the rate and length of initial viral growth in terms of the parameters, the extent each parameter is involved in viral peaks, and the single parameter responsible for virus decay. We discuss applications of this analysis in antiviral treatments and investigating host and virus heterogeneities.

Research Organization:
Los Alamos National Laboratory (LANL), Los Alamos, NM (United States)
Sponsoring Organization:
USDOE
DOE Contract Number:
AC52-06NA25396
OSTI ID:
957023
Report Number(s):
LA-UR-09-01806; LA-UR-09-1806; TRN: US201002%%902
Journal Information:
Journal of Mathematical Biology, Journal Name: Journal of Mathematical Biology
Country of Publication:
United States
Language:
English

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