title: A simulation model of the within-host dynamics of Plasmodium vivax infection.
abstract: BACKGROUND
  The benign reputation of Plasmodium vivax is at odds with the burden and severity of the disease. This reputation, combined with restricted in vitro techniques, has slowed efforts to gain an understanding of the parasite biology and interaction with its human host.
  
  
  METHODS
  A simulation model of the within-host dynamics of P. vivax infection is described, incorporating distinctive characteristics of the parasite such as the preferential invasion of reticulocytes and hypnozoite production. The developed model is fitted using digitized time-series' from historic neurosyphilis studies, and subsequently validated against summary statistics from a larger study of the same population. The Chesson relapse pattern was used to demonstrate the impact of released hypnozoites.
  
  
  RESULTS
  The typical pattern for dynamics of the parasite population is a rapid exponential increase in the first 10 days, followed by a gradual decline. Gametocyte counts follow a similar trend, but are approximately two orders of magnitude lower. The model predicts that, on average, an infected naïve host in the absence of treatment becomes infectious 7.9 days post patency and is infectious for a mean of 34.4 days. In the absence of treatment, the effect of hypnozoite release was not apparent as newly released parasites were obscured by the existing infection.
  
  
  CONCLUSIONS
  The results from the model provides useful insights into the dynamics of P. vivax infection in human hosts, in particular the timing of host infectiousness and the role of the hypnozoite in perpetuating infection.
authors: Infectious Diseases Programme, QIMR Berghofer Medical Research Institute, Brisbane, QLD, Australia. d.kerlin@griffith.edu.au.
authors: Douglas H
authors: DH
authors: Kerlin
authors: Infectious Diseases Programme, QIMR Berghofer Medical Research Institute, Brisbane, QLD, Australia. m.gatton@qut.edu.au.|School of Public Health and Social Work, Queensland University of Technology, GPO Box 2434, Brisbane, QLD 4001, Australia. m.gatton@qut.edu.au.
authors: Michelle L
authors: ML
authors: Gatton
mesh_terms: D003198:Computer Simulation; D005260:Female; D006801:Humans; D016780:Malaria, Vivax / Q000469:parasitology*; D008297:Male; D015233:Models, Statistical; D010966:Plasmodium vivax / Q000254:growth & development*; D013997:Time Factors
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