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Correction: Determining Disease Intervention Strategies Using Spatially Resolved Simulations

  • Mark Read,
  • Paul S. Andrews,
  • Jon Timmis,
  • Richard A. Williams,
  • Richard B. Greaves,
  • Huiming Sheng,
  • Mark Coles,
  • Vipin Kumar

Correction: Determining Disease Intervention Strategies Using Spatially Resolved Simulations

  • Mark Read, 
  • Paul S. Andrews, 
  • Jon Timmis, 
  • Richard A. Williams, 
  • Richard B. Greaves, 
  • Huiming Sheng, 
  • Mark Coles, 
  • Vipin Kumar
PLOS
x

The image for Fig 4C is incorrect. Please see the complete, corrected Fig 4 here.

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Fig 4. Effector T cell and clinical disease dynamics given anti-CD3 intervention at day 4.

Various efficacies of anti-CD3 intervention have been administered at day 4, which corresponds with encephalitogenic T cell priming. (A) Median effector T cell peak population sizes. (B) CD4Th1 population sizes at 40 days post-induction of EAE; red and blue bars indicate large and non-large effect magnitude changes with respect to the control group, in black. (C) Proportion of simulations that reach a particular maximum clinical disease score. A-test effect magnitude levels are given: 1, 2 and 3 *'s represent small, medium and large effects respectively. (D & E) Proportion of simulations contracting particular clinical scores or greater over time, for control (D) and a drug efficacy of 80% (E).

http://dx.doi.org/10.1371/journal.pone.0128170.g001

Reference

  1. 1. Read M, Andrews PS, Timmis J, Williams RA, Greaves RB, Sheng H, et al. (2013) Determining Disease Intervention Strategies Using Spatially Resolved Simulations. PLoS ONE 8(11): e80506. doi:10.1371/journal.pone.0080506. pmid:24244694