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. Author manuscript; available in PMC: 2017 May 1.
Published in final edited form as: Wiley Interdiscip Rev Syst Biol Med. 2016 Mar 22;8(3):242–252. doi: 10.1002/wsbm.1332

Figure 4.

Figure 4

Experimental outcomes of spatial virus spread and model fitting. (a) A “ring structure” can develop where the virus population expands as a growing ring. The model can accurately describe the time evolution of cells and qualitatively reproduces the spatial structure. (b) The other spatial pattern is the disperse pattern. Again, the model can accurately describe the time evolution of cells and qualitatively reproduces the spatial structure. In the predicted time series, the black line is the predicted number of cells, and the upper and lower grey lines represent standard deviations. In the spatial plots, the upper panels are experimental data where infected cells are shown by green fluorescence. The lower panels are computer simulations based on the estimated parameters, where green represents uninfected cells, red infected cells, and grey empty space.