<p>The predicted spatial pattern is the result of an individual run of the agent-based model with the parameter combination obtained from the model fitting procedure. Snapshots in time are shown, representing days 7, 9, 11, and 13 post infection. (a) The area of green fluorescence is shown, expressed by the infected cells, thus documenting the spatial spread of the virus through the population target cells arranged in a two dimensional setting. (b) In the computer simulation, green indicates infected cells, red infected cells, and grey empty spots.</p
<p>Plots are averages of <i>n</i> = 5 simulations that are evolution of only one sinusoid for 3 case...
In the Voronoi model, we considered various dispersal distances of the virus. For each dispersal dis...
(A) Serial Images of tumor cell and virus spread were captured and converted into digital images (B)...
<p>The predicted spatial pattern is the result of an individual run of the agent-based model with th...
<p>The number of cells was determined by measuring the fluorescent area of the infected cell populat...
<div><p>Oncolytic viruses replicate selectively in tumor cells and can serve as targeted treatment a...
<p>For each pattern, four snapshots in time are shown. Green indicates uninfected cells, red infecte...
<p>Predicted distribution of epidemic outcomes, (A–C) with a static host contact (edge-edge) distanc...
A) A heatmap with contour lines showing the values of initial spatial predictability (ϕ) calculated ...
The results from simulations of outbreaks for 7 example pathogens (influenza, SARS-CoV-2, measles, E...
<p>(a) Seven of 300 micro-regions are shown to indicate that cell-free virus from a single region ca...
<p>(a) Example image (DIP-GFP input = 10) of a plaque maximum intensity projection with concentric r...
The snapshot of the full version of our model shows the typical wave pattern and epidemic foci as pr...
A susceptible-infective-recovered (SIR) epidemiological model based on probabilistic cellular automa...
Spatio-temporal dynamics are vital in understanding the course of infection, particularly for infect...
<p>Plots are averages of <i>n</i> = 5 simulations that are evolution of only one sinusoid for 3 case...
In the Voronoi model, we considered various dispersal distances of the virus. For each dispersal dis...
(A) Serial Images of tumor cell and virus spread were captured and converted into digital images (B)...
<p>The predicted spatial pattern is the result of an individual run of the agent-based model with th...
<p>The number of cells was determined by measuring the fluorescent area of the infected cell populat...
<div><p>Oncolytic viruses replicate selectively in tumor cells and can serve as targeted treatment a...
<p>For each pattern, four snapshots in time are shown. Green indicates uninfected cells, red infecte...
<p>Predicted distribution of epidemic outcomes, (A–C) with a static host contact (edge-edge) distanc...
A) A heatmap with contour lines showing the values of initial spatial predictability (ϕ) calculated ...
The results from simulations of outbreaks for 7 example pathogens (influenza, SARS-CoV-2, measles, E...
<p>(a) Seven of 300 micro-regions are shown to indicate that cell-free virus from a single region ca...
<p>(a) Example image (DIP-GFP input = 10) of a plaque maximum intensity projection with concentric r...
The snapshot of the full version of our model shows the typical wave pattern and epidemic foci as pr...
A susceptible-infective-recovered (SIR) epidemiological model based on probabilistic cellular automa...
Spatio-temporal dynamics are vital in understanding the course of infection, particularly for infect...
<p>Plots are averages of <i>n</i> = 5 simulations that are evolution of only one sinusoid for 3 case...
In the Voronoi model, we considered various dispersal distances of the virus. For each dispersal dis...
(A) Serial Images of tumor cell and virus spread were captured and converted into digital images (B)...