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Need for speed: An optimized gridding approach for spatially explicit disease simulations

Fig 3

Results from outbreak simulations with the conditional subsample transmission algorithm.

Average run time in seconds for each tested grid cell size up to and including the outbreak stages 10 and 10000 (* indicates estimated optimal grid cell size ). The 5th and 95th percentiles are indicated by the ranges (main panels). Each combination of landscape and grid configuration using the CS algorithm, as well as simulations with the pairwise algorithm for comparison was simulated with 500 replicates. The landscapes were (panels A-F): random uniform, random moderate clustering, random high clustering, USA, Sweden, UK. The regular grid construction method was used for the uniform random landscape and the adaptive grid construction method was used for the other landscapes. The black line indicates a unitless relative expected efficacy of the different grid sizes as indicated by the grid optimum estimation method.

doi: https://doi.org/10.1371/journal.pcbi.1006086.g003