Epigrass

EpiGrass is a simulator of epidemics over networks. It is a scientific tool created for simulations and scenario analysis in network epidemiology. (Source: http://freecode.com/)

Keywords for this software

Anything in here will be replaced on browsers that support the canvas element

References in zbMATH (referenced in 5 articles )

Showing results 1 to 5 of 5.
Sorted by year (citations)

  1. Fernando S. Marques, José H. H. Grisi-Filho, Jean C. R. Silva, Erivânia C. Almeida, José L. Silva Júnior: hybridModels: An R Package for the Stochastic Simulation of Disease Spreading in Dynamic Networks (2020) not zbMATH
  2. Vyasarayani, C. P.; Chatterjee, Anindya: New approximations, and policy implications, from a delayed dynamic model of a fast pandemic (2020)
  3. Giulio Rossetti, Letizia Milli, Salvatore Rinzivillo, Alina Sirbu, Fosca Giannotti, Dino Pedreschi: NDlib: a Python Library to Model and Analyze Diffusion Processes Over Complex Networks (2017) arXiv
  4. Berman, Piotr; DasGupta, Bhaskar; Kaligounder, Lakshmi; Karpinski, Marek: On the computational complexity of measuring global stability of banking networks (2014)
  5. Shakarian, Paulo; Subrahmanian, V. S.; Sapino, Maria Luisa: Using generalized annotated programs to solve social network optimization problems (2010)