Simulates stochastic hybrid models for transmission of infectious diseases in dynamic networks. It is a metapopulation model in which each node in the network is a sub-population and disease spreads within nodes and among them, combining two approaches: stochastic simulation algorithm or its approximations (Gillespie DT (2007) <doi:10.1146/annurev.physchem.58.032806.104637>) and individual-based approach, respectively. Movement among nodes are data based and can be irregular. Equations that models spread within nodes are customizable and there are two link types among nodes: migration and influence (commuting).
|Author||Fernando S. Marques [aut, cre], Jose H. H. Grisi-Filho [aut], Marcos Amaku [aut]|
|Maintainer||Fernando S. Marques <[email protected]>|
|License||GPL (>= 2)|
|Package repository||View on GitHub|
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