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Containing the recent West African outbreak of Ebola virus (EBOV) required the deployment of substantial global resources.
We propose an alternative data-driven method to infer networked nonlinear dynamical systems by using sparsity-promoting optimization to select a subset of nonlinear interactions representing dynam
Mathematical modeling is used to evaluate mosquito gene-drive approaches in realistically seasonal spatial settings and to determine constraints on gene-construct parameters and release strategies.
SParSE++ is an event-oriented stochastic parameter search algorithm that features various leaping methods and improved interpolation over the existing algorithm SParSE.