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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.
In the Lake Kariba region of Zambia, villages with high and low malaria burden are interconnected, making elimination potentially very challenging.
We review standard model reduction techniques such as Proper Orthogonal Decomposition (POD) with Galerkin projection and Balanced POD (BPOD).