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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).
A star-shaped, drug-containing material is packaged into a capsule that dissolves in the stomach and assumes a shape that cannot pass further down the intestine.
The post-2015 End TB Strategy sets global targets of reducing tuberculosis incidence by 50% and mortality by 75% by 2025.
Using recent advances in sparsity-promoting techniques, we present a novel algorithm to solve this sparse sensor placement optimization for classification (SSPOC) that exploits low-dimensional str
The post-2015 End TB Strategy proposes targets of 50% reduction in TB incidence and 75% reduction in mortality from TB by 2025.
A spatial metapopulation model of wild poliovirus Type 1 transmission in Kano State, Nigeria is developed, calibrated to historical data, and projected into the future.
A new computational model was developed to investigate the probability of fertilization over a range of overdispersion parameters and male gamete exploration rates.