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Decision makers need efficient algorithms to draw meaningful conclusions from detailed stochastic simulations with respect to a goal-oriented objective.
Understanding the environmental conditions of disease transmission is important in the study of vector-borne diseases.
This work develops compressive sampling strategies for computing the dynamic mode decomposition (DMD) from heavily subs
Contact rates tend to increase with density but saturate at higher density.
Stochastic simulations of reaction-diffusion processes are frequently used for modelling epidemiological processes.
Malaria exhibits tremendous antigenic variation, both within single infections and across the parasite population, and variant-specific exposure is a strong predictor of future responses.
Public health campaigns attempt to drive the effective reproduction number close to unity.
This paper presents an algorithm to form heterosexual relationships of a desired joint age–mixing distribution. It includes control of the rates at which individuals seek new relationshi