Jump to navigation
This work develops compressive sampling strategies for computing the dynamic mode decomposition (DMD) from heavily subs
To examine forces that drive vaccination policy to eradicate wild- and vaccine-derived poliovirus, and to focus on the efficacy of vaccines to support decision-making and further research, we searc
The difficulty of choosing a strategy for allocating transmission-blocking interventions stems from an incomplete picture of the epidemiological drivers of generalized HIV epidemics, such as the ep
Contact rates tend to increase with density but saturate at higher density.
This article describes IDM's malaria model which combines detailed vector population dynamics that interact with the human population, and a microsimulation for human i
The impact of potential malaria vaccines is studied utilizing IDM's malaria model and EMOD software which couple a detailed description of the vector lifecycle with a comprehensive, mechanistic
Stochastic simulations of reaction-diffusion processes are frequently used for modelling epidemiological processes.
Mathematical models of ART and PrEP have been used to assess the risk of drug resistance on the individual and population level.
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.