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Since the original Ross–Macdonald formulations of vector-borne disease transmission, there has been a broad proliferation of mathematical models of vector-borne disease,
Traditional methods for estimating malaria transmission based on mosquito sampling are not standardized and are unavailable in many countries in sub-Saharan Africa.
Antimalarial drugs are a powerful tool for malaria control and elimination.
A pre-erythrocytic vaccine could provide a useful tool for burden reduction and eventual eradication of malaria.
Mathematical models are a helpful tool for testing assumptions and elucidating the quantitative implications of disease features.
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 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
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.