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In many countries health system data remain too weak to accurately enumerate Plasmodium falciparum malaria cases.
In a longitudinal malaria research study, we found that low-density infections were common and primarily contribute to onward malaria transmission in a high and seasonal transmission setting.
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.