We derived an ordinary differential equation model to capture the disease dynamics during blood-stage malaria. The model was directly derived from an earlier age-structured partial differential equation model. The original model was simplified due to the experimental constraint . Here we calibrated the simplified model with experimental data using  multiple objective genetic algorithm. Through the calibration process, we quantified the removal of healthy red blood cells and  the preferential infection of reticulocytes during Plamodium cynomolgi infection of Macaca mulatta. The calibration of our model also revealed the existence of host erythropoietic response prior to blood stage infection.
We derived an ordinary differential equation model to capture the disease dynamics during blood-stage malaria. The model was directly derived from an earlier age-structured partial differential equation model. The original model was simplified due to experimental constraints . Here we calibrated the simplified model with experimental data using a multiple objective genetic algorithm. Through the calibration process, we quantified the removal of healthy red blood cells and the the preferential infection of reticulocytes during Plamodium cynomolgi infection of Macaca mulatta. The calibration of our model also revealed the existence of host erythropoietic response prior to blood stage infection.
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the experimental constraint
experimental constraints
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