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About Malaria

Computational Biology

  • Fernando Pineda and his group apply Mathematics, Statistics and High- Performance Computing to collaboratively solve a wide range of problems that are important for understanding and controlling Malaria.

    For example, with the Carruthers Lab, we developed a mathematical model of T. Gondii host cell invasion and used data from synchronized invasion experiments to estimate rates of attachment, detachment, penetration and invasion. With the Norris lab we recently developed a model describing PCR detections of microsatellites in mosquito blood meals. The model allows MRI investigators to accurately estimate the rate with which mosquitoes feed on multiple humans, which in turn determines the entomological inoculation rate (EIR).

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