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Optimizing the Efficiency, Vulnerability and Robustness of Road-Based Para-Transit Networks Using Genetic Algorithm Read chapter Read first chapter

2018 | OriginalPaper | Chapter

Understanding Malaria Induced Red Blood Cell Deformation Using Data-Driven Lattice Boltzmann Simulations

Authors : Joey Sing Yee Tan, Gábor Závodszky, Peter M. A. Sloot

Published in: Computational Science – ICCS 2018

Publisher: Springer International Publishing

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Abstract

Malaria remains a deadly disease that affected millions of people in 2016. Among the five Plasmodium (P.) parasites which contribute to malaria diseases in humans. P. falciparum is a lethal one which is responsible for the majority of the world-wide-malaria-related deaths. Since the banana-shaped stage V gametocytes play a crucial role in disease transmission, understanding the deformation of single stage V gametocytes may offer deeper insights into the development of the disease and provide possible targets for new treatment methods. In this study we used lattice Boltzmann-based simulations to investigate the effects of the stretching forces acting on infected red blood cells inside a slit-flow cytometer. The parameters that represent the cellular deformability of healthy and malaria infected red blood cells are chosen such that they mimic the deformability of these cells in a slit-flow cytometer. The simulation results show good agreement with experimental data and allow for studying the transportation of malaria infected red blood cell in blood circulation.

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Metadata
Title
Understanding Malaria Induced Red Blood Cell Deformation Using Data-Driven Lattice Boltzmann Simulations
Authors
Joey Sing Yee Tan
Gábor Závodszky
Peter M. A. Sloot
Copyright Year
2018
Book
Computational Science – ICCS 2018

Print ISBN: 978-3-319-93697-0

Electronic ISBN: 978-3-319-93698-7

Copyright Year: 2018

DOI
https://doi.org/10.1007/978-3-319-93698-7_30

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