University of Illinois Urbana-Champaign

A simple coarse-grained model to predict infectious disease outbreak statistics and the consequences of glycolysis inhibition on cell junction mechanics

Schwarz, Gregory Joseph

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https://hdl.handle.net/2142/127210

Description

Title
A simple coarse-grained model to predict infectious disease outbreak statistics and the consequences of glycolysis inhibition on cell junction mechanics
Author(s)
Schwarz, Gregory Joseph
Issue Date
2024-12-04
Director of Research (if dissertation) or Advisor (if thesis)
Dahmen, Karin
Doctoral Committee Chair(s)
Chemla, Yann
Committee Member(s)
  • Gruebele, Martin
  • Kim, Sangjin
Department of Study
School of Molecular & Cell Bio
Discipline
Biophysics & Quant Biology
Degree Granting Institution
University of Illinois at Urbana-Champaign
Degree Name
Ph.D.
Degree Level
Dissertation
Keyword(s)
  • mechanobiology
  • actin, traction force
  • junction tension
  • avalanche
  • mean field theory
Abstract
Preventative medicine is the best way to keep individuals healthy and the cost of healthcare down. Thus, time and resources can be allocated elsewhere in the medical field if it is possible to prevent ailments that can be used for unpreventable outcomes. Sadly, viral infections are inevitable but occur randomly over a single lifetime. However, when averaging over a larger population, the long-term projected effects of viral infections can be conjectured. Thus, a deeper understanding of stochastic processes and systems can be helpful for diagnostic medicine and virology. This dissertation first highlights the effects of vascular viral infections have on tissue permeability in lung capillaries due to cell’s mechanical ineptitudes when deprived of ATP in Chapter I. Then, it focuses on a statistical mean field model of host population dynamics in Chapter II. Chapter III focuses on the statistics of viral and host population dynamics from Lotka-Volterra differential equations, and the application of the model with global disease statistics. Finally, Chapter IV highlights how the flu and COVID-19 fit the model in Chapter II.
Graduation Semester
2024-12
Type of Resource
Thesis
Handle URL
https://hdl.handle.net/2142/127210
Copyright and License Information
Copyright 2024 Gregory Schwarz

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