{"id":{"repo_id":"uiuc","oai_identifier":"oai:www.ideals.illinois.edu:2142/127210"},"canonical_url":"https://search.dev.ndltd.org/etd/uiuc/oai:www.ideals.illinois.edu:2142/127210","repository":{"repo_id":"uiuc","name":"University of Illinois - Urbana-Champaign","base_url":"https://www.ideals.illinois.edu/oai-pmh"},"display":{"title":"A simple coarse-grained model to predict infectious disease outbreak statistics and the consequences of glycolysis inhibition on cell junction mechanics","abstract":"Submission original under an indefinite embargo labeled 'Open Access'. The submission was exported from vireo on 2025-03-28 without embargo terms","abstract_html":"Submission original under an indefinite embargo labeled 'Open Access'. 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The submission was exported from vireo on 2025-03-28 without embargo terms","The student, Gregory Schwarz, accepted the attached license on 2024-11-27 at 01:46.","The student, Gregory Schwarz, submitted this Dissertation for approval on 2024-11-27 at 11:26.","This Dissertation was approved for publication on 2024-12-04 at 17:36.","DSpace SAF Submission Ingestion Package generated from Vireo submission #21363 on 2025-03-28 at 14:26:01","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."]},{"key":"dc:format","label":"Dc Format","values":["application/pdf"]},{"key":"dc:title","label":"Title","values":["A simple coarse-grained model to predict infectious disease outbreak statistics and the consequences of glycolysis inhibition on cell junction mechanics"]}]}],"canonical_facts":{"dc:contributor":["Dahmen, Karin","Chemla, Yann","Gruebele, Martin","Kim, Sangjin"],"dc:creator":["Schwarz, Gregory Joseph"],"dc:date":["2024-12-04","2024-12"],"dc:description":["Submission original under an indefinite embargo labeled 'Open Access'. The submission was exported from vireo on 2025-03-28 without embargo terms","The student, Gregory Schwarz, accepted the attached license on 2024-11-27 at 01:46.","The student, Gregory Schwarz, submitted this Dissertation for approval on 2024-11-27 at 11:26.","This Dissertation was approved for publication on 2024-12-04 at 17:36.","DSpace SAF Submission Ingestion Package generated from Vireo submission #21363 on 2025-03-28 at 14:26:01","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."],"dc:format":["application/pdf"],"dc:identifier":["https://hdl.handle.net/2142/127210"],"dc:language":["en","eng"],"dc:rights":["Copyright 2024 Gregory Schwarz"],"dc:subject":["Mechanobiology","Actin, Traction Force","Junction Tension","Avalanche","Mean Field Theory"],"dc:title":["A simple coarse-grained model to predict infectious disease outbreak statistics and the consequences of glycolysis inhibition on cell junction mechanics"],"dc:type":["text","Thesis"],"thesis:degree_discipline":["Biophysics & Quant Biology"],"thesis:degree_level":["Dissertation"],"thesis:degree_name":["Ph.D."],"thesis:institution_name":["University of Illinois at Urbana-Champaign"]},"updated_at":"2026-07-22T22:25:03Z"}