Mathematical Modeling of Immune Responses to Hepatitis C Virus Infection
An existing mathematical model of ordinary differential equations was studied to better understand the interactions between hepatitis C virus (HCV) and the immune system cells in the human body. Three possible qualitative scenarios were explored: dominant CTL response, dominant antibody response, an...
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ndltd-ETSU-oai-dc.etsu.edu-etd-37872019-05-16T04:43:52Z Mathematical Modeling of Immune Responses to Hepatitis C Virus Infection Ramirez, Ivan An existing mathematical model of ordinary differential equations was studied to better understand the interactions between hepatitis C virus (HCV) and the immune system cells in the human body. Three possible qualitative scenarios were explored: dominant CTL response, dominant antibody response, and coexistence. Additionally, a sensitivity analysis was carried out to rank model parameters for each of these scenarios. Therapy was addressed as an optimal control problem. Numerical solutions of optimal controls were computed using a forward-backward sweep scheme for each scenario. Model parameters were estimated using ordinary least squares fitting from longitudinal data (serum HCV RNA measurements) given in reported literature. 2014-12-01T08:00:00Z text application/pdf https://dc.etsu.edu/etd/2425 https://dc.etsu.edu/cgi/viewcontent.cgi?article=3787&context=etd Copyright by the authors. Electronic Theses and Dissertations Digital Commons @ East Tennessee State University hepatitis C virus sensitivity analysis optimal control inverse problem Applied Mathematics Mathematics |
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hepatitis C virus sensitivity analysis optimal control inverse problem Applied Mathematics Mathematics |
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hepatitis C virus sensitivity analysis optimal control inverse problem Applied Mathematics Mathematics Ramirez, Ivan Mathematical Modeling of Immune Responses to Hepatitis C Virus Infection |
description |
An existing mathematical model of ordinary differential equations was studied to better understand the interactions between hepatitis C virus (HCV) and the immune system cells in the human body. Three possible qualitative scenarios were explored: dominant CTL response, dominant antibody response, and coexistence. Additionally, a sensitivity analysis was carried out to rank model parameters for each of these scenarios. Therapy was addressed as an optimal control problem. Numerical solutions of optimal controls were computed using a forward-backward sweep scheme for each scenario. Model parameters were estimated using ordinary least squares fitting from longitudinal data (serum HCV RNA measurements) given in reported literature. |
author |
Ramirez, Ivan |
author_facet |
Ramirez, Ivan |
author_sort |
Ramirez, Ivan |
title |
Mathematical Modeling of Immune Responses to Hepatitis C Virus Infection |
title_short |
Mathematical Modeling of Immune Responses to Hepatitis C Virus Infection |
title_full |
Mathematical Modeling of Immune Responses to Hepatitis C Virus Infection |
title_fullStr |
Mathematical Modeling of Immune Responses to Hepatitis C Virus Infection |
title_full_unstemmed |
Mathematical Modeling of Immune Responses to Hepatitis C Virus Infection |
title_sort |
mathematical modeling of immune responses to hepatitis c virus infection |
publisher |
Digital Commons @ East Tennessee State University |
publishDate |
2014 |
url |
https://dc.etsu.edu/etd/2425 https://dc.etsu.edu/cgi/viewcontent.cgi?article=3787&context=etd |
work_keys_str_mv |
AT ramirezivan mathematicalmodelingofimmuneresponsestohepatitiscvirusinfection |
_version_ |
1719188251422490624 |