Mathematical modeling of viral infection dynamics and immune response in SARS-CoV-2: A computational framework for testing drug efficacy

Sharma, Surbhi and Saxena, Abha and Chel, Soumita and Mitra, Kishalay and Giri, Lopamudra (2021) Mathematical modeling of viral infection dynamics and immune response in SARS-CoV-2: A computational framework for testing drug efficacy. In: 43rd Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2021, 1 November 2021 through 5 November 2021, Virtual, Online.

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Abstract

SARS-CoV-2 has emerged to cause the outbreak of COVID-19, which has expanded into a worldwide human pandemic. Although detailed experimental data on animal experiments would provide insight into drug efficacy, the scientists involved in these experiments would be exposed to severe risks. In this context, we propose a computational framework for studying infection dynamics that can be used to capture the growth rate of viral replication and lung epithelial cell in presence of SARS-CoV-2. Specifically, we formulate the model consisting of a system of non-linear ODEs that can be used for visualizing the infection dynamics in a cell population considering the role of T cells and Macrophages. The major contribution of the proposed simulation method is to utilize the infection progression model in testing the efficacy of the drugs having various mechanisms and analyzing the effect of time of drug administration on virus clearance.Clinical Relevance - The proposed computational framework incorporates viral infection dynamics and role of immune response in Covid-19 that can be used to test the impact of drug efficacy and time of drug administration on infection mitigation. © 2021 IEEE.

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IITH Creators:

IITH Creators	ORCiD
Mitra, Kishalay	http://orcid.org/0000-0001-5660-6878
Giri, Lopamudra	http://orcid.org/0000-0002-2352-7919

Item Type:

Conference or Workshop Item (Paper)

Additional Information:

Research supported by Indian Institute of Technology Hyderabad, Telangana, India

Uncontrolled Keywords:

Animal experiments; Computational framework; Drug administration; Drug efficacy; Exposed to; Human pandemic; Immune response; Infection dynamics; Viral infections; Viral replication

Subjects:

Chemical Engineering

Divisions:

Department of Chemical Engineering

Depositing User:

. LibTrainee 2021

Date Deposited:

05 Sep 2022 06:21

Last Modified:

05 Sep 2022 06:21

URI:

http://raiithold.iith.ac.in/id/eprint/10415