OPTIMAL STRATEGIES FOR VIRUS PROPAGATION
Soumya Banerjee
University of New Mexico, Department of Computer Science Ronin INstitute Complex Biological Systems Alliance Broad Institute of MIT and Harvard Received: 25th April 2023. ABSTRACT This article explores a number of questions regarding optimal strategies evolved by viruses upon entry into a vertebrate
host. The infected cell life cycle consists of a non-productively infected stage in which it is producing virions but not releasing them and of a
productively infected stage in which it is just releasing virions. The study explores why the infected cell cycle should be so delineated, something
which is akin to a classic “bang-bang control” or all-or-none principle. The times spent in each of these stages represent a viral strategy to optimize
peak viral load. Increasing the time spent in the non productively infected phase (τ1) would lead to a concomitant increase in peak viremia. However
increasing this time would also invite a more vigorous response from Cytotoxic T-Lymphocytes. Simultaneously, if there is a vigorous antibody response,
then we might expect τ1 to be high, in order that the virus builds up its population and conversely if there is a weak antibody response, τ1 might be
small. These trade-offs are explored using a mathematical model of virus propagation using Ordinary Differential Equations. The study raises questions
about whether common viruses have actually settled into an optimum, the role for reliability and whether experimental infections of hosts with
non-endemic strains could help elicit answers about viral progression. KEY WORDS CLASSIFICATION
Albuquerque, The United States of America
Montclair, The United States of America
Medford, The United States of America
Cambridge, The United States of America
INDECS 21(6), 623-630, 2023
DOI 10.7906/indecs.21.6.7
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Accepted: 25th June 2023.
Regular article
viral dynamics, optimization, bang-bang control, viral strategies, optimal control theory
JEL: I19