Switching Logistic Maps to Design Cycling Approaches Against Antimicrobial Resistance
60th IEEE Conference on Decision and Control (CDC)
; : 4248-4253, 2021.
Article
in English
| Web of Science | ID: covidwho-1868536
ABSTRACT
Antimicrobial resistance is a major threat to global health, in particular, new SARS-CoV-2 variants during the COVID-19 pandemic. Scheduling cycling therapies by targeting phenotypic states associated with specific mutations can help us to eradicate pathogenic variants. In this paper, we introduce a logistic switching model to mutation networks of collateral resistance. We found conditions for which the unstable zero-equilibrium of the logistic maps can be stabilized through a switching signal. That is, persistent populations can be eradicated through tailored switching regimes. Starting from an optimal-control formulation, the switching policies show their potential in the stabilization of the zero-equilibrium for dynamics governed by logistic maps. Simulation results show the applicability of Parrondo's Paradox to design cycling therapies against drug resistance.
Full text:
Available
Collection:
Databases of international organizations
Database:
Web of Science
Language:
English
Journal:
60th IEEE Conference on Decision and Control (CDC)
Year:
2021
Document Type:
Article
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