Identification and control of SARS-CoV-2 epidemic model parameters
Gabriela Marinoschi

TL;DR
This paper develops a mathematical model for SARS-CoV-2 transmission, identifies key parameters from data, and proposes optimal control strategies to minimize infection spread and enhance isolation efforts.
Contribution
It introduces a novel five-compartment model with inverse problem formulation and optimal control techniques, including singular dual systems, for COVID-19 epidemic management.
Findings
Successful identification of initial undetected cases and transmission rate.
Proof of existence and characterization of optimal control solutions.
Demonstration of disease extinction under certain stability conditions.
Abstract
We propose a mathematical model with five compartments for the SARS-CoV-2 transmission: susceptible , undetected infected asymptomatic , undetected infected symptomatic , confirmed positive and isolated , and recovered , for which we have a twofold objective. First, we formulate and solve an inverse problem focusing mainly on the identification of the values and of the undetected asymptomatic and symptomatic individuals, at a time , by available measurements of the isolated and recovered individuals at two succeeding times, and Simultaneously, we identify the rate standing for the average number of individuals infected in unit time by an infective symptomatic individual. Then, we propose a control problem aiming at controlling the infected classes by improving the actions in view of isolating as much as possible the…
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Taxonomy
TopicsCOVID-19 epidemiological studies · SARS-CoV-2 and COVID-19 Research · Mathematical and Theoretical Epidemiology and Ecology Models
