An algorithm for the robust estimation of the COVID-19 pandemic's population by considering undetected individuals.

DOI10.1016/j.amc.2021.126273OpenAlexW3155068543MaRDI QIDQ2243259

Juan Pablo Flores-Flores, Rafael Martínez-Guerra

Publication date: 11 November 2021

Published in: Applied Mathematics and Computation (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.amc.2021.126273

zbMATH Keywords

COVID-19 pandemica-SIR modelasymptomatic individuals estimationmodel-free estimation algorithm

Mathematics Subject Classification ID

Biology and other natural sciences (92-XX) Genetics and population dynamics (92Dxx)

Related Items (1)

Dynamic analysis of pandemic cross-regional transmission considering quarantine strategies in the context of limited medical resources

Cites Work

• Algebraic and differential methods for nonlinear control theory. Elements of commutative algebra and algebraic geometry
• Dynamics of COVID-19 mathematical model with stochastic perturbation
• A fractional order mathematical model for COVID-19 dynamics with quarantine, isolation, and environmental viral load
• Mathematical modeling of the spread of the coronavirus disease 2019 (COVID-19) taking into account the undetected infections. The case of China
• Synchronization of integral and fractional order chaotic systems. A differential algebraic and differential geometric approach with selected applications in real-time
• PI observer design for a class of nondifferentially flat systems
• Continuous state feedback guaranteeing uniform ultimate boundedness for uncertain dynamic systems

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