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Threshold conditions for global stability of disease free state of COVID-19
Author(s) -
Muhammad Zamir,
Kamal Shah,
Fawad Nadeem,
Mohd Yazid Bajuri,
Ali Ahmadian,
Soheil Salahshour,
Массимилиано Феррара
Publication year - 2021
Publication title -
results in physics
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.743
H-Index - 56
ISSN - 2211-3797
DOI - 10.1016/j.rinp.2020.103784
Subject(s) - covid-19 , stability (learning theory) , matlab , sensitivity (control systems) , basic reproduction number , transmission (telecommunications) , control theory (sociology) , focus (optics) , state (computer science) , disease , mathematics , control (management) , computer science , virology , medicine , physics , engineering , artificial intelligence , algorithm , infectious disease (medical specialty) , optics , environmental health , population , electronic engineering , telecommunications , machine learning , outbreak , operating system
This article focus the elimination and control of the infection caused by COVID-19. Mathematical model of the disease is formulated. With help of sensitivity analysis of the reproduction number the most sensitive parameters regarding transmission of infection are found. Consequently strategies for the control of infection are proposed. Threshold condition for global stability of the disease free state is investigated. Finally, using Matlab numerical simulations are produced for validation of theocratical results.

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