This paper is concerned to a mathematical model for the management of hospital beds when a new infection emerges in the population with the existing infections. The study of this joint dynamics presents formidable mathematical challenges due to a limited number of hospital beds. We have derived the invasion reproduction number, which investigates the potential of a newly emerged infectious disease to persist when some infectious diseases are already invaded the host population. We have shown that the proposed system exhibits transcritical, saddle-node, Hopf, and Bogdanov–Takens bifurcations under certain conditions. We have also shown that the total number of infected individuals may increase if the fraction of the total number of hospital beds is not properly allotted to the existing and a newly emerged infectious disease. The analytically obtained results are verified with the help of numerical simulations.
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April 2023
Research Article|
April 12 2023
Allocation of hospital beds on the emergence of new infectious disease: A mathematical model
A. K. Misra
;
A. K. Misra
a)
(Conceptualization, Methodology, Supervision, Validation, Writing – original draft, Writing – review & editing)
Department of Mathematics, Institute of Science, Banaras Hindu University
, Varanasi, Uttar Pradesh 221005, India
a)Author to whom correspondence should be addressed: akmisra_knp@yahoo.com
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Jyoti Maurya
Jyoti Maurya
(Conceptualization, Formal analysis, Methodology, Validation, Writing – original draft, Writing – review & editing)
Department of Mathematics, Institute of Science, Banaras Hindu University
, Varanasi, Uttar Pradesh 221005, India
Search for other works by this author on:
a)Author to whom correspondence should be addressed: akmisra_knp@yahoo.com
Chaos 33, 043125 (2023)
Article history
Received:
November 05 2022
Accepted:
March 24 2023
Citation
A. K. Misra, Jyoti Maurya; Allocation of hospital beds on the emergence of new infectious disease: A mathematical model. Chaos 1 April 2023; 33 (4): 043125. https://doi.org/10.1063/5.0133703
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