Mathematical modelling of fighting current pandemic-using finite source retrial queues

Nidhi Sharma, Pradeep K Joshi, R.K. Sharma, Pragya Shukla

Abstract


In this paper, we prefer to implement a retrial queueing contraption with a finite number of homogeneous sources for covid-19 patients, orbital requests for the care, and unstable orbit, driven by the wish for overall output models suitable for modelling and study of covid-19 patients. Day by day pandemic situation in India is more critical, patients are facing the unavailable of treatment resources so they are automatically switched into the orbit mode. Data is taken from the ICMR website, Dated: Sep 21, 2020. It is believed that all random patients who are concerned with seeking care are impartial and exponentially distributed. Regular-state analysis of the underlying continuous-time Markov process is performed victimization Time NET package constant state performance measurements are computed by providing a generalized pandemic random Petri net model. The implementation of an unstable orbit and its use in a pandemic situation is the main novelty. Numerical derivation to explain the death/ recovery time effect.


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Published: 2020-12-18

How to Cite this Article:

Nidhi Sharma, Pradeep K Joshi, R.K. Sharma, Pragya Shukla, Mathematical modelling of fighting current pandemic-using finite source retrial queues, J. Math. Comput. Sci., 11 (2021), 563-576

Copyright © 2021 Nidhi Sharma, Pradeep K Joshi, R.K. Sharma, Pragya Shukla. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

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