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Big System Failure: A Queuing Theory Model to provide Oxygen to a COVID Infected Person during COVID- 19 Pandemic
Author(s) -
Umesh Sharma
Publication year - 2021
Publication title -
international journal for research in applied science and engineering technology
Language(s) - English
Resource type - Journals
ISSN - 2321-9653
DOI - 10.22214/ijraset.2021.34852
Subject(s) - covid-19 , pandemic , government (linguistics) , server , queueing theory , computer science , service (business) , business , medical emergency , operations research , virology , medicine , engineering , computer network , linguistics , philosophy , disease , pathology , outbreak , infectious disease (medical specialty) , marketing
This paper describes the methodology designed to maximize the service of medical system in hospitals. We apply the result of queuing theory to find maximum number of servers served by hospital authorities to provide oxygen. Too much waiting may be fatal to a critical patient and it may leads to increase the mortality rate than expected further a serious situation for Government and Medical authorities.

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