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Public healthcare system capacity during COVID‐19: A computational case study of SARS‐CoV‐2 by Saikat Batabyal; Arthita Batabyal is a Medicine article available to read on EtoBox.

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## Abstract ## Aim Coronavirus Disease (COVID‐19) is spreading typically to the human population all over the world and the report suggests that scientists have been trying to map the pattern of the early transmission of Severe Acute Respiratory Syndrome Coronavirus 2 (SARS‐CoV‐2) since it has been reported as an epidemic. Our main aim is to show if the rise‐in‐cases proceeds in a gradual and staggered manner instead of soaring quickly then we can suppress the burden of the health system. In this new case study, we are attempting to show how to control the outbreak of the infectious disease COVID‐19 via mathematical modeling. We have examined that the method of flattening the curve of the coronavirus, which increases the recovery rate of the infected individuals and also helps to decrease the number of deaths. In this pandemic situation, the countries like Russia, India, the United States of America (USA), South Africa, and the United Kingdom (UK) are leading in front where the virus is spreading in an unprecedented way. From our point of view, we establish that if these countries are following the method of flattening the curve like China and South Korea then these countries can a

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Author

Saikat Batabyal; Arthita Batabyal

Publisher

Wiley

Published

2021

Language

EN

Field

Medicine (Health Sciences)