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Statistical analysis of Covid-19 mortality rate via probability distributions.

Authors :
Farooq, Muhammad
Ijaz, Muhammad
Atif, Muhammad
Abushal, Tahani
El-Morshedy, Mahmoud
Source :
PLoS ONE; 10/27/2022, Vol. 17 Issue 10, p1-15, 15p
Publication Year :
2022

Abstract

Among other diseases, Covid 19 creates a critical situation around the world. Five layers have been recorded so far, resulting in the loss of millions of lives in different countries. The virus was thought to be contagious, so the government initially severely forced citizens to keep a distance from each other. Since then, several vaccines have been developed that play an important role in controlling mortality. In the case of Covid-19 mortality, the government should be forced to take significant steps in the form of lockdown, keeping you away or forcing citizens to vaccinate. In this paper, modeling of Covid-19 death rates is discussed via probability distributions. To delineate the performance of the best fitted model, the mortality rate of Pakistan and Afghanistan is considered. Numerical results conclude that the NFW model can be used to predict the mortality rate for Covid-19 patients more accurately than other probability models. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
19326203
Volume :
17
Issue :
10
Database :
Complementary Index
Journal :
PLoS ONE
Publication Type :
Academic Journal
Accession number :
159892044
Full Text :
https://doi.org/10.1371/journal.pone.0274133