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Statistical analysis of Covid-19 mortality rate via probability distributions

Author

Listed:
  • Muhammad Farooq
  • Muhammad Ijaz
  • Muhammad Atif
  • Tahani Abushal
  • Mahmoud El-Morshedy

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.

Suggested Citation

  • Muhammad Farooq & Muhammad Ijaz & Muhammad Atif & Tahani Abushal & Mahmoud El-Morshedy, 2022. "Statistical analysis of Covid-19 mortality rate via probability distributions," PLOS ONE, Public Library of Science, vol. 17(10), pages 1-15, October.
    • Handle: RePEc:plo:pone00:0274133
    DOI: 10.1371/journal.pone.0274133
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