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A Mathematical model for the Pattern of COVID-19 Post-Vaccination Mortality and Excess Mortality

##article.authors##

  • Takashi Nakamura Institute of Liberal Arts and Sciences, Tokyo University of Science

DOI:

https://doi.org/10.51094/jxiv.352

Keywords:

Erlang distribution, Excess Mortality, Model for the pattern of COVID-19 post-vaccination mortality

Abstract

Using the Erlang distribution, this article gives a mathematical model for the pattern of post-vaccination mortality and discusses excess mortality based on this model.

Conflicts of Interest Disclosure

The authors have no conflicts of interest directly relevant to the content of this article.

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References

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Wikipedia, Erlang distribution, https://en.wikipedia.org/wiki/Erlang_distribution

Wikipedia, Exponential distribution, https://en.wikipedia.org/wiki/Exponential_distribution

Wikipedia, Law of large numbers, https://en.wikipedia.org/wiki/Law_of_large_numbers

Wikipedia, Stirling's approximation, https://en.wikipedia.org/wiki/Stirling's_approximation

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Submitted: 2023-04-05 05:03:56 UTC

Published: 2023-04-06 02:49:10 UTC — Updated on 2023-08-01 01:36:19 UTC

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Reason(s) for revision

Section 2 is added. Some sentences are added.
Section
Biology, Life Sciences & Basic Medicine