A Mathematical model for the Pattern of COVID-19 Post-Vaccination Mortality
DOI:
https://doi.org/10.51094/jxiv.352Keywords:
Erlang distribution, Model for the pattern of COVID-19 post-vaccination mortalityAbstract
In this article, we give a mathematical model for the pattern of post-vaccination mortality by using the Erlang distribution.
Conflicts of Interest Disclosure
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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 2023-11-20 00:21:09 UTC
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Reason(s) for revision
The title is changed. Papers and data related to Chapter 5 are being published, but compared to the data treated in Chapter 3, the quantity and quality are insufficient at this time. Thus, Chapter 5 has been deleted. As soon as sufficient data and papers are published, we plan to compile them and write a new paper.License
Copyright (c) 2023
Takashi Nakamura
This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.
