从贝叶斯定理看猴痘大流行的小死亡概率

H. Nieto-Chaupis
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摘要

为什么在正在进行的猴痘大流行中死亡人数非常低,这个问题可以通过贝叶斯理论来回答,该理论可以从先前的感染概率中预测适用于高风险病例的后验死亡概率。事件发生的概率由扩散方程导出,该方程假定感染以及相关病毒可以沿大陆和洲际国家传播。所得到的概率很小,这一事实支持了获得的扩散系数很大的观点,表明扩散很大,但高风险病例被减弱了。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Small Probability of Fatality from Theorem of Bayes at the Monkeypox Pandemic
Why the number of fatalities is very low at the ongoing Monkeypox pandemic, this question can be answered through the theory of Bayes that would anticipate a posterior probability of fatality that applies to the cases of high risk, from a prior probability of infection. The probability of event is derived from the diffusion equation by which is assumed that the infections as well as the associated virus can flux along the continental and intercontinental countries. The resulting probabilities have been small fact that support the idea that the attained diffusion coefficient is large demonstrating that the diffusion is large but the high risk cases are attenuated.
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