抽象的

Logistic Formula in Biology and Its Application to COVID-19 in Japan

Akira Kokado,Takesi Saito

A logistic formula in biology is applied to analyze the second and third waves of COVID-19 in Japan. We follow the observation that the removed number R(t) in the SIR model behaves like the population in biology. The logistic formula for R(t) is applied to predict the peaked date of infectious number and its total removed number for each wave.

The second wave started from July 20, 2020, and peaked at Aug 17 with its total removed number 22536 ± 568. The third wave started from Oct 11, 2020, and peaked at Jan 17 with its total removed number 175165 ± 1657. These calculated values agree well with actual data.

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哥白尼索引
谷歌学术
学术期刊数据库
打开 J 门
Genamics 期刊搜索
学术钥匙
研究圣经
全球影响因子 (GIF)
引用因子
宇宙IF
电子期刊图书馆
学者指导
国际创新期刊影响因子(IIJIF)
国际组织研究所 (I2OR)
宇宙
日内瓦医学教育与研究基金会
秘密搜索引擎实验室

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