SEISAN KENKYU
Online ISSN : 1881-2058
Print ISSN : 0037-105X
ISSN-L : 0037-105X
Research Flash
Characteristic feature in COVID-19 statistics in China
Hiroshi TOSHIYOSHILang CAOKazuyuki AIHARA
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JOURNAL FREE ACCESS

2020 Volume 72 Issue 2 Pages 139-140

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Abstract

Timeline statistics of the accumulated total counts of the deceased and infected with COVID-19 in China from January through March 2020 has revealed a characteristic feature in the transitional lethal rate (accumulated total count of the dead divided by the accumulated total count of confirmed infection) that has a temporally local minimum sometime eight day before the appearance of the peak of the fatality. Such a characteristic is also found in the theoretical model that uses fitting sigmoid functions.

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© 2020 Institute of Industrial Science The University of Tokyo
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