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Asymptomatic Carrier State as a Measure of Information Uncertainty of the Novel Coronavirus Infection

Authors :
Andrey Bondoevich Kiladze
Source :
JLUMHS, Vol 20, Iss 1, Pp 68-70 (2021)
Publication Year :
2021
Publisher :
Liaquat University of Medical and Health Sciences, 2021.

Abstract

This case report describes entropy based on statistics of the novel coronavirus infection in the Russian Federation. Entropy (in bits) determined on the basis of the ratio of patients with clinical manifestations of the disease and asymptomatic carrier state, increased from 0.7219 by April 1, 2020, when the ratio of such patients was 4/5 to 1/5, to 0.8813 by April 14, 2020, when the ratio of the two groups of patients was 7/10 to 3/10. On May 3, 2020, the ratio of the two groups leveled off, reaching ½ to ½, so the entropy was 1.0000. An analysis of the data from April 19, 2020 to June 1, 2020 allowed us to clarify the average proportion between patients with and without symptoms, which is 14/25 to 11/25 with a certain bias towards patients with clinical manifestations of the novel coronavirus infection, and the entropy for this ratio is 0.9896. We found a transformation of entropy of the novel coronavirus infection which is explained by different proportions of patients with and without symptoms of the disease.

Details

Language :
English
ISSN :
17290341 and 23098627
Volume :
20
Issue :
1
Database :
Directory of Open Access Journals
Journal :
JLUMHS
Publication Type :
Academic Journal
Accession number :
edsdoj.20661b3139274b11b17377ae08d7c141
Document Type :
article
Full Text :
https://doi.org/10.22442/jlumhs.2021.00766