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Estimation of the true infection rate and infection fatality rate of coronavirus disease 2019 in each country

The True Infection Rate (TIR) in the whole population of each country and the Infection Fatality Rate (IFR) for coronavirus disease 2019 (COVID-19) are unknown although they are important parameters. We devised a simple method to infer TIR and IFR based on the open data. The prevalence rate of the P...

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Autores principales: Sonoo, Masahiro, Kanbayashi, Takamichi, Shimohata, Takayoshi, Kobayashi, Masahito, Idogawa, Masashi, Hayashi, Hideyuki
Formato: Online Artículo Texto
Lenguaje:English
Publicado: The Author(s). Published by Elsevier Ltd on behalf of King Saud Bin Abdulaziz University for Health Sciences. 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8704731/
https://www.ncbi.nlm.nih.gov/pubmed/34995898
http://dx.doi.org/10.1016/j.jiph.2021.12.010
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author Sonoo, Masahiro
Kanbayashi, Takamichi
Shimohata, Takayoshi
Kobayashi, Masahito
Idogawa, Masashi
Hayashi, Hideyuki
author_facet Sonoo, Masahiro
Kanbayashi, Takamichi
Shimohata, Takayoshi
Kobayashi, Masahito
Idogawa, Masashi
Hayashi, Hideyuki
author_sort Sonoo, Masahiro
collection PubMed
description The True Infection Rate (TIR) in the whole population of each country and the Infection Fatality Rate (IFR) for coronavirus disease 2019 (COVID-19) are unknown although they are important parameters. We devised a simple method to infer TIR and IFR based on the open data. The prevalence rate of the Polymerase Chain Reaction (PCR) tests among the population (Examination Rate; ER) and the positive rate of PCR tests (Infection Rate; IR) for 66 countries were picked up at a website 5 times from April 10th to June 13th, 2020, and the trajectory of each country was drawn over the IR vs. ER plot. IR and ER showed a strong negative correlation for some countries, and TIR was estimated by extrapolating the regression line when the correlation coefficient was between -0.99 and -1. True/Identified Case Ratio (TICR) and IFR were also calculated using the estimated TIR. The estimated TIR well coincided with local antibody surveys. Estimated IFR took on a wide range of values up to 10%: generally high in the Western countries. The estimated IFR of Singapore was very low (0.018%), which may be related to the reported gene mutation causing the attenuation of the viral virulence.
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spelling pubmed-87047312021-12-28 Estimation of the true infection rate and infection fatality rate of coronavirus disease 2019 in each country Sonoo, Masahiro Kanbayashi, Takamichi Shimohata, Takayoshi Kobayashi, Masahito Idogawa, Masashi Hayashi, Hideyuki J Infect Public Health Short Communication The True Infection Rate (TIR) in the whole population of each country and the Infection Fatality Rate (IFR) for coronavirus disease 2019 (COVID-19) are unknown although they are important parameters. We devised a simple method to infer TIR and IFR based on the open data. The prevalence rate of the Polymerase Chain Reaction (PCR) tests among the population (Examination Rate; ER) and the positive rate of PCR tests (Infection Rate; IR) for 66 countries were picked up at a website 5 times from April 10th to June 13th, 2020, and the trajectory of each country was drawn over the IR vs. ER plot. IR and ER showed a strong negative correlation for some countries, and TIR was estimated by extrapolating the regression line when the correlation coefficient was between -0.99 and -1. True/Identified Case Ratio (TICR) and IFR were also calculated using the estimated TIR. The estimated TIR well coincided with local antibody surveys. Estimated IFR took on a wide range of values up to 10%: generally high in the Western countries. The estimated IFR of Singapore was very low (0.018%), which may be related to the reported gene mutation causing the attenuation of the viral virulence. The Author(s). Published by Elsevier Ltd on behalf of King Saud Bin Abdulaziz University for Health Sciences. 2022-02 2021-12-24 /pmc/articles/PMC8704731/ /pubmed/34995898 http://dx.doi.org/10.1016/j.jiph.2021.12.010 Text en © 2021 The Author(s) Since January 2020 Elsevier has created a COVID-19 resource centre with free information in English and Mandarin on the novel coronavirus COVID-19. The COVID-19 resource centre is hosted on Elsevier Connect, the company's public news and information website. Elsevier hereby grants permission to make all its COVID-19-related research that is available on the COVID-19 resource centre - including this research content - immediately available in PubMed Central and other publicly funded repositories, such as the WHO COVID database with rights for unrestricted research re-use and analyses in any form or by any means with acknowledgement of the original source. These permissions are granted for free by Elsevier for as long as the COVID-19 resource centre remains active.
spellingShingle Short Communication
Sonoo, Masahiro
Kanbayashi, Takamichi
Shimohata, Takayoshi
Kobayashi, Masahito
Idogawa, Masashi
Hayashi, Hideyuki
Estimation of the true infection rate and infection fatality rate of coronavirus disease 2019 in each country
title Estimation of the true infection rate and infection fatality rate of coronavirus disease 2019 in each country
title_full Estimation of the true infection rate and infection fatality rate of coronavirus disease 2019 in each country
title_fullStr Estimation of the true infection rate and infection fatality rate of coronavirus disease 2019 in each country
title_full_unstemmed Estimation of the true infection rate and infection fatality rate of coronavirus disease 2019 in each country
title_short Estimation of the true infection rate and infection fatality rate of coronavirus disease 2019 in each country
title_sort estimation of the true infection rate and infection fatality rate of coronavirus disease 2019 in each country
topic Short Communication
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8704731/
https://www.ncbi.nlm.nih.gov/pubmed/34995898
http://dx.doi.org/10.1016/j.jiph.2021.12.010
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