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The Infection Rate of COVID-19 in Wuhan, China: Combined Analysis of Population Samples

BACKGROUND: The coronavirus disease (COVID-19) pandemic began in Wuhan, China, in December 2019. Wuhan had a much higher mortality rate than the rest of China. However, a large number of asymptomatic infections in Wuhan may have never been diagnosed, contributing to an overestimated mortality rate....

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Autores principales: Qu, Hui-Qi, Cheng, Zhangkai Jason, Duan, Zhifeng, Tian, Lifeng, Hakonarson, Hakon
Formato: Online Artículo Texto
Lenguaje:English
Publicado: JMIR Publications 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7434417/
https://www.ncbi.nlm.nih.gov/pubmed/32707538
http://dx.doi.org/10.2196/20914
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author Qu, Hui-Qi
Cheng, Zhangkai Jason
Duan, Zhifeng
Tian, Lifeng
Hakonarson, Hakon
author_facet Qu, Hui-Qi
Cheng, Zhangkai Jason
Duan, Zhifeng
Tian, Lifeng
Hakonarson, Hakon
author_sort Qu, Hui-Qi
collection PubMed
description BACKGROUND: The coronavirus disease (COVID-19) pandemic began in Wuhan, China, in December 2019. Wuhan had a much higher mortality rate than the rest of China. However, a large number of asymptomatic infections in Wuhan may have never been diagnosed, contributing to an overestimated mortality rate. OBJECTIVE: This study aims to obtain an accurate estimate of infections in Wuhan using internet data. METHODS: In this study, we performed a combined analysis of the infection rate among evacuated foreign citizens to estimate the infection rate in Wuhan in late January and early February. RESULTS: Based on our analysis, the combined infection rate of the foreign evacuees was 0.013 (95% CI 0.008-0.022). Therefore, we estimate the number of infected people in Wuhan to be 143,000 (range 88,000-242,000), which is significantly higher than previous estimates. Our study indicates that a large number of infections in Wuhan were not diagnosed, which has resulted in an overestimated case fatality rate. CONCLUSIONS: Increased awareness of the original infection rate of Wuhan is critical for proper public health measures at all levels, as well as to eliminate panic caused by overestimated mortality rates that may bias health policy actions by the authorities.
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spelling pubmed-74344172020-10-15 The Infection Rate of COVID-19 in Wuhan, China: Combined Analysis of Population Samples Qu, Hui-Qi Cheng, Zhangkai Jason Duan, Zhifeng Tian, Lifeng Hakonarson, Hakon J Med Internet Res Original Paper BACKGROUND: The coronavirus disease (COVID-19) pandemic began in Wuhan, China, in December 2019. Wuhan had a much higher mortality rate than the rest of China. However, a large number of asymptomatic infections in Wuhan may have never been diagnosed, contributing to an overestimated mortality rate. OBJECTIVE: This study aims to obtain an accurate estimate of infections in Wuhan using internet data. METHODS: In this study, we performed a combined analysis of the infection rate among evacuated foreign citizens to estimate the infection rate in Wuhan in late January and early February. RESULTS: Based on our analysis, the combined infection rate of the foreign evacuees was 0.013 (95% CI 0.008-0.022). Therefore, we estimate the number of infected people in Wuhan to be 143,000 (range 88,000-242,000), which is significantly higher than previous estimates. Our study indicates that a large number of infections in Wuhan were not diagnosed, which has resulted in an overestimated case fatality rate. CONCLUSIONS: Increased awareness of the original infection rate of Wuhan is critical for proper public health measures at all levels, as well as to eliminate panic caused by overestimated mortality rates that may bias health policy actions by the authorities. JMIR Publications 2020-08-14 /pmc/articles/PMC7434417/ /pubmed/32707538 http://dx.doi.org/10.2196/20914 Text en ©Hui-Qi Qu, Zhangkai Jason Cheng, Zhifeng Duan, Lifeng Tian, Hakon Hakonarson. Originally published in the Journal of Medical Internet Research (http://www.jmir.org), 14.08.2020. https://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work, first published in the Journal of Medical Internet Research, is properly cited. The complete bibliographic information, a link to the original publication on http://www.jmir.org/, as well as this copyright and license information must be included.
spellingShingle Original Paper
Qu, Hui-Qi
Cheng, Zhangkai Jason
Duan, Zhifeng
Tian, Lifeng
Hakonarson, Hakon
The Infection Rate of COVID-19 in Wuhan, China: Combined Analysis of Population Samples
title The Infection Rate of COVID-19 in Wuhan, China: Combined Analysis of Population Samples
title_full The Infection Rate of COVID-19 in Wuhan, China: Combined Analysis of Population Samples
title_fullStr The Infection Rate of COVID-19 in Wuhan, China: Combined Analysis of Population Samples
title_full_unstemmed The Infection Rate of COVID-19 in Wuhan, China: Combined Analysis of Population Samples
title_short The Infection Rate of COVID-19 in Wuhan, China: Combined Analysis of Population Samples
title_sort infection rate of covid-19 in wuhan, china: combined analysis of population samples
topic Original Paper
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7434417/
https://www.ncbi.nlm.nih.gov/pubmed/32707538
http://dx.doi.org/10.2196/20914
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