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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....
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
JMIR Publications
2020
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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. |
format | Online Article Text |
id | pubmed-7434417 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | JMIR Publications |
record_format | MEDLINE/PubMed |
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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