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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.
  • Qu HQ; Center for Applied Genomics, The Children's Hospital of Philadelphia, Philadelphia, PA, United States.
  • Cheng ZJ; Center for Applied Genomics, The Children's Hospital of Philadelphia, Philadelphia, PA, United States.
  • Duan Z; Department of Radiation Oncology, Sun Yat-sen University Cancer Center, Guangzhou, China.
  • Tian L; Center for Applied Genomics, The Children's Hospital of Philadelphia, Philadelphia, PA, United States.
  • Hakonarson H; Institute of Allergy and Immunology, School of Medicine, Shenzhen University, Shenzhen, China.
J Med Internet Res ; 22(8): e20914, 2020 08 14.
Article Dans Anglais | MEDLINE | ID: covidwho-736597
ABSTRACT

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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Texte intégral: Disponible Collection: Bases de données internationales Base de données: MEDLINE Sujet Principal: Pneumopathie virale / Infections à coronavirus / Betacoronavirus Type d'étude: Étude observationnelle Limites du sujet: Humains Pays comme sujet: Asie langue: Anglais Revue: J Med Internet Res Thème du journal: Informatique médicale Année: 2020 Type de document: Article Pays d'affiliation: 20914

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Texte intégral: Disponible Collection: Bases de données internationales Base de données: MEDLINE Sujet Principal: Pneumopathie virale / Infections à coronavirus / Betacoronavirus Type d'étude: Étude observationnelle Limites du sujet: Humains Pays comme sujet: Asie langue: Anglais Revue: J Med Internet Res Thème du journal: Informatique médicale Année: 2020 Type de document: Article Pays d'affiliation: 20914