Beijing International Center for Mathematical Research, Peking University, Beijing, 100871, China.
School of Mathematical Sciences, Peking University, Beijing, 100871, China.
Infect Dis Poverty. 2020 Jun 18;9(1):69. doi: 10.1186/s40249-020-00693-4.
The outbreak of coronavirus disease 2019 (COVID-19) has become a pandemic causing global health problem. We provide estimates of the daily trend in the size of the epidemic in Wuhan based on detailed information of 10 940 confirmed cases outside Hubei province.
In this modelling study, we first estimate the epidemic size in Wuhan from 10 January to 5 April 2020 with a newly proposed model, based on the confirmed cases outside Hubei province that left Wuhan by 23 January 2020 retrieved from official websites of provincial and municipal health commissions. Since some confirmed cases have no information on whether they visited Wuhan before, we adjust for these missing values. We then calculate the reporting rate in Wuhan from 20 January to 5 April 2020. Finally, we estimate the date when the first infected case occurred in Wuhan.
We estimate the number of cases that should be reported in Wuhan by 10 January 2020, as 3229 (95% confidence interval [CI]: 3139-3321) and 51 273 (95% CI: 49 844-52 734) by 5 April 2020. The reporting rate has grown rapidly from 1.5% (95% CI: 1.5-1.6%) on 20 January 2020, to 39.1% (95% CI: 38.0-40.2%) on 11 February 2020, and increased to 71.4% (95% CI: 69.4-73.4%) on 13 February 2020, and reaches 97.6% (95% CI: 94.8-100.3%) on 5 April 2020. The date of first infection is estimated as 30 November 2019.
In the early stage of COVID-19 outbreak, the testing capacity of Wuhan was insufficient. Clinical diagnosis could be a good complement to the method of confirmation at that time. The reporting rate is very close to 100% now and there are very few cases since 17 March 2020, which might suggest that Wuhan is able to accommodate all patients and the epidemic has been controlled.
2019 年冠状病毒病(COVID-19)的爆发已成为全球健康问题。我们根据湖北省以外的 10940 例确诊病例的详细信息,提供了对武汉市疫情规模的每日趋势的估计。
在这项建模研究中,我们首先根据 2020 年 1 月 23 日之前从省级和市级卫生委员会官方网站检索到的离开武汉的湖北省以外的确诊病例,使用新提出的模型估算 2020 年 1 月 10 日至 4 月 5 日期间武汉市的疫情规模。由于某些确诊病例没有关于他们在前往武汉之前是否有就诊的信息,因此我们对此类缺失值进行了调整。然后,我们计算了 2020 年 1 月 20 日至 4 月 5 日期间武汉市的报告率。最后,我们估计了武汉市首例感染病例发生的日期。
我们估计 2020 年 1 月 10 日应报告的病例数为 3229 例(95%置信区间[CI]:3139-3321)和 51273 例(95%CI:49844-52734)至 2020 年 4 月 5 日。报告率从 2020 年 1 月 20 日的 1.5%(95%CI:1.5-1.6%)迅速增长到 2020 年 2 月 11 日的 39.1%(95%CI:38.0-40.2%),并在 2020 年 2 月 13 日增加到 71.4%(95%CI:69.4-73.4%),并在 2020 年 4 月 5 日达到 97.6%(95%CI:94.8-100.3%)。首次感染的日期估计为 2019 年 11 月 30 日。
在 COVID-19 爆发的早期,武汉市的检测能力不足。临床诊断可能是当时确诊方法的良好补充。现在报告率非常接近 100%,并且自 2020 年 3 月 17 日以来病例很少,这可能表明武汉市能够容纳所有患者,疫情已得到控制。