Department of Global Health and Population, Harvard T.H. Chan School of Public Health, Boston, MA, USA; Division of Urology, Brigham and Women's Hospital, and Harvard Medical School, Boston, MA, USA.
Department of Pediatrics, Yonsei University College of Medicine, Seoul, Republic of Korea.
Int J Infect Dis. 2020 Nov;100:302-308. doi: 10.1016/j.ijid.2020.08.065. Epub 2020 Sep 1.
Since the outbreak of the coronavirus disease 2019 (COVID-19) in December of 2019 in China, estimating the pandemic's case fatality rate (CFR) has been the focus and interest of many stakeholders. In this manuscript, we prove that the method of using the cumulative CFR is static and does not reflect the trend according to the daily change per unit of time.
A proportion meta-analysis was carried out on the CFR in every country reporting COVID-19 cases. Based on these results, we performed a meta-analysis for a global COVID-19 CFR. Each analysis was performed using two different calculations of CFR: according to the calendar date and according to the days since the outbreak of the first confirmed case. We thus explored an innovative and original calculation of CFR, concurrently based on the date of the first confirmed case as well as on a daily basis.
For the first time, we showed that using meta-analyses according to the calendar date and days since the outbreak of the first confirmed case, were different.
We propose that a CFR according to days since the outbreak of the first confirmed case might be a better predictor of the current CFR of COVID-19 and its kinetics.
自 2019 年 12 月中国爆发 2019 年冠状病毒病(COVID-19)以来,估计大流行的病死率(CFR)一直是许多利益相关者关注和感兴趣的焦点。在本文中,我们证明了使用累积 CFR 的方法是静态的,不能根据每日变化的单位时间反映趋势。
对报告 COVID-19 病例的每个国家的 CFR 进行了比例荟萃分析。基于这些结果,我们对全球 COVID-19 CFR 进行了荟萃分析。每项分析均使用 CFR 的两种不同计算方法进行:根据日历日期和自首例确诊病例出现以来的天数。因此,我们探索了一种创新且原始的 CFR 计算方法,同时基于首例确诊病例的日期和每日情况。
我们首次表明,根据日历日期和自首例确诊病例出现以来的天数进行荟萃分析,结果不同。
我们建议根据首例确诊病例出现以来的天数计算 CFR 可能是 COVID-19 当前 CFR 及其动力学的更好预测指标。