Kyoto University School of Public Health, Yoshida-Konoe-cho, Sakyo-ku, Kyoto, 606-8501, Japan.
Math Biosci Eng. 2022 Jan 12;19(3):2750-2761. doi: 10.3934/mbe.2022125.
Coronavirus disease 2019 (COVID-19), caused by severe acute respiratory syndrome coronavirus-2 (SARS-CoV-2), has rapidly spread across the globe. The variant of concern (VOC) 202012/01 (B.1.1.7, also known as the alpha variant) bearing the N501Y mutation emerged in late 2020. VOC 202012/01 was more transmissible than existing SARS-CoV-2 variants and swiftly became dominant in many regions. More than 150 cases of VOC 202012/01 were reported in Japan by 26 February 2021. During the very early stage of introduction, only a subset arose from domestic transmission. If the reproduction number R (i.e., the average number of secondary transmission events caused by a single primary case) is greater than 1, the corresponding proportion should converge to 1 in a short period of time, and thus it is critical to understand the transmissibility of VOC 202012/01 based on travel history information. The present study aimed to estimate R of VOC 202012/01 using overseas travel history information. A mathematical model was developed to capture the relationship between travel history and R. We obtained travel history data for each confirmed case of VOC 202012/01 infection from 26 December 2020 to 26 February 2021. Maximum likelihood estimation was used to estimate R, accounting for right censoring during real-time estimation. In the baseline scenario, R was estimated at 2.11 (95% confidence interval: 1.63, 2.94). By 26 February 2021, an average of nine generations had elapsed since the first imported case. If the generation time of VOC 202012/01 was assumed to be longer, R was increased, consistent with estimates of R from case data. The estimated R of VOC 202012/01 in Japan exceeded 1 on 26 February 2021, suggesting that domestic transmission events caused a major epidemic. Moreover, because our estimate of R was dependent on generation time and ascertainment biases, continuous monitoring of contact tracing data is crucial to decipher the mechanisms of increased VOC 202012/01 transmissibility.
新型冠状病毒病(COVID-19)是由严重急性呼吸系统综合征冠状病毒 2 型(SARS-CoV-2)引起的,其已在全球迅速蔓延。关注变体(VOC)202012/01(B.1.1.7,又称 alpha 变体)携带 N501Y 突变,于 2020 年末出现。VOC 202012/01 比现有的 SARS-CoV-2 变体更具传染性,并迅速在许多地区占据主导地位。截至 2021 年 2 月 26 日,日本报告了超过 150 例 VOC 202012/01 病例。在引入的早期阶段,只有一部分是由国内传播引起的。如果繁殖数 R(即由单个原始病例引起的二次传播事件的平均数量)大于 1,则相应的比例应在短时间内收敛到 1,因此,根据旅行史信息了解 VOC 202012/01 的传染性至关重要。本研究旨在利用海外旅行史信息来估计 VOC 202012/01 的 R。建立了一个数学模型来捕捉旅行史和 R 之间的关系。我们从 2020 年 12 月 26 日至 2021 年 2 月 26 日期间获得了每个确诊的 VOC 202012/01 感染病例的旅行史数据。在实时估计过程中,采用最大似然估计法来估计 R,同时考虑了右删失。在基线情况下,R 估计值为 2.11(95%置信区间:1.63,2.94)。截至 2021 年 2 月 26 日,自首例输入性病例以来,平均已经历了九代。如果假设 VOC 202012/01 的代时较长,则 R 会增加,这与病例数据估计的 R 相符。2021 年 2 月 26 日,日本的 VOC 202012/01 的估计 R 超过 1,这表明国内传播事件引发了重大疫情。此外,由于我们对 R 的估计取决于代时和确定偏差,因此连续监测接触者追踪数据对于揭示 VOC 202012/01 传染性增加的机制至关重要。