Jung Sung-Mok, Endo Akira, Kinoshita Ryo, Nishiura Hiroshi
Kyoto University School of Public Health, Yoshidakonoe cho, Sakyo ku, Kyoto city 6068501, Japan.
Graduate School of Medicine, Hokkaido University, Kita 15 Jo Nishi 7 Chome, Kita-ku, Sapporo-shi, Hokkaido 060-8638, Japan.
R Soc Open Sci. 2021 Mar 31;8(3):202169. doi: 10.1098/rsos.202169.
An initial set of interventions, including the closure of host and hostess clubs and voluntary limitation of non-household contact, probably greatly contributed to reducing the disease incidence of coronavirus disease (COVID-19) in Japan, but this approach must eventually be replaced by a more sustainable strategy. To characterize such a possible exit strategy from the restrictive guidelines, we quantified the next-generation matrix, accounting for high- and low-risk transmission settings. This matrix was used to project the future incidence in Tokyo and Osaka after the state of emergency is lifted, presenting multiple 'post-emergency' scenarios with different levels of restriction. The effective reproduction numbers () for the increasing phase, the transition phase and the state-of-emergency phase in the first wave of the disease were estimated as 1.78 (95% credible interval (CrI): 1.73-1.82), 0.74 (95% CrI: 0.71-0.78) and 0.63 (95% CrI: 0.61-0.65), respectively, in Tokyo and as 1.58 (95% CrI: 1.51-1.64), 1.20 (95% CrI: 1.15-1.25) and 0.48 (95% CrI: 0.44-0.51), respectively, in Osaka. Projections showed that a 50% decrease in the high-risk transmission is required to keep less than 1 in both locations-a level necessary to maintain control of the epidemic and minimize the risk of resurgence.
最初的一系列干预措施,包括关闭男女公关俱乐部以及自愿限制非家庭接触,可能对降低日本冠状病毒病(COVID-19)的发病率起到了很大作用,但这种方法最终必须被更可持续的策略所取代。为了描述从严格指导方针中可能退出的策略,我们对下一代矩阵进行了量化,同时考虑了高风险和低风险传播环境。该矩阵用于预测东京和大阪在紧急状态解除后的未来发病率,呈现了不同限制水平的多个“紧急状态后”情景。在东京,疾病第一波的上升期、过渡期和紧急状态期的有效再生数((R_t))分别估计为1.78(95%可信区间(CrI):1.73 - 1.82)、0.74(95% CrI:0.71 - 0.78)和0.63(95% CrI:0.61 - 0.65),在大阪则分别为1.58(95% CrI:1.51 - 1.64)、1.20(95% CrI:1.15 - 1.25)和0.48(95% CrI:0.44 - 0.51)。预测表明,为了使两个地区的(R_t)均保持在1以下(这是维持疫情控制并将复发风险降至最低所需的水平),高风险传播需要降低50%。