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通过在高风险环境中采取不同干预措施预测日本的第二波新冠疫情。

Projecting a second wave of COVID-19 in Japan with variable interventions in high-risk settings.

作者信息

Jung Sung-Mok, Endo Akira, Kinoshita Ryo, Nishiura Hiroshi

机构信息

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.

出版信息

R Soc Open Sci. 2021 Mar 31;8(3):202169. doi: 10.1098/rsos.202169.

Abstract

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.

摘要

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%。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0546/8101538/d8edbd63c927/rsos202169f01.jpg

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