School of Public Health, Kyoto University, Kyoto, Japan.
National Institute of Infectious Diseases, Center of Surveillance Immunization and Epidemiologic Research, Tokyo, Japan.
Math Biosci Eng. 2022 Apr 13;19(6):6088-6101. doi: 10.3934/mbe.2022284.
Following the emergence and worldwide spread of coronavirus disease 2019 (COVID-19), each country has attempted to control the disease in different ways. The first patient with COVID-19 in Japan was diagnosed on 15 January 2020, and until 31 October 2020, the epidemic was characterized by two large waves. To prevent the first wave, the Japanese government imposed several control measures such as advising the public to avoid the 3Cs (closed spaces with poor ventilation, crowded places with many people nearby, and close-contact settings such as close-range conversations) and implementation of "cluster buster" strategies. After a major epidemic occurred in April 2020 (the first wave), Japan asked its citizens to limit their numbers of physical contacts and announced a non-legally binding state of emergency. Following a drop in the number of diagnosed cases, the state of emergency was gradually relaxed and then lifted in all prefectures of Japan by 25 May 2020. However, the development of another major epidemic (the second wave) could not be prevented because of continued chains of transmission, especially in urban locations. The present study aimed to descriptively examine propagation of the COVID-19 epidemic in Japan with respect to time, age, space, and interventions implemented during the first and second waves. Using publicly available data, we calculated the effective reproduction number and its associations with the timing of measures imposed to suppress transmission. Finally, we crudely calculated the proportions of severe and fatal COVID-19 cases during the first and second waves. Our analysis identified key characteristics of COVID-19, including density dependence and also the age dependence in the risk of severe outcomes. We also identified that the effective reproduction number during the state of emergency was maintained below the value of 1 during the first wave.
自 2019 年冠状病毒病(COVID-19)出现并在全球传播以来,每个国家都试图以不同的方式控制这种疾病。日本首例 COVID-19 患者于 2020 年 1 月 15 日确诊,截至 2020 年 10 月 31 日,疫情呈现出两次大流行。为了防止第一波疫情,日本政府采取了多项控制措施,如建议公众避免去 3C 场所(通风不良的封闭空间、人员密集的拥挤场所和近距离交谈等近距离接触环境)和实施“集群破坏者”策略。在 2020 年 4 月(第一波)发生重大疫情后,日本要求其公民限制身体接触次数,并宣布非强制性的紧急状态。在确诊病例数量下降后,紧急状态逐渐放宽,并于 2020 年 5 月 25 日在日本所有都道府县解除。然而,由于持续的传播链,特别是在城市地区,第二波重大疫情的爆发无法避免。本研究旨在描述性地检查 COVID-19 疫情在日本的时间、年龄、空间和在第一波和第二波期间实施的干预措施的传播情况。使用公开可用的数据,我们计算了有效繁殖数及其与实施抑制传播措施的时间的关联。最后,我们粗略计算了第一波和第二波期间严重和致命 COVID-19 病例的比例。我们的分析确定了 COVID-19 的关键特征,包括密度依赖性和严重后果的年龄依赖性。我们还发现,紧急状态期间的有效繁殖数在第一波期间保持在 1 以下。