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Kōfuku no Kagaku is a most visible new religious actor in contemporary Japan thanks to the vast publishing activities of its founder and its widespread professional use of new media. This paper examines how Kōfuku no Kagaku engages with the COVID-19 pandemic in practical and doctrinal terms. Notably, early in the pandemic, Kōfuku no Kagaku's international promotion of spiritual cures and vaccines even prompted The New York Times to feature the group in a widely circulated article in April 2020. This paper outlines these "spiritual technologies" and examines their doctrinal rationale as well as the wider doctrinal appropriation of the COVID-19 pandemic. It will be shown how the latter is instrumentalised to echo Kōfuku no Kagaku's millenarian agenda. [ABSTRACT FROM AUTHOR]

While the epidemiological impact of the coronavirus disease 2019 (COVID-19) pandemic has been relatively moderate in East-Asian countries, the pandemic has significantly impacted on citizens' lives and livelihoods, and Japan is no exception. In the early phase of the COVID-19 pandemic, Japan managed unprecedented quarantines and realized the difficulty of controlling COVID-19, finally recording a relatively high number of deaths per million in the Western Pacific region. However, scant research has highlighted the distinctive features of Japan's reaction and the challenges encountered. To clarify these points and examine Japan's first response to COVID-19, we performed a content analysis. Minutes of expert meetings were analyzed from multiple viewpoints, including epidemiology, health systems, border control, and health communication. The obscure evolution of the testing strategy, the usefulness of retrospective contact tracing, the rapid scientific risk assessment, a sluggish expansion of health system capacity and response in border control, and misunderstanding between risk communication and crisis communication are made evident by our analysis. Examining previous responses and gathering lessons learned in each country will improve global responses to COVID-19 and strengthen regional health security. Therefore, while investing in public health and ensuring transparency, Japan needs to clarify the previous decision-making process of each countermeasure towards COVID-19. [ABSTRACT FROM AUTHOR]

We investigate the age structured data for the COVID-19 outbreak in Japan. We consider a mathematical model for the epidemic with unreported infectious patient with and without age structure. In particular, we build a new mathematical model and a new computational method to fit the data by using age classes dependent exponential growth at the early stage of the epidemic. This allows to take into account differences in the response of patients to the disease according to their age. This model also allows for a heterogeneous response of the population to the social distancing measures taken by the local government. We fit this model to the observed data and obtain a snapshot of the effective transmissions occurring inside the population at different times, which indicates where and among whom the disease propagates after the start of public mitigation measures. [ABSTRACT FROM AUTHOR]