Suchergebnisse

Religious activities tend to be conducted in enclosed, crowded, and close-contact settings, which have a high potential of transmitting the coronavirus disease, 2019 (COVID-19); therefore, religious communities are expected to take appropriate infection prevention measures. Meanwhile, during past disasters, religious communities have provided various types of support to affected people; hence, their role in disaster risk reduction has received much attention. In this study, we aimed to identify the infection prevention measures and support provision implemented by mosques—Islamic institutions managed and operated mainly by foreign Muslims living in Japan—during the one year from January 2020. We collected information from newspaper articles (18 articles on 19 mosques) and interviews with representatives of three mosques. We found that various infection control measures were implemented in mosques—refraining from mass prayers and closing buildings from an early stage (around February 2020); canceling large-scale events during the month of Ramadan; moving some activities online; and ensuring indoor ventilation and safe physical distance even when continuing face-to-face prayer activities. We also found that various types of support were provided by mosques—donating masks to the local government; listening to problems of people affected by COVID-19 regardless of their nationality; providing financial support to them; translating and disseminating information to foreign Muslims; and providing religious meals for them. This study provides actual examples of infection prevention measures taken by mosques in a Muslim-minority society and suggests that mosques appropriately responded to the needs of religious minorities during disasters, including COVID-19.

Abstract
Flood early warning systems (FEWS) are essential in mitigating flood damage. To optimize their effectiveness, it is important to understand how people respond to warnings and prepare for flooding events. The key factors influencing social preparedness include 1) direct and 2) indirect experiences of floods and 3) trust in warnings. However, existing sociohydrological models do not incorporate all these elements. To include these elements for social preparedness, we propose an idealized model that allows multiple regions to influence one another (i.e., regional interactions). We investigate the dynamics of social preparedness in a society composed of regions with varying infrastructure levels (e.g., levee heights) and explore strategies for developing a socially efficient FEWS. Numerical analyses reveal that in a society that has a region characterized by a low infrastructure level (i.e., a region with frequent floods), regional interactions lead to a pronounced cry wolf effect due to false alarms from other regions, diminishing social preparedness in the low-infrastructure region. These interactions also prevent a warning strategy that optimizes the natural-science-based index (i.e., threat score) from maximizing social efficiency. Conversely, in a society that has a region characterized by a high infrastructure level (i.e., a region with infrequent floods), regional interactions enhance the efficiency of FEWS by improving social preparedness through indirect experiences with floods. These findings suggest that as regional heterogeneity increases, it becomes increasingly vital for forecasters to consider social aspects (e.g., people's experiences, trust, and interactions) when establishing a socially efficient FEWS. The refined model will be valuable to forecasters in designing effective FEWS in real-world situations.