Introduction: The Disaster/Digital Information System for Health and Well-being (D24H), fully operational since April 2024, supports health, medical, and welfare teams in disaster-stricken areas by integrating, analyzing, and providing data collected by various teams. During the 2024 Noto Peninsula Earthquake, the system was used by the coordination headquarters and health centers to assess evacuation shelter conditions. Disaster Medical Assistance Teams (DMAT) and other support teams conducted assessments based on Sphere standards, recording data for approximately 400 shelters, resulting in over 4,500 updates from January to August 2024. The study aims to collect data to analyze changes in the shelter environment and the effects of support interventions, contributing to improved disaster response planning. This study aims to enhance future disaster response planning and support by using the collected data to analyze changes in shelter environments and the effects of support interventions. Methods: Data from the D24H Survey were analyzed as a time series. The collected data were cleaned for correct anomalies and missing values. Time-series analyses visualized changes in resource supply and infrastructure sufficiency, while regression analysis examined the effects of support team visits and resource delivery timing on environmental improvements, identifying effective support indicators. Results: The study identified temporal trends in shelter resources and infrastructure sufficiency. Comprehensive assessments revealed a relationship between support interventions and shelter conditions. Criteria for high-risk shelters were established, providing evidence for prioritizing support plans. Conclusion: The study clarified the relationship between shelter conditions and support interventions, providing a framework for prioritizing disaster support. The findings enhance the efficiency of disaster responses, enabling better resource allocation, standardizing support activities, and improving public health and living conditions in shelters.
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Ann Kikuchi
K. Fujita
Shibaura Institute of Technology
Manabu Ichikawa
Shibaura Institute of Technology
Prehospital and Disaster Medicine
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Kikuchi et al. (Sun,) studied this question.
synapsesocial.com/papers/69c37ba2b34aaaeb1a67e42d — DOI: https://doi.org/10.1017/s1049023x26102349
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