Progress in Disaster Science最新文献

{"title":"Acquiring cultural competence in crisis: Barriers and best practices from international NGO workers","authors":"Christa L. Remington","doi":"10.1016/j.pdisas.2026.100612","DOIUrl":"10.1016/j.pdisas.2026.100612","url":null,"abstract":"<div><div>Although cultural competence is widely recognized as essential to effective humanitarian work, the processes by which aid workers acquire cross-cultural skills remain underexplored. Drawing on 50 semi-structured interviews, observational fieldwork, organizational documents, and a supplemental survey, this study identifies acquisition strategies and their organizational barriers from the perspectives of international NGO workers deployed to Haiti during long-term recovery operations. The findings indicate that relational and experiential approaches (i.e., immersion, community relationships, and mentoring) are perceived as more effective than formal training, yet are often undermined by organizational policies (i.e., restrictive security protocols and insufficient training) shaped by duty-of-care risk governance, producing a governed immersion paradox in which the relational exposure needed for skill development is constrained. By identifying this paradox as a mechanism through which organizational risk governance structures access to cultural learning, this study advances understanding of how cultural competence is developed by NGO workers in fragile, high-stakes environments and offers practical guidance for organizations seeking to prepare and sustain workers in crisis contexts<strong>.</strong></div></div>","PeriodicalId":52341,"journal":{"name":"Progress in Disaster Science","volume":"30 ","pages":"Article 100612"},"PeriodicalIF":3.8,"publicationDate":"2026-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148177739","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Psychosocial immunity: Forging a shield for the psyche's first responders in CBRN disasters","authors":"Hesam Seyedin ,&nbsp;Shandiz Moslehi ,&nbsp;Sajjad Narimani","doi":"10.1016/j.pdisas.2026.100609","DOIUrl":"10.1016/j.pdisas.2026.100609","url":null,"abstract":"<div><div>While Chemical, Biological, Radiological, and Nuclear (CBRN) disaster response prioritizes physical containment, a parallel and overlooked crisis targets the mental health professionals deployed to aid victims: the vicarious internalization of catastrophic trauma. This conceptual analysis contends that reactive psychological debriefing is fundamentally insufficient for this unique context and introduces the pioneering paradigm of Psychosocial Immunity. This framework proposes a proactive, multi-phase defense system engineered to shield mental health professionals from the debilitating psychological toxicity of CBRN environments. We delineate the distinct pathogenic pressures on these professionals, including the cognitive burden of imperceptible threats, the validation of ungrievable losses, and sustained exposure to collective moral injury. We argue that operationalizing this immunity through a structured, three-phase model—pre-deployment cognitive vaccination, in-field sanctuary pods for psychological decontamination, and mandatory long-term surveillance—is a strategic imperative. Neglecting this architectural support for psychological first responders risks a secondary wave of casualties among the support corps, ultimately compromising the foundation of community recovery. Sustaining a population's capacity to heal is predicated on proactively fortifying the psychological well-being of its healers.</div></div>","PeriodicalId":52341,"journal":{"name":"Progress in Disaster Science","volume":"30 ","pages":"Article 100609"},"PeriodicalIF":3.8,"publicationDate":"2026-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148178507","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Seasonal livelihood vulnerability in a climate-sensitive wetland of Bangladesh: Linking income insecurity, migration, and institutional coping responses","authors":"Fahmida Sultana,&nbsp;Rony Basak,&nbsp;Zia Ahmed","doi":"10.1016/j.pdisas.2026.100608","DOIUrl":"10.1016/j.pdisas.2026.100608","url":null,"abstract":"<div><div>This study examines seasonal livelihood vulnerability in Tahirpur Upazila, located in the flood-prone Sunamganj District of Bangladesh. Using a self-administered questionnaire survey, data were collected from 414 households, revealing a complex and spatially varied vulnerable landscape. The Livelihood Vulnerability Index (LVI) identified the central region as highly vulnerable, particularly in areas adjacent to the Jadukata River. The Seasonal Livelihood Vulnerability Index (SLVI) further highlighted the northeastern region as experiencing very high levels of seasonal vulnerability. Notably, 35.7% of households reported being in “bad” or “worse” conditions due to seasonal unemployment, while 48.3% relied heavily on migration as a coping mechanism. Gender-disaggregated analysis revealed that female respondents exhibited higher exposure and lower access to social safety nets, reflecting gendered disparities in resilience. Although microfinance institutions and NGOs were present, their support was limited; 36.7% of respondents had never accessed financial aid or microcredit services. Similarly, 34.3% of households reported never receiving government relief. Regression analysis revealed a significant positive relationship between LVI and SLVI (<em>R</em>² = 0.5018), indicating that baseline vulnerabilities exacerbate seasonal stresses. These findings emphasize the urgent need for integrated policy interventions that address both chronic and seasonal dimensions of vulnerability, with a particular focus on strengthening adaptive capacity and expanding access to financial support mechanisms in flood-affected communities.</div></div>","PeriodicalId":52341,"journal":{"name":"Progress in Disaster Science","volume":"30 ","pages":"Article 100608"},"PeriodicalIF":3.8,"publicationDate":"2026-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148178508","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"The influence of information systems on the integration of humanitarian supply chains' performance management in light of disaster preparedness","authors":"Ester Lisnati Jayadi,&nbsp;Helena Forslund","doi":"10.1016/j.pdisas.2026.100572","DOIUrl":"10.1016/j.pdisas.2026.100572","url":null,"abstract":"<div><div>Humanitarian supply chains (HSCs) play an essential role in alleviating humanitarian crises in disaster-prone settings where lead-time effectiveness is critical. Information systems are key to the integration between humanitarian organizations (HOs) and donors, particularly for performance management that supports preparedness. However, empirical research on how information systems influence such integration remains limited. This study addresses this gap using a mixed-methods approach that operationalizes information systems as characteristics, capabilities, and flows, and links them to the integration between HOs and donors in performance management during preparedness. The methodology consists of a three-phase mixed-methods approach, including survey pretesting through focus group discussions, a survey of 145 Indonesian HOs operating in disaster-prone settings, and focus group discussions to validate the interpretation of the quantitative results. Hierarchical regression analysis reveals that information systems characteristics and capabilities significantly influence integration, and information systems flow can influence integration when challenges are addressed. Theoretically, the study advances understanding of how information systems enable integration for preparedness. In practice, it highlights the need to standardize data formats, define performance metrics and communication protocols, and implement training initiatives. The findings offer insights that strengthen HSC preparedness in similar settings and suggest topics for future research.</div></div>","PeriodicalId":52341,"journal":{"name":"Progress in Disaster Science","volume":"30 ","pages":"Article 100572"},"PeriodicalIF":3.8,"publicationDate":"2026-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147951438","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"SAR based approach for rapid flood impact assessment on agriculture and human exposure","authors":"Gautam Dadhich ,&nbsp;Mukand S. Babel ,&nbsp;Hiroyuki Miyazaki ,&nbsp;Salvatore G.P. Virdis","doi":"10.1016/j.pdisas.2026.100558","DOIUrl":"10.1016/j.pdisas.2026.100558","url":null,"abstract":"<div><div>This study presents an innovative framework for rapid flood impact assessment on agriculture using Sentinel-1 Synthetic Aperture Radar (SAR) data at 10-meter resolution, integrated with Google Earth Engine (GEE). In September 2019, an exceptional flood event, characterized as a 32-year return period flood, impacted the northeastern provinces of Thailand, including Yasothon, Amnat Charoen, Ubon Ratchathani, Si Sa Ket, Roi Et, and Kalasin. This event, precipitated by the convergence of Tropical Storm PODUL and Tropical Depression KAJIKI, led to substantial human and economic losses. The methodology employs: (i) flood mapping with an enhanced Kittler-Illingworth thresholding technique incorporating terrain correction to mitigate slope-dependent backscatter variations; (ii) crop classification using a novel Dual Polarization SAR Vegetation Index (DpSVI); and (iii) robust validation against field data and optical imagery. The analysis encompassed flood extent determination, flooded agricultural area quantification, crop type distribution (Sugarcane, Cassava, Maize, and Rubber), assessment of crop type area affected by flooding, and evaluation of farmers’ exposure to flooding from September 1st to September 30th, 2019. Results indicate that 3890.4 km² (8.4% of the study area) was flooded, with Yasothon experiencing the highest agricultural impact (19.6% of its agricultural area). The framework demonstrates high accuracy (Overall Accuracy: 82.6%, Kappa: 0.94) and temporal generalizability through validation against 2018 and 2020 flood events. This approach enhances disaster response by providing reliable, cloud-independent flood and crop impact assessments, supporting targeted recovery strategies.</div></div>","PeriodicalId":52341,"journal":{"name":"Progress in Disaster Science","volume":"30 ","pages":"Article 100558"},"PeriodicalIF":3.8,"publicationDate":"2026-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147602138","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Demographic changes associated with rainfall-induced landslides and floods in a rural area with a declining population: A case study in Asakura City, Northern Kyushu, Japan","authors":"Tadamichi Sato ,&nbsp;Yasuhiro Shuin","doi":"10.1016/j.pdisas.2026.100560","DOIUrl":"10.1016/j.pdisas.2026.100560","url":null,"abstract":"<div><div>Landslide disasters often occur in rural settings; however, their demographic impacts have not been sufficiently examined. This study demonstrated the demographic changes associated with the 2017 rainfall-induced landslides and floods in Asakura City, Japan, a rural locality that is experiencing population decline. The onset and persistence of demographic changes following disaster were identified based on deviations from pre-disaster population trends using the logarithm of population change. Among Asakura's 19 communities, three that were already experiencing population decline exhibited impacts from the disaster. In these areas, accelerated decline persisted for 1–5 years, with 1.9 to 3.4 times greater than the pre-disaster levels. Analysis using a penalized logistic model revealed that the magnitude of physical damage (fatalities, housing damage, and road damage), rather than hazard magnitude (area coverage of landslides, floods, and woody debris deposits), was related to whether demographic changes occurred. In particular, the housing damage rate emerged as the strongest explanatory factor. Furthermore, the duration of population decline was positively correlated with the extent of physical damage. This study provides additional empirical evidence for the disaster–demography literature and supports decision-making for more effective landslide mitigation and community sustainability in the face of climate change.</div></div>","PeriodicalId":52341,"journal":{"name":"Progress in Disaster Science","volume":"30 ","pages":"Article 100560"},"PeriodicalIF":3.8,"publicationDate":"2026-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147602139","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Urban Heat Island Hazard and disaster risk in major Pakistani cities: Spatiotemporal analysis, vulnerability assessment, and risk reduction strategies","authors":"Huma Shakoor ,&nbsp;Waqas Naseem ,&nbsp;Ale Azad Othman ,&nbsp;Syed Hamid Hussain ,&nbsp;Muhammad Shahab ,&nbsp;Fahad Alshehri ,&nbsp;Syed Hanzila Azhar ,&nbsp;Tabish Rasool","doi":"10.1016/j.pdisas.2026.100580","DOIUrl":"10.1016/j.pdisas.2026.100580","url":null,"abstract":"<div><div>Urban Heat Islands (UHI) represent a growing climate-associated disaster risk in rapidly urbanizing cities, where expanding impervious surfaces, declining vegetation, and weak governance intensify thermal hazard and population vulnerability. This study presents a spatiotemporal analysis of UHI hazard, vegetation-temperature dynamics, and urban expansion across four Pakistani cities using MODIS and Landsat 8 imagery, Pakistan Meteorological Department records, and urban planning documents spanning 2000 to 2023, integrated through GIS spatial analysis, Pearson correlation, and linear regression.</div><div>Karachi recorded the highest urban-rural temperature differential at 4.5 °C, followed by Lahore (4.1 °C), Faisalabad (3.8 °C), and Islamabad (2.5 °C). A strong inverse NDVI-LST correlation (mean <em>r</em> = −0.76, <em>p</em> &lt; 0.01) was confirmed across all cities, establishing vegetation loss as the primary controllable driver of thermal hazard. Annual temperatures rose 0.12 to 0.16 °C per year, heatwave days doubled in Lahore and Faisalabad, and urban expansion ranged from 34% to 62% between 2000 and 2022 without green infrastructure integration.</div><div>All four cities lack heat action plans, climate-sensitive zoning, and mandatory green coverage standards, with low-income settlements bearing disproportionate thermal exposure. A multi-tiered disaster risk reduction framework aligned with the Sendai Framework 2015–2030 is proposed, encompassing urban greening mandates, heat early-warning systems, climate-resilient zoning, and ecological buffer preservation.</div></div>","PeriodicalId":52341,"journal":{"name":"Progress in Disaster Science","volume":"30 ","pages":"Article 100580"},"PeriodicalIF":3.8,"publicationDate":"2026-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147797603","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Investigating human heat stress: A systematic review of research approaches and methodologies","authors":"Mabel B. Ndlovu ,&nbsp;Phindile T.Z Sabela-Rikhotso ,&nbsp;Babatunde J. Abiodun","doi":"10.1016/j.pdisas.2026.100578","DOIUrl":"10.1016/j.pdisas.2026.100578","url":null,"abstract":"<div><div>Heat stress is a complex, multifaceted phenomenon shaped by human physiology, socio-economic conditions, and climatic factors, with far-reaching implications for communities and economic productivity. Despite extensive research across disciplines, the field remains fragmented, with approaches often applied in isolation, resulting in partial and non-comparable understandings. This fragmentation has reinforced the assumption that heat stress can be adequately characterised using a single dominant method, most commonly heat stress indices, with limited guidance on how to select appropriate methods for different research purposes, despite their direct influence on risk assessment and policy relevance. This systematic literature review examines four key approaches namely, heat stress indices, temperature-only, subjective, and mixed methods, by identifying their characteristics, strengths, and limitations. Following PRISMA guidelines, 74 studies were reviewed and comparatively assessed using the IPCC disaster risk framework to evaluate how each approach represents hazard, exposure, and vulnerability. The findings highlight that methodological choices must align with study objectives, data availability, and intended policy outcomes. This review provides a foundation for more coherent and comparable assessments and offers a structured guide for method selection in heat stress research and risk reduction policy while also highlighting pathways for advancing interdisciplinary integration.</div></div>","PeriodicalId":52341,"journal":{"name":"Progress in Disaster Science","volume":"30 ","pages":"Article 100578"},"PeriodicalIF":3.8,"publicationDate":"2026-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147797605","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Governance gaps in Arctic disaster risk assessment: Leveraging large language models for adaptive disaster risk governance in the Arctic","authors":"Olga Derendiaeva","doi":"10.1016/j.pdisas.2026.100599","DOIUrl":"10.1016/j.pdisas.2026.100599","url":null,"abstract":"<div><div>The Arctic region is experiencing rapid socio-environmental disruptions driven by compounding climate change, which increases the frequency of transboundary disasters. While Adaptive Goevrnacne (AG) offers critical mechanisms for institutional flexibility and multi-stakeholder learning, its execution in Disaster Emergency Management (DEM) remains constrained by entrenched top-down hierarchies and institutional silos. This study evaluates the capacity of four foundational Large Language Models (LLMs) – GPT-4, Gemini, Yandex GPT, and Deep Seek to systematically identify and ameliorate policy gaps within official post-disaster reports from Russia, the United States, and Canada. Using an analytical framework based on eight established AG indicators, we implement a multi-stage iterative human-verification protocol to define operational success thresholds and error rates across diverse model architectures. The empirical results demonstrate that while raw outputs exhibit notable analytical interpolation errors, a structured, verified human-in-the-loop pipeline yields high-precision text synthesis, with GPT-4 achieving a success rate of up to 93.75%. We introduce the concept of LLM-human policy co-design, positioning constrained generative AI not as an objective source of truth, but as an “epistemic mirror” capable of exposing institutional blind spots and accelerating the double-loop learning cycle essential for polycentric disaster risk reduction.</div></div>","PeriodicalId":52341,"journal":{"name":"Progress in Disaster Science","volume":"30 ","pages":"Article 100599"},"PeriodicalIF":3.8,"publicationDate":"2026-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148177735","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Psychological consequences of the 2025 Dhaka earthquake: Prevalence and determinants of depression, anxiety, and stress among urban residents","authors":"Md Mostafizur Rahman ,&nbsp;Sajjad Hossain ,&nbsp;Imtiaz Ahmed ,&nbsp;Tsunakiyo Iribe ,&nbsp;Md. Kaium Hossain ,&nbsp;Khondakar Md Ikhtiar Uddin Arafat ,&nbsp;Edris Alam","doi":"10.1016/j.pdisas.2026.100594","DOIUrl":"10.1016/j.pdisas.2026.100594","url":null,"abstract":"<div><div>On 21 November 2025, a moderate earthquake struck Dhaka, Bangladesh, causing widespread fear and psychological concern in this densely populated city. This cross-sectional study assessed the prevalence and determinants of depression, anxiety, and stress among urban residents. A total of 409 adults from the Dhaka North and South City Corporations were surveyed approximately 4 weeks after the event using the validated Bengali version of the Depression, Anxiety, and Stress Scales (DASS-21). Descriptive statistics and multiple linear regression models using backward elimination were performed. Most participants were within normal ranges for depression, anxiety, and stress; however, a considerable proportion experienced elevated psychological symptoms. Anxiety appeared to be the most prominent psychological response, with moderate-to-extremely severe anxiety reported more frequently than corresponding levels of depression and stress. Younger age was significantly associated with higher anxiety and stress scores. Residence in DSCC was consistently associated with lower depression, anxiety, and stress scores compared with DNCC. Participants with strong confidence in protective earthquake actions reported significantly lower psychological distress across all three domains. In contrast, uncertainty regarding evacuation exits and receiving only informal earthquake preparedness information were associated with higher psychological distress. Severe self-reported mental health impact following the earthquake was strongly associated with increased depression, anxiety, and stress scores. Despite limited large-scale physical destruction, the earthquake generated psychological impacts among urban residents. The findings suggest that post-earthquake mental health outcomes were shaped not only by demographic factors but also by preparedness knowledge, perceived control, and structural safety perceptions. Integrating mental health support with comprehensive disaster preparedness strategies targeted to the highest-risk populations is essential to strengthening urban resilience.</div></div>","PeriodicalId":52341,"journal":{"name":"Progress in Disaster Science","volume":"30 ","pages":"Article 100594"},"PeriodicalIF":3.8,"publicationDate":"2026-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148001629","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}