Progress in Disaster Science最新文献

{"title":"Gender-responsive climate resilience through community-based adaptation: A policy-practice interface study in southern Bangladesh","authors":"Raisa Imran Chowdhury,&nbsp;Md. Asib Hossain,&nbsp;Zawad Ibn Farid","doi":"10.1016/j.pdisas.2026.100568","DOIUrl":"10.1016/j.pdisas.2026.100568","url":null,"abstract":"<div><div>Climate change brings severe gendered impacts in southern Bangladesh. Evidence is available of high rates of female displacement, increases in gender based violence, climate driven child marriage, and disruptions of menstrual hygiene and water access. These conditions add to the vulnerability of coastal communities affected by salinity and recurring hazards. This study looks at the link between policy frameworks for national climate and disaster policies and community based adaptation practice, and in particular the disconnect between gender commitments in the policy framework and their implementation at the local level. The study outlines a governance pathway framework, which describes how policy commitments travel through stages of institutional translation and program implementation before influencing community outcomes. The research assesses governance mechanisms, institutional capacity and measurement limitations which limit verification of gender responsive resilience. Key limitations include lack of gender disaggregated indicators, weak financing mandates, little monitoring of e.g. gender based violence outcomes, and a lack of inclusion of adolescents and persons with disabilities. Findings show that policies such as BCCSAP, NAPA, ccGAP, NPDM, and BCCTF make reference to gender equality but have no mechanisms for enforcement, coordination arrangements, and gender responsive budgeting provisions. Institutional fragmentation as well as monitoring systems that focus on indicators of participation undermine a policy translation into operational programs. Community based adaptation initiatives document participation but few improve decision authority and access to services for women and marginalized groups. The recommendations of the study include gender outcome reporting, better representation of women in local governance structures, including gender risk mitigation in adaptation programs, and standardization of gender responsive resilience indicators to support equitable resilience outcomes in coastal saline belt.</div></div>","PeriodicalId":52341,"journal":{"name":"Progress in Disaster Science","volume":"30 ","pages":"Article 100568"},"PeriodicalIF":3.8,"publicationDate":"2026-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147702822","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":"Protocol for a climate-health risk profile for Jamaica: Integrating a systematic country profile with a scoping review of hurricane-related public health impacts","authors":"Fanuel Alemayehu Tefera ,&nbsp;Arooj Abid ,&nbsp;Tashfeen Akram ,&nbsp;Ruth Omoh Eboye ,&nbsp;Ahmed Hassen Mohummed ,&nbsp;Mah Noor ,&nbsp;Helal Uddin ,&nbsp;Rafael Castro-Delgado","doi":"10.1016/j.pdisas.2026.100576","DOIUrl":"10.1016/j.pdisas.2026.100576","url":null,"abstract":"<div><h3>Background</h3><div>Climate change has led to increased frequency and intensity of extreme weather-related events, posing a threat to global health security. Situated in the Atlantic Ocean Basin, Jamaica is highly exposed to multiple natural hazards. Despite this, limited research has examined the direct public health impacts of hurricanes.</div></div><div><h3>Objective</h3><div>To systematically develop a Climate-Health Risk Profile for Jamaica by integrating a country profile with multiple dimensions assessing exposure, vulnerability, and adaptive capacity, with a scoping review of the documented public health impacts of Hurricanes in Jamaica.</div></div><div><h3>Methods</h3><div>This study will use a sequential multi-method study design. We will conduct two complementary studies and integrate the findings. First, a descriptive country case study will be done using desk review and document analysis to develop a country-health risk profile assessing various national domains. Next, a scoping review will follow PRISMA-ScR guidelines, with a systematic search of 8 databases and grey literature to assess documented health impacts. Finally, a thematic and narrative synthesis will analyze the public health impacts in light of the country's vulnerabilities.</div></div><div><h3>Expected outcome</h3><div>A detailed analysis of the public health impacts of hurricanes contextualized within systemic vulnerabilities that will contribute to advancing climate-health research and informing targeted policy in public health preparedness, disaster risk reduction, and climate adaptation strategies for Small Island Developing States (SIDS).</div></div><div><h3>Ethics and dissemination</h3><div>This study uses publicly available existing data and published articles; ethical approval is not required. However, all data used and sources will be rigorously cited. Findings will be disseminated to peer-reviewed journals and presented at conferences.</div></div><div><h3>Open science framework registration ID</h3><div>osf.io/mcnsy.</div></div>","PeriodicalId":52341,"journal":{"name":"Progress in Disaster Science","volume":"30 ","pages":"Article 100576"},"PeriodicalIF":3.8,"publicationDate":"2026-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147702823","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":"Network-based GIS modeling for flood evacuation route plan in Saghata Upazila, Bangladesh","authors":"Jannatun Hussna Tuya ,&nbsp;Abu Hamjalal Babu ,&nbsp;Mahmudul Hasan Showrov ,&nbsp;Sharier Alif","doi":"10.1016/j.pdisas.2026.100586","DOIUrl":"10.1016/j.pdisas.2026.100586","url":null,"abstract":"<div><div>Bangladesh is highly susceptible to recurrent and devastating floods due to its geographic location. This research investigates the application of Geographic Information Systems (GIS) in developing flood evacuation route plans based on available spatial data at the local scale with a case study in Saghata Upazila, Gaibandha District. The study integrates spatial analyses, Analytical Hierarchy Process (AHP) as a multi-criteria decision-making technique, and weighted overlay to generate flood vulnerability maps based on key conditioning factors: elevation, slope, drainage density, rainfall, proximity to rivers, and land use. Road network analysis using Dijkstra's algorithm further identifies optimal evacuation routes to available flood shelter and administrative centers accounting for both shortest distance and travel time. Findings reveal that eastern Saghata is the most flood-prone area due to its low elevation and proximity to the river. Also, critical infrastructures are often spatially mismatched with high-density populations. This study is intended as a planning-level GIS-based framework developed under data-limited conditions. The research demonstrates how GIS can inform resilient evacuation planning with limited local-scale spatial data, highlighting the need for construction and decentralized shelter distribution, the availability of diverse local-scale spatial datasets, and real-time spatial data integration. The study contributes to disaster risk reduction by providing actionable spatial insights for local policymakers, emergency responders, and planners.</div></div>","PeriodicalId":52341,"journal":{"name":"Progress in Disaster Science","volume":"30 ","pages":"Article 100586"},"PeriodicalIF":3.8,"publicationDate":"2026-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147797602","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":"Effects of uncertainty and affective content on large language models' disaster assessment: A controlled comparison using synthetic disaster data","authors":"Idan-Chaim Cohen ,&nbsp;Noya Littor ,&nbsp;Aviad Elyashar ,&nbsp;Odeya Cohen ,&nbsp;Rami Puzis","doi":"10.1016/j.pdisas.2026.100571","DOIUrl":"10.1016/j.pdisas.2026.100571","url":null,"abstract":"<div><div>Large language models (LLMs) are increasingly integrated into disaster management systems, yet the extent to which data properties, such as uncertainty and affective content, systematically influence LLM-based disaster analyses remains underexplored. We conducted three experiments using synthetic scenarios across three disaster types (earthquake, wildfire, chemical incident), testing eight LLMs on 26,400 assessment tasks. Synthetic materials were developed to prevent test set contamination from exposure to training data. Experiment 1 investigated how data certainty affects severity assessment using operational reports describing the same event at varying certainty levels. Experiments 2 and 3 used matched pairs of social media contents with equivalent factual content but varying affective content, assessing the extent to which affective content influences severity ratings and resource prioritization. On average, data uncertainty and affective content were associated with elevated severity ratings, while the latter was also associated with prioritization of psychological support. These effects were generally consistent in direction across different disaster types, although the magnitudes of the effects varied. Instructions to ignore or consider emotional language changed the LLMs' behaviors in the expected direction, with signs of over-correction in some models. Effect sizes varied substantially across models, up to 21-fold differences in Experiment 1, precluding the use of uniform calibration approaches. These findings indicate that LLM disaster analyses are systematically shifted by data properties that may lack operational relevance. Developers and users of LLM-based disaster management systems should account for these biases and their variation across models.</div></div>","PeriodicalId":52341,"journal":{"name":"Progress in Disaster Science","volume":"30 ","pages":"Article 100571"},"PeriodicalIF":3.8,"publicationDate":"2026-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147749814","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":"Mapping disaster risk reduction studies and their regional importance","authors":"Concepta McManus ,&nbsp;Timothy Finan ,&nbsp;Vinícius Silva Junqueira ,&nbsp;Felipe Pimentel ,&nbsp;Erica Akemi Goto ,&nbsp;Sonia Delphin ,&nbsp;Corrie Hannah","doi":"10.1016/j.pdisas.2026.100587","DOIUrl":"10.1016/j.pdisas.2026.100587","url":null,"abstract":"<div><div>Disaster risk reduction (DRR) is key for mitigating the socio-economic impacts of natural hazards, particularly in the Global South, where vulnerable populations face heightened risks due to limited adaptive capacity and economic instability. This study provides a global and regional bibliometric analysis of DRR scholarship by examining 77,061 peer-reviewed publications and focusing on 10,681 highly cited peer-reviewed articles published between 2004 and 2024. We use an integrated science-mapping approach with tools such as VOSviewer, SciVal, biblioshiny in R, and Overton to assess the evolution of DRR research themes, collaboration networks, citation performance, and policy uptake. Results show a 4800% growth in publications. While Asia leads in output, Oceania and South America exhibit higher field-weighted citation impacts, with South America achieving a strong per-paper influence. More than 54% of the DRR research are cited in policy documents, which have informed over 5000 policy outputs worldwide. However, policy uptake is concentrated in higher income countries, with limited use in lower- and middle-income countries where disaster exposure is often greater. These findings highlight regional diversity in research priorities, persistent geographic and income-based asymmetries in disaster risk science, and the growing importance of interdisciplinary collaboration and policy engagement in advancing effective, context-specific DRR strategies.</div></div>","PeriodicalId":52341,"journal":{"name":"Progress in Disaster Science","volume":"30 ","pages":"Article 100587"},"PeriodicalIF":3.8,"publicationDate":"2026-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147849767","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":"Structure, time and effectiveness: An integrative review for resilient interorganizational networks in post-disaster recovery","authors":"Lavinia Damaschin,&nbsp;Francesca Giardini,&nbsp;Rafael Wittek","doi":"10.1016/j.pdisas.2026.100607","DOIUrl":"10.1016/j.pdisas.2026.100607","url":null,"abstract":"<div><div>This paper examines the characteristics of interorganizational networks in post-disaster recovery, focusing on network governance, evolution and effectiveness. By bringing together the collaborative resilience framework and the theory of interorganizational network governance, this study provides novel insights: network governance explains how structural conditions and coordination arrangements shape effectiveness, while collaborative resilience captures the adaptive mechanisms that allow networks to sustain collaboration over long-term recovery.</div><div>A keyword search was conducted in major databases including Scopus, EBSCOhost and Web of Science. After screening titles, abstracts and full texts based on predefined criteria, 17 studies were included.</div><div>An inductive–deductive coding scheme informed the thematic analysis, identifying three main patterns. First, post-disaster recovery networks are characterized by asymmetries in resources and legitimacy, which shape coordination and decision-making processes. Second, recovery networks show a pattern of decentralization which can lead to coordination challenges and risk of network fragmentation. Third, different governance forms are associated with different effectiveness outcomes, depending on the composition of the network and the network's goal in recovery. Overall, the review shows that post-disaster recovery is shaped by a tension between governance structures and the relational conditions required for collaborative resilience, as no single governance form simultaneously satisfies all the characteristics.</div></div>","PeriodicalId":52341,"journal":{"name":"Progress in Disaster Science","volume":"30 ","pages":"Article 100607"},"PeriodicalIF":3.8,"publicationDate":"2026-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148177733","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":"An updated hierarchical Bayesian framework for earthquake fatality estimation","authors":"Davis Engler ,&nbsp;Kishor Jaiswal ,&nbsp;Mahadevan Ganesh","doi":"10.1016/j.pdisas.2026.100574","DOIUrl":"10.1016/j.pdisas.2026.100574","url":null,"abstract":"<div><div>We present a framework for accurately forecasting a class of nondecreasing temporal count processes with a finite limit. Specifically, we apply this framework to rapidly estimate total earthquake-induced fatalities. We model trends in successive reported fatality counts by public media within the first hours and days after a major earthquake, using an updated Bayesian framework to forecast the likely final count. This work extends previous research with several key improvements: (1) Addressing past earthquake fatality trends that deviated significantly from the previous framework's assumptions; (2) Leveraging reported fatality data from past earthquakes to improve projections for new events; and (3) Optimizing and scaling the observed data's influence to enhance estimates and associated uncertainty. We demonstrate the predictive capabilities of this high- dimensional framework by comparing its performance to its predecessor across several past deadly earthquakes, including the 2023 M 7.8 Türkiye/Syria earthquake sequence. We show that the proposed high-dimensional updating framework improves forecasting and significantly reduces overall uncertainties compared to PAGER's initial estimates.</div><div>MSC 2010 subject classifications:</div><div>Primary 60K35, 60K35; secondary 60K35.</div></div>","PeriodicalId":52341,"journal":{"name":"Progress in Disaster Science","volume":"30 ","pages":"Article 100574"},"PeriodicalIF":3.8,"publicationDate":"2026-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147849770","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":"Long-term disaster risk implications of post-tsunami housing reconstruction: An integrated socio-technical assessment of community perception, structural performance, and hazard exposure in Aceh, Indonesia","authors":"Benazir ,&nbsp;Rifdalila Kultsum ,&nbsp;Arisna Fauzia ,&nbsp;Chaidir Ali ,&nbsp;Nurkhalis ,&nbsp;Radianta Triatmadja ,&nbsp;Athaya Syifa Widha Rana ,&nbsp;Marcio Tahalele ,&nbsp;Ma'ruf Hadi Sutanto","doi":"10.1016/j.pdisas.2026.100596","DOIUrl":"10.1016/j.pdisas.2026.100596","url":null,"abstract":"<div><div>This study presents an integrated socio-technical evaluation of post-tsunami housing reconstruction implemented after the 2004 Indian Ocean tsunami in Aceh, Indonesia, nearly two decades after completion. The assessment covers four districts—Banda Aceh, Aceh Besar, Aceh Jaya, and Aceh Barat—and examines three interconnected dimensions: community perceptions of reconstructed housing, projected future tsunami exposure, and long-term structural performance of aid housing. A mixed-methods approach was applied, combining surveys of 108 housing occupants, field-based visual structural assessments, and tsunami inundation modeling under a hypothetical Mw 9.2 megathrust earthquake scenario based on the updated Indonesian seismic source framework. Results indicate that reconstructed settlements have generally evolved into stable residential environments supporting long-term socio-economic recovery. However, many housing clusters remain located within areas of moderate to high projected tsunami inundation, indicating persistent residual risk. Community acceptance appeared to be influenced by place attachment, livelihood dependence, and neighborhood cohesion, while concerns regarding construction quality and limited community participation were also identified. Visual assessments further revealed recurring deterioration affecting reinforced concrete elements, roofing systems, and building envelopes, potentially associated with prolonged environmental exposure and limited maintenance. Overall, the findings suggest that long-term reconstruction outcomes are shaped by interactions among social acceptance, hazard exposure, reconstruction quality, and maintenance capacity. The study highlights the importance of integrating risk-sensitive spatial planning, durable engineering standards, participatory reconstruction processes, and post-occupancy maintenance support to improve the sustainability and resilience of post-disaster housing reconstruction.</div></div>","PeriodicalId":52341,"journal":{"name":"Progress in Disaster Science","volume":"30 ","pages":"Article 100596"},"PeriodicalIF":3.8,"publicationDate":"2026-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148001625","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":"Corrigendum to ‘Climate resilience and collective action in Monrovia's coastal communities’ [Progress in Disaster Science 30 (2026) 100579]","authors":"Mohammed W. Bah,&nbsp;Nicola Ulibarri","doi":"10.1016/j.pdisas.2026.100602","DOIUrl":"10.1016/j.pdisas.2026.100602","url":null,"abstract":"","PeriodicalId":52341,"journal":{"name":"Progress in Disaster Science","volume":"30 ","pages":"Article 100602"},"PeriodicalIF":3.8,"publicationDate":"2026-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148241821","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":"Resilient infrastructure planning in refugee and internally displaced person settlements: A systematic review of scholarly and grey literature","authors":"Josue Godwe Gnowa ,&nbsp;Jasper Verschuur ,&nbsp;Tina Comes","doi":"10.1016/j.pdisas.2026.100575","DOIUrl":"10.1016/j.pdisas.2026.100575","url":null,"abstract":"<div><div>Refugee and internally displaced persons (IDPs) settlements are increasingly exposed to shocks such as rapid population influxes and extreme weather events, yet infrastructure planning in these contexts remains largely focused on static, reactive responses, often overlooking resilience. This study examines how resilience is conceptualized in infrastructure planning for refugee and IDP settlements and identifies the key constraints to its enhancement. To address this, we conduct a systematic literature review of scholarly (<em>n</em> = 75) and grey literature (<em>n</em> = 30), including only studies focused on infrastructure planning in refugee or IDP settlements. The selected studies are analyzed using a framework that categorizes them by infrastructure sectors, resilience dimensions, and constraints.</div><div>The findings reveal an uneven focus across infrastructure sectors, with shelter, energy, and WASH dominating the literature. Resilience in the scholarly literature is primarily conceptualized through robustness, adaptability, and transformability, with limited integration of preparedness and recovery, and these dimensions are rarely addressed holistically. Furthermore, resilience is constrained by interrelated factors, like resource limitations, weak coordination among actors, land ownership, and institutional constraints.</div><div>These results highlight the need for integrated, cross-sectoral planning approaches that incorporate underexplored infrastructure sectors, address underemphasized resilience dimensions, and embed refugee and IDP settlements within host countries' regional planning frameworks to alleviate constraints to resilience enhancement.</div></div>","PeriodicalId":52341,"journal":{"name":"Progress in Disaster Science","volume":"30 ","pages":"Article 100575"},"PeriodicalIF":3.8,"publicationDate":"2026-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147749813","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}