Progress in Disaster Science最新文献

{"title":"Advancing disaster response with a comparative multisensor satellite imagery approach: The 2025 Palisades Fire in California","authors":"Samaneh Bagheri ,&nbsp;Sadra Karimzadeh ,&nbsp;Mehrdad Jeihouni ,&nbsp;Mojtaba Sadegh ,&nbsp;Eric J. Fielding ,&nbsp;Hiroyuki Miura","doi":"10.1016/j.pdisas.2026.100573","DOIUrl":"10.1016/j.pdisas.2026.100573","url":null,"abstract":"<div><div>Wildfires pose severe threats to lives, critical infrastructure, and ecosystems, particularly in urban–wildland interface settings where rapid situational awareness is essential for response and early recovery. This study presents a comparative multisensor satellite workflow for rapid wildfire damage assessment, demonstrated using the 2025 Pacific Palisades Fire (California) as a case study. We integrate Sentinel-2 optical imagery with ALOS-2 (L-band) and Sentinel-1 (C-band) synthetic aperture radar (SAR) data to map burned areas and characterize structural impacts. Burned regions are delineated using optical spectral indices, while SAR coherence and texture features support urban damage characterization, including conditions where optical observations are hindered by smoke or clouds. Results indicate that ALOS-2 achieved higher classification performance (84.64% accuracy, Kappa = 0.73) compared with Sentinel-1 (78.31% accuracy, Kappa = 0.61), underscoring the added value of L-band SAR for post-fire impact mapping. The event affected 92.99 km², including 92.05 km² of forest and 0.94 km² of residential areas. Beyond technical performance, the comparison highlights operational trade-offs relevant to disaster response, where higher-accuracy products must be balanced against data accessibility and acquisition frequency. Overall, the proposed multisensor analysis supports rapid post-fire assessment and provides actionable information for emergency response and evidence-based recovery planning in fire-prone regions.</div></div>","PeriodicalId":52341,"journal":{"name":"Progress in Disaster Science","volume":"30 ","pages":"Article 100573"},"PeriodicalIF":3.8,"publicationDate":"2026-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147702824","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":"Projected evolution of flood hazards under global warming in the Jhelum and Chenab River Basins of Pakistan: An integrated modeling approach","authors":"Ammara Mubeen,&nbsp;Umm e Habiba,&nbsp;Sajjad Haider,&nbsp;Zafar Iqbal,&nbsp;Hamza Farooq Gabriel,&nbsp;Shakil Ahmad,&nbsp;Muhammad Umar,&nbsp;Saad Ahmed Jamal","doi":"10.1016/j.pdisas.2026.100566","DOIUrl":"10.1016/j.pdisas.2026.100566","url":null,"abstract":"<div><div>Understanding how flood magnitudes may evolve under future climate conditions is critical for Pakistan. Accordingly, this study assesses climate change impacts on extreme hydrological responses across all return periods in the Jhelum and Chenab River basins, where high-flow regimes are governed by both monsoon rainfall and cryospheric contributions. An integrated modeling framework combining the physically based Integrated Flood Analysis System (IFAS) to simulate future extreme flows under synthesized climate scenarios, and the Rainfall Runoff Inundation (RRI) model was used to evaluate inundation extents using synthetic design hydrographs as unsteady flow boundary conditions. Climate data archives, including observed and reanalysis (1971–2004), and General Circulation Model (GCM) projections (2005–2099) under RCP 4.5 and RCP 8.5 scenarios, were utilized. Results suggest a likely decrease in projected flood magnitudes across most return periods during the twenty-first century, driven by increased temperatures, enhanced evapotranspiration, and changes in monsoon precipitation. The magnitude and timing of these changes vary across scenarios and climate models, indicating that reductions in flood magnitudes are scenario-dependent rather than deterministic, and should be interpreted as plausible trends under the selected climate forcings. The flood areas were also estimated for the projected floods corresponding to return levels of 10, 25, 50, 100, 200, 500, and 1000 years. The findings offer valuable decision-support information for sustainable flood risk management, climate adaptation planning, and the design of resilient infrastructure and land-use strategies, contributing to reduced environmental degradation and economic losses under future climate conditions.</div></div>","PeriodicalId":52341,"journal":{"name":"Progress in Disaster Science","volume":"30 ","pages":"Article 100566"},"PeriodicalIF":3.8,"publicationDate":"2026-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147657200","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":"Climate resilience and collective action in Monrovia's coastal communities","authors":"Mohammed W. Bah,&nbsp;Nicola Ulibarri","doi":"10.1016/j.pdisas.2026.100579","DOIUrl":"10.1016/j.pdisas.2026.100579","url":null,"abstract":"<div><div>Like many low-lying coastal nations, Liberia faces severe threats from sea level rise, coastal erosion, and flooding. These threats are particularly acute for residents of informal slum communities, who are relegated to high-hazard areas that lack basic infrastructure and are frequently overlooked by government officials. In addition, Liberia's limited national institutional capacity has left adaptation to coastal residents and other local stakeholders. This research examines how collective action shapes coastal climate adaptation strategies in two of the largest slum communities in Liberia, West Point and New Kru Town. Drawing on semi-structured interviews, this research investigates how residents experience and respond to coastal hazards, the role of government and civil society actors in supporting adaptation, and barriers to effective collective action. The study reveals disparities in government attention between the two communities, with New Kru Town receiving more infrastructural support than West Point, as well as gaps in government-community collaboration, funding limitations, and fragmented policy frameworks that undermine coastal resilience efforts. Despite these challenges, the communities sustain resilience through a variety of grassroots efforts. This study highlights the need for durable, government-backed solutions and stronger institutional accountability to support frontline communities in low-income, climate-vulnerable urban settings.</div></div>","PeriodicalId":52341,"journal":{"name":"Progress in Disaster Science","volume":"30 ","pages":"Article 100579"},"PeriodicalIF":3.8,"publicationDate":"2026-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147749815","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":"Integrating forecast-based action and government-led social protection programs for flood response","authors":"Rashel Mahmud,&nbsp;Sonia Binte Murshed,&nbsp;Faisal Mahmud Sakib,&nbsp;Shampa,&nbsp;Mashfiqus Salehin","doi":"10.1016/j.pdisas.2025.100506","DOIUrl":"10.1016/j.pdisas.2025.100506","url":null,"abstract":"<div><div>Floods are among the most pervasive natural hazards, frequently causing loss of livelihoods, population displacement, and setbacks to socio-economic development. Anticipatory approaches such as Forecast-based Action (FbA) have gained prominence for reducing disaster impacts by enabling early interventions triggered by forecast information. At the same time, many countries operate social protection (SP) systems that provide ongoing support to vulnerable groups. In Bangladesh, where recurrent riverine floods coincide with widespread poverty, both FbA and SP mechanisms exist, yet their complementarities remain underutilized. This study investigates how FbA can be linked with government-led SP programs to strengthen anticipatory flood response, using evidence from Chilmari Upazila during the 2020 flood event. A mixed-methods design was employed, combining household surveys, focus group discussions, key informant interviews, and geospatial analysis. Findings indicate that 15–17 % of FbA beneficiaries were already included in SP programs such as Old Age, Widow, and Disability Allowances, suggesting potential for rapid targeting through established lists. However, more than 90 % of affected households were not covered, revealing significant gaps in outreach. The study highlights that integrating FbA with SP offers a practical, scalable pathway to institutionalize anticipatory action and enhance resilience in flood-prone contexts.</div></div>","PeriodicalId":52341,"journal":{"name":"Progress in Disaster Science","volume":"29 ","pages":"Article 100506"},"PeriodicalIF":3.8,"publicationDate":"2026-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145926177","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":"Rural households' vulnerability to drought and implications for resilience: Insights from Bushbuckridge, Mpumalanga, South Africa","authors":"Farirai Rusere ,&nbsp;Nina Rholan Houngue ,&nbsp;Siyabusa Mkuhlani ,&nbsp;Gabriel Soropa ,&nbsp;Lori Hunter ,&nbsp;Wayne Twine ,&nbsp;Cyrus Samimi","doi":"10.1016/j.pdisas.2026.100520","DOIUrl":"10.1016/j.pdisas.2026.100520","url":null,"abstract":"<div><div>The increasing frequency of droughts in southern Africa is placing pressure on resource-dependent populations and constraining their ability to build resilience. This study investigates how rural communities in Bushbuckridge, Mpumalanga, South Africa, perceive and respond to <em>El Niño</em>-induced droughts. Using a mixed-methods approach, including surveys and interviews, this research examines household awareness, sensitivity, and adaptive capacity, as well as the factors shaping these dimensions. The findings show that households with greater climate awareness better recognize the potential impacts of <em>El Niño</em>-related drought on agriculture, livestock, and the local economy. Households with members engaged in local non-farm activities or migrant labor displayed higher adaptive capacity but also greater vulnerability in terms of sensitivity, as reliance on external income often reduced on-farm labor and adaptation efforts. Social networks emerged as both an asset, facilitating the spread of adaptation information, and a liability, sometimes reinforcing misinformation and delaying the uptake of science-based strategies. Gender dynamics also influenced adaptive capacity, with male-headed households generally having more resources and labor to implement adaptation measures. These findings highlight that resilience is not solely determined by material resources but emerges from the interaction of awareness, livelihood diversification, social relations, and gendered access to assets. The study underscores the need for resilience initiatives that strengthen local extension services, improve risk communication, and engage social networks while addressing gendered constraints, in order to support timely, informed, and equitable drought adaptation in rural communities.</div></div>","PeriodicalId":52341,"journal":{"name":"Progress in Disaster Science","volume":"29 ","pages":"Article 100520"},"PeriodicalIF":3.8,"publicationDate":"2026-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146077857","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":"Parametric modelling for temporary housing areas: Integrating multi-source standards with multi-objective optimisation","authors":"Merve Deniz Tak ,&nbsp;Mert Akay","doi":"10.1016/j.pdisas.2026.100519","DOIUrl":"10.1016/j.pdisas.2026.100519","url":null,"abstract":"<div><div>Post-disaster planning demands swift yet quality-conscious decision-making under extreme time pressure and cognitive load, conditions under which conventional approaches frequently fail. While extensive research addresses site selection through multi-criteria decision analysis and GIS-based methods, a critical gap persists in the computational generation of internal site layouts that algorithmically integrate humanitarian spatial standards from multiple institutional sources. This study develops a generative design framework integrating parametric modelling with multi-objective evolutionary optimisation to address this gap. It translates qualitative standards from the SPHERE Association, UNHCR, and national guidelines into quantitative design parameters for temporary housing areas. The methodology proceeds in three stages: (1) systematic extraction and synthesis of spatial parameters from international (SPHERE, UNHCR) and national (AFAD, Chamber of Urban Planners) sources; (2) parametric modelling in Rhino-Grasshopper® to encode design parameters; (3) multi-objective optimisation using NSGA-II genetic algorithms to balance shelter capacity maximisation and 500-m pedestrian accessibility to service hubs. Applied to Ümraniye National Garden, a pre-designated 15-ha temporary housing site in Istanbul, the framework generated 2500 design alternatives, identifying 50 Pareto-optimal configurations spanning capacity-accessibility trade-offs from high-density solutions (1737 units, 19% accessible within 500 m) to accessibility-optimised layouts (1222 units, 92% accessible). This research contributes a replicable, standards-informed computational workflow that systematically reconciles multi-source humanitarian standards and generates site layouts through multi-objective optimisation, advancing beyond component-level optimisation and evaluation-focused approaches. By providing decision-makers with diverse Pareto-optimal alternatives rather than single predetermined solutions, the framework shifts temporary housing design from static manual drafting toward agile, evidence-based generative processes suitable for crisis decision-making contexts.</div></div>","PeriodicalId":52341,"journal":{"name":"Progress in Disaster Science","volume":"29 ","pages":"Article 100519"},"PeriodicalIF":3.8,"publicationDate":"2026-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145977174","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":"“You can never unhear that”: Gendered mental health and emotional labor in civilian volunteer search-and-rescue organizations","authors":"Kyle Breen ,&nbsp;J. Carlee Purdum ,&nbsp;Michelle Annette Meyer ,&nbsp;Stuart Nolan","doi":"10.1016/j.pdisas.2026.100540","DOIUrl":"10.1016/j.pdisas.2026.100540","url":null,"abstract":"<div><div>Gender dramatically shapes how individuals respond to, experience, and recover from disasters. Past gender and disaster research has examined gendered roles, volunteerism, and mental health; however, little research has focused on the intersection of these topics. Drawing on data from ethnographic research with eight distinct civilian volunteer search and rescue (SAR) organizations, this research examined the mental and emotional health experiences of volunteers and how they discussed those experiences. Findings revealed that experiences were dictated by a gendered division of labor that positioned men in roles as boaters and women as back-end volunteers taking on roles as dispatchers and social media administrators. Boaters understood their experience through traditional masculine norms, minimizing and compartmentalizing their experiences while being framed as “the rescuer.” Back-end volunteers described mental health experiences differently due to their position as the “first point of contact” and expending additional emotional labor because of that position. The insights gained from this research provide evidence that gender is a critical structural element in how volunteers experience and discuss mental health in disaster settings.</div></div>","PeriodicalId":52341,"journal":{"name":"Progress in Disaster Science","volume":"29 ","pages":"Article 100540"},"PeriodicalIF":3.8,"publicationDate":"2026-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147395964","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":"Predicting and segmenting donor behavior under disaster exposure: A socio-technical and data-driven approach: Evidence from natural disasters in Chile","authors":"Luis Yáñez-Sandivari ,&nbsp;Sebastián Ríos ,&nbsp;Cristián Cáceres ,&nbsp;Angelo León","doi":"10.1016/j.pdisas.2025.100493","DOIUrl":"10.1016/j.pdisas.2025.100493","url":null,"abstract":"<div><div>This study presents an integrated socio-technical and data-driven framework to model the psychological and contextual determinants of donor behavior in disaster settings. From an artificial intelligence perspective, the research introduces a hybrid architecture that combines multigroup, multilevel, and confirmatory structural equation modeling (SEM) with a semi-supervised autoencoder-based clustering strategy for latent profile identification. A MIMIC (Multiple Indicators Multiple Causes) extension further links latent constructs to observable donation frequency, bridging attitudinal and behavioral dimensions of prosocial action.</div><div>From an engineering and humanitarian logistics perspective, this framework enhances the prediction and segmentation of donor behavior under disaster exposure. The model, based on survey data from disaster-affected individuals in Chile, incorporates validated constructs such as social vulnerability, solastalgia (emotional distress from environmental degradation), deprivation cost, resilience, and climate-related anxiety. Five distinct psychological donor profiles were identified, behaviorally validated, and linked to operational implications for mitigating material convergence and optimizing resource allocation.</div><div>The findings offer a socio-technical pathway to integrate psychosocial assessment with humanitarian logistics decision-making, advancing anticipatory capacity, behavioral forecasting, and equitable supply distribution. The study contributes a replicable framework that connects human-centered behavioral modeling with operational optimization, supporting more adaptive and resilient disaster response systems</div></div>","PeriodicalId":52341,"journal":{"name":"Progress in Disaster Science","volume":"29 ","pages":"Article 100493"},"PeriodicalIF":3.8,"publicationDate":"2026-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145738450","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":"RUSLE modeling and spatial approach in soil erosion-prone areas for erosion rate prediction and strengthening land use planning in the Battang River basin, Palopo City","authors":"Mukti Ali ,&nbsp;Abdul Rachman Rasyid ,&nbsp;Ihsan Ihsan ,&nbsp;Isfa Sastrawati ,&nbsp;Dewa Sagita Alfadin Nur ,&nbsp;Junichiro Asano ,&nbsp;Muh. Fachrul Razy Taufiq ,&nbsp;Ahmad Saiful Munir ,&nbsp;Andi Muthia Amalia Makkuaseng","doi":"10.1016/j.pdisas.2025.100499","DOIUrl":"10.1016/j.pdisas.2025.100499","url":null,"abstract":"<div><div>Land degradation from erosion remains a persistent challenge in tropical river basins. Yet, many assessments utilizing the Revised Universal Soil Loss Equation (RUSLE) do not explicitly quantify which factors most strongly influence erosion, leaving a gap in designing targeted and cost-effective interventions. This study addresses this methodological gap by integrating spatial RUSLE modeling with a quantitative sensitivity analysis to identify the dominant physical and land-use drivers of erosion in the Battang River Basin, Palopo City. Four parameters—rainfall erosivity (R), soil erodibility (K), slope characteristics (LS), and cover-management (CP)—were analyzed using field data, DEMNAS, and satellite imagery. Erosion rates range from light to extremely severe (15–450 t/ha/year), with the western basin exhibiting the highest values due to steep terrain and vegetation loss. Sensitivity results demonstrate that LS and CP exert the strongest influence on erosion variability, with CP showing the highest sensitivity coefficient among the manageable factors, indicating its strategic role in rapid mitigation. These findings highlight the added value of integrating RUSLE with sensitivity analysis to strengthen erosion-related decision-support. The study concludes that erosion-risk maps and factor sensitivities should guide municipal spatial planning, particularly the Palopo City Spatial Plan, by informing zoning and conservation priorities. Key mitigation options include infiltration holes in residential areas, bench terraces on steep slopes, and targeted vegetation rehabilitation on critically degraded land, supported by community-based slope management and improved land-use practices.</div></div>","PeriodicalId":52341,"journal":{"name":"Progress in Disaster Science","volume":"29 ","pages":"Article 100499"},"PeriodicalIF":3.8,"publicationDate":"2026-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145738453","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":"Strengthening climate resilience in coastal Bangladesh: Analyzing the role of NGOs in adaptation governance from an intersectionality lens","authors":"Md. Mujahidul Islam ,&nbsp;Abu Reza Md Towfiqul Islam","doi":"10.1016/j.pdisas.2025.100498","DOIUrl":"10.1016/j.pdisas.2025.100498","url":null,"abstract":"<div><div>Non-governmental organizations (NGOs) significantly contribute to the promotion of local adaptation and resilience strategies in climate-vulnerable areas, including coastal Bangladesh. However, most prior studies have focused on project outcomes and governance frameworks, often neglecting the intersectional dimensions of vulnerability, such as gender, disability, and income, and how these affect perceptions of NGO efficacy. To address this gap, this study examines the effectiveness of NGO-led adaptation initiatives from an intersectional perspective in the Koira and Shyamnagar upazilas of southwest coastal Bangladesh. This study employed a mixed-methods approach, combining survey data (<em>n</em> = 230) with qualitative insights from Key Informant Interviews (KIIs) and Focus Group Discussions (FGDs). Quantitative findings reveal structural inequities, with individuals with disabilities and women being significantly underrepresented in NGO programs (χ² = 24.88, <em>p</em> &lt; .001; <em>t</em> = −3.47, <em>p</em> = .001; and χ² = 34.42, p &lt; .001; <em>t</em> = −5.75, p &lt; .001, respectively). While 27 % of respondents claimed that NGOs prioritize disadvantaged groups, nearly half (48.3 %) disagreed. Qualitative data also echoed these concerns, illustrating patterns of favoritism, political interference, and tokenistic inclusion that undermine equity and transparency. The findings indicate that, although NGOs are critically essential for their considerable contributions to climate adaptation and resilience, they often face governance challenges that compromise their credibility and equitable results. This study demonstrates that fortifying accountability, diminishing elite capture, and integrating gender- and disability-sensitive frameworks into program design are essential for augmenting legitimacy and resilience. By foregrounding the interconnections among vulnerability, intersectionality, and governance, this study advances scholarly debates on adaptation governance in the Global South. Despite limitations in geographic coverage and representativeness, the research stresses the importance of justice-oriented and participatory approaches in NGO-led climate adaptation.</div></div>","PeriodicalId":52341,"journal":{"name":"Progress in Disaster Science","volume":"29 ","pages":"Article 100498"},"PeriodicalIF":3.8,"publicationDate":"2026-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145738452","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}