International journal of disaster risk reduction最新文献

{"title":"A review on the prevention and control of flash flood hazards on a global scale: Early warning systems, vulnerability assessment, environmental, and public health burden","authors":"Ghazi Al-Rawas ,&nbsp;Mohammad Reza Nikoo ,&nbsp;Malik Al-Wardy","doi":"10.1016/j.ijdrr.2024.105024","DOIUrl":"10.1016/j.ijdrr.2024.105024","url":null,"abstract":"<div><div>Flash floods' frequency and intensity are increasing because of climate change and their impact on communities. This paper aimed to critically review&gt;100 studies about the current evidence of flash floods across different global geographies, focusing on early warning systems, risk and vulnerability assessment, attributable mortality, toxic chemical exposures, and burden of diseases. Considering the infancy of flash flood studies, early warning systems have been well studied mostly in Europe (34 %), China (30 %), and South Asia (13 %). Evidence shows an increasing risk and vulnerability to flash floods. However, there are limited theoretical bases for selecting flash flood vulnerability/risk indicators and a lack of validation of the proposed indices. It was also found that flash floods not only cause increased death among developing countries but are also associated with the incidence of water-borne (e.g., Cholera) and vector-borne (e.g., malaria) diseases. There is evidence of a release of non-threshold toxic chemical contaminants into the environment during flash floods. The study also revealed the release of high-concentration levels of antibiotics in water bodies during flash flood events. Therefore, quantitative health risk assessment and epidemiological studies recommended to understand better the long-term health outcomes associated with these exposures. We recommend that future studies consider applying evidence-based variables and high-resolution data to develop early warning systems, especially in developing countries. Incorporating technologically based early warning systems can enhance lead times and issue reliable alerts and communications while reducing the number of deaths, diseases, and chemical contaminations in flood-prone areas.</div></div>","PeriodicalId":13915,"journal":{"name":"International journal of disaster risk reduction","volume":"115 ","pages":"Article 105024"},"PeriodicalIF":4.2,"publicationDate":"2024-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142756685","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"地球科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"How did COVID-19 pandemic impact the social integration process of poverty alleviation relocation? Insight from four rural communities","authors":"Wen Hu ,&nbsp;Weiyi Li ,&nbsp;Fang Zou ,&nbsp;Yi Jiang ,&nbsp;Yuquan Xie ,&nbsp;Michio Ubaura","doi":"10.1016/j.ijdrr.2024.105001","DOIUrl":"10.1016/j.ijdrr.2024.105001","url":null,"abstract":"<div><div>As China declared COVID-19 a \"Category B disease,\" marking the conclusion of a three-year pandemic prevention and control effort, rural communities—especially those involved in Poverty Alleviation Relocation (PAR) projects—have received limited research attention despite significant economic and psychological impacts. This study investigates how COVID-19 affected social integration between locals and migrants within these relocated rural communities. Using a PAR community typology based on spatial and demographic patterns, four types were identified: centralized, adjacent, enclave, and infill. Socio-spatial isolation indices assessed social and spatial isolation levels among migrants across three phases: 2019 (before the pandemic), 2021 (during the pandemic), and 2023 (after the pandemic). Comparative analysis across phases and community types revealed varying impacts of COVID-19 prevention measures. Key findings include:</div><div>1) COVID-19 temporarily enhanced social integration, with a V-shaped evolution in social isolation levels—an initial decrease followed by an increase.</div><div>2) Centralized communities demonstrated the most sustained integration, while adjacent and infill types were moderately affected in the short term, and enclave communities were the least affected.</div><div>3) Factors such as \"inequality between inside and outside groups,\" enhanced telecommunications, pandemic-related public activities, and spatial characteristics promoted interaction between locals and migrants.</div><div>This study enriches the understanding of COVID-19's social impacts on vulnerable communities, offering insights for disaster risk assessment and sustainable development strategies in pro-poor communities.</div></div>","PeriodicalId":13915,"journal":{"name":"International journal of disaster risk reduction","volume":"115 ","pages":"Article 105001"},"PeriodicalIF":4.2,"publicationDate":"2024-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142758948","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"地球科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Using simulations of future extreme weather events to escape the resilience trap: Experimental evidence from Hong Kong","authors":"T. van Gevelt ,&nbsp;J. Yang ,&nbsp;K.N. Chan ,&nbsp;L. Li ,&nbsp;F. Williamson ,&nbsp;B.G. McAdoo ,&nbsp;A.D. Switzer","doi":"10.1016/j.ijdrr.2024.105020","DOIUrl":"10.1016/j.ijdrr.2024.105020","url":null,"abstract":"<div><div>Hong Kong is a hyper-dense coastal city that has long learned to live with a potentially disastrous extreme weather event: tropical cyclones. This was largely a reactionary process, with investments in soft and hard infrastructure made in the aftermath of devastating tropical cyclones. While the experiences of devastating tropical cyclones remain strong in the collective memory of the city, Hong Kong's present-day resilience has led to complacency, especially among the general public. We suggest that Hong Kong may be caught in a resilience trap, where previous success in building resilience may be hindering the city's ability to adapt to the impacts of future tropical cyclones. We use downward counterfactual modelling and an experimental framework to test whether simulating and visualizing the impacts of a future tropical cyclone can substitute for first-hand experience and allow individuals to experientially process the expected future impacts of tropical cyclones. Using experimental data collected from a representative sample of the general population (<em>n</em> = <em>1240</em>), we find that simulating the impacts of a future tropical cyclone can partially substitute for first-hand experience, increase risk perceptions, and help Hong Kong escape the resilience trap.</div></div>","PeriodicalId":13915,"journal":{"name":"International journal of disaster risk reduction","volume":"115 ","pages":"Article 105020"},"PeriodicalIF":4.2,"publicationDate":"2024-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142758950","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"地球科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Profiling households through a combined vulnerability and flood exposure index in Ho Chi Minh City, Vietnam","authors":"Jiachang Tu ,&nbsp;Andrea Reimuth ,&nbsp;Nivedita Sairam ,&nbsp;Heidi Kreibich ,&nbsp;Antje Katzschner ,&nbsp;Nigel K. Downes ,&nbsp;Matthias Garschagen","doi":"10.1016/j.ijdrr.2024.105016","DOIUrl":"10.1016/j.ijdrr.2024.105016","url":null,"abstract":"<div><div>As climate risks escalate worldwide, comprehending the household-level vulnerability to flood is critical for sustainable adaptation, particularly in rapidly urbanizing cities like Ho Chi Minh City. This study develops a household vulnerability index to a flood exposure index within the frameworks of contextual vulnerability and the risk-hazard model. Using six sub-components of vulnerability, we assess a composite index through a detailed analysis of qualitative and quantitative data collected from a survey of 1000 households across four districts. A hierarchical weighting model and geostatistical analysis tools are employed to calculate the vulnerability index and examine the spatial patterns of vulnerability. The findings reveal three key insights into household-level vulnerability: First, the flood does not directly cause or strongly correlate with vulnerability in the survey households. Second, equal levels of general inequality do not imply similar distributions of vulnerability across specific components and areas. Third, vulnerability and flood risk tend to be more pronounced in urban than rural areas, with notable spatial clustering. This study provides insights that can guide policymakers in prioritizing adaptation, and enhancing understanding of the interactions between social vulnerability, hazard exposure, and household-centered adaptation. The study also highlights important considerations for inequality and climate finance, and underscores the need for future research on vulnerability across multiple scales.</div></div>","PeriodicalId":13915,"journal":{"name":"International journal of disaster risk reduction","volume":"115 ","pages":"Article 105016"},"PeriodicalIF":4.2,"publicationDate":"2024-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142756683","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"地球科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Prevalence and predictors of post-traumatic stress disorder among survivors of the 2023 earthquakes in Türkiye: The case of a temporary camp","authors":"Edip Kaya ,&nbsp;Ebru Inal Onal ,&nbsp;Sultanay Fatih ,&nbsp;Onur Güler","doi":"10.1016/j.ijdrr.2024.104976","DOIUrl":"10.1016/j.ijdrr.2024.104976","url":null,"abstract":"<div><div>This study aimed to evaluate the potential prevalence of post-traumatic stress disorder (PTSD) among survivors of the 2023 Türkiye earthquakes and determine the factors linked to the severity of PTSD. The cross-sectional study was conducted in a temporary camp in Hatay between January 27 and February 2, 2024, approximately one year after the earthquakes. Two researchers visited the camp and offered participation to all the adults who met the study criteria. A total of 412 adults agreed to participate in the study and completed the questionnaire. A survey was used to gather information on various variables related to the context before, during, and after an earthquake. In addition, the Post-Traumatic Diagnostic Scale and the Brief Resilience Scale were used to measure PTSD and resilience, respectively. The screening scale indicated that 17.5 % of participants met the criteria for probable “severe” and 36.2 % met the criteria for probable “moderate to severe” PTSD, approximately 12 months post-earthquake. Multiple linear regression analyses revealed that PTSD was predicted by various factors in the within-, pre-, and post-earthquake periods. Among pre-earthquake variables, sex (β = 0.100, p &lt; 0.05) and history of psychiatric illness (β = 0.098, p &lt; 0.01) predict PTSD. Among within-earthquake variables, severity of earthquake exposure (β = 0.190, p &lt; 0.001) predicted PTSD. Among post-earthquake variables, resilience (β = −0.378, p &lt; 0.001) was negatively associated with severity of PTSD. These findings underscore the significance of considering multiple factors when comprehending and addressing PTSD in the aftermath of a natural disaster.</div></div>","PeriodicalId":13915,"journal":{"name":"International journal of disaster risk reduction","volume":"114 ","pages":"Article 104976"},"PeriodicalIF":4.2,"publicationDate":"2024-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142661562","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"地球科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Understanding the involvement/exclusion paradox in disaster volunteering from a field-theoretical perspective","authors":"Sandra Maria Pichler","doi":"10.1016/j.ijdrr.2024.104913","DOIUrl":"10.1016/j.ijdrr.2024.104913","url":null,"abstract":"<div><div>In disasters, volunteers who have not been affiliated to official disaster response organisations are likely to enter the scene. Although such <em>unofficial responders</em> (UR) are increasingly recognised as a valuable resource in both research and practice, their full utilisation, integration, and cooperation with the <em>official response</em> (OR) is rare. Although researchers have increasingly examined the barriers and drivers of UR involvement, this “<em>involvement/exclusion paradox</em>”, coined by Harris et al. (2017), remains puzzling. Applying a field-theoretical perspective, this paper argues that disasters are critical moments in which the field itself is put under pressure at multiple focal points. For instance, UR who enter the scene and try to become involved jeopardize the field: they increase the number of involved agents, increase the competition over symbolic profit, and question the definition of proper disaster response. Taking a case-study of a mudslide disaster in the Austrian Alps, this paper examines the strategies by which OR tame pressure associated with UR. Three strategies were revealed: boundary definition, boundary defence, and boundary opening, which aim at establishing and upholding boundaries by increasing both their robustness and elasticity. The findings contribute to a theoretically underpinned understanding of UR involvement and encourage critical reflection on the relations between UR and OR by revealing tensions and latent conflicts.</div></div>","PeriodicalId":13915,"journal":{"name":"International journal of disaster risk reduction","volume":"114 ","pages":"Article 104913"},"PeriodicalIF":4.2,"publicationDate":"2024-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142578742","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"地球科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"A tropical cyclone risk prediction framework using flood susceptibility and tree-based machine learning models: County-level direct economic loss prediction in Guangdong Province","authors":"Jian Yang ,&nbsp;Sixiao Chen ,&nbsp;Yanan Tang ,&nbsp;Ping Lu ,&nbsp;Sen Lin ,&nbsp;Zhongdong Duan ,&nbsp;Jinping Ou","doi":"10.1016/j.ijdrr.2024.104955","DOIUrl":"10.1016/j.ijdrr.2024.104955","url":null,"abstract":"<div><div>Tropical cyclones (TCs), characterized by strong winds, heavy rainfall, storm surges, and flooding, have caused significant economic losses and fatalities in coastal regions globally. However, existing TC risk prediction frameworks often fail to adequately account for the direct impacts of flooding. In this study, we propose integrating flood susceptibility, a critical component of flood early warning systems, into TC risk prediction frameworks. Focusing on Guangdong Province, we employ four tree-based machine learning (ML) models (random forest, extreme gradient boosting, light gradient boosting machine, and categorical boosting) to predict county-level direct economic losses (DELs) based on flood susceptibility, oceanographic-meteorological data, and vulnerability data. These ML models are trained and tested on a dataset of 896 samples, achieving high prediction accuracies, with Pearson correlation coefficients exceeding 0.81 between the predicted and observed DEL values. Among the four models, the light gradient boosting machine demonstrates the best performance, achieving the highest values of R and R², and the lowest values of MSE, MAE, and MedAE. The integration of flood susceptibility is validated by comparing it with traditional methods that directly incorporate environmental factors. Furthermore, the proposed TC risk prediction framework is applied to forecast the impacts of Super Typhoon Mangkhut in 2018, illustrating its potential ability for “real-time” TC risk assessments. These “real-time” DEL predictions not only estimate potential losses but also facilitate timely interventions, thereby enhancing the practical value of the model for disaster prevention and response.</div></div>","PeriodicalId":13915,"journal":{"name":"International journal of disaster risk reduction","volume":"114 ","pages":"Article 104955"},"PeriodicalIF":4.2,"publicationDate":"2024-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142593316","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"地球科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Spatiotemporal evolution and influencing factors of flood resilience in Beibu Gulf Urban Agglomeration","authors":"Jiafeng Deng ,&nbsp;Rui Zhang ,&nbsp;Sheng Chen ,&nbsp;Zhi Li ,&nbsp;Liang Gao ,&nbsp;Yanping Li ,&nbsp;Chunxia Wei","doi":"10.1016/j.ijdrr.2024.104905","DOIUrl":"10.1016/j.ijdrr.2024.104905","url":null,"abstract":"<div><div>In the context of global climate change and rapid urbanization, enhancing flood resilience is essential for mitigating urban flood risk. However, few studies have conducted long-term, cross-scale dynamic evaluations of flood resilience and analyzed its influencing factors and mechanisms. Taking the Beibu Gulf urban agglomeration as the study area, a long-term, cross-scale dynamic evaluation index system based on the “Robustness-Resistance-Recovery” (3Rs) framework was developed to assess the spatiotemporal evolution of flood resilience from 2000 to 2020. Furthermore, the optimal parameters-based geographical detector model is employed to identify the key influencing factors and mechanisms. The results reveal that pre-flood robustness is lower in coastal areas and higher in inland areas. In the during-flood stage, cities with greater comprehensive power exhibit stronger resistance. Post-flood recovery is higher in city centers and marginal mountainous areas, while coastal and inland low-lying areas show lower recovery. The flood resilience of urban agglomerations has improved in recent years, largely due to the enhancement of urban flood control infrastructure and healthcare capacity. However, disparities between cities persist. From 2000 to 2020, economic factors have been the primary drivers of improved flood resilience, while ecological factors have gained increasing importance over the past decade. These findings provide valuable insights for flood prevention, mitigation, and resilience management in urban agglomerations. The developed dynamic evaluation index system offers a reference framework for evaluating flood resilience in other regions.</div></div>","PeriodicalId":13915,"journal":{"name":"International journal of disaster risk reduction","volume":"114 ","pages":"Article 104905"},"PeriodicalIF":4.2,"publicationDate":"2024-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142553224","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"地球科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Beyond social distancing: A phenomenological study of Iranian housewives' lived experiences during the COVID-19 pandemic in Tabriz","authors":"Samad Rasoulzadeh Aghdam ,&nbsp;Behnam Ghasemzadeh ,&nbsp;Zahra Sadeqi","doi":"10.1016/j.ijdrr.2024.104968","DOIUrl":"10.1016/j.ijdrr.2024.104968","url":null,"abstract":"<div><div>The COVID-19 pandemic and resulting social distancing requirements dramatically changed daily life, with distinct effects on housewives due to their traditional family roles. This study examined how housewives experienced social distancing policies and their trust in government actions during the early stages of the pandemic. Using a phenomenological approach, we conducted virtual focus group interviews through social media with 12 married housewives in Tabriz. Participants were selected through snowball sampling, with 5–8 individuals per session for effective group management. We analyzed the WhatsApp interviews, conducted from mid to late April 2022, using the seven-step Claisie method. The findings revealed that socio-economic pressures from the pandemic increased household tensions, particularly through verbal and nonverbal conflicts. Key challenges included adapting to virtual family communication instead of face-to-face interaction, dealing with anxiety about pandemic uncertainties, managing children's education, coping with family members' job losses, handling reduced household income, and taking on additional unpaid work. Participants also expressed skepticism toward official statistics, news reports, and government statements about controlling the pandemic. Other significant issues included changes in recreational activities, modifications to social ceremonies, a sense of personal insecurity, and declining trust in institutions.</div></div>","PeriodicalId":13915,"journal":{"name":"International journal of disaster risk reduction","volume":"114 ","pages":"Article 104968"},"PeriodicalIF":4.2,"publicationDate":"2024-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142723128","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"地球科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Smart management of emergencies in the agricultural, forestry, and animal production domain: Tackling evolving risks in the climate change era","authors":"Stefano Cesco ,&nbsp;Davide Ascoli ,&nbsp;Lucia Bailoni ,&nbsp;Gian Battista Bischetti ,&nbsp;Pietro Buzzini ,&nbsp;Monica Cairoli ,&nbsp;Luisella Celi ,&nbsp;Giuseppe Corti ,&nbsp;Marco Marchetti ,&nbsp;Giacomo Scarascia Mugnozza ,&nbsp;Simone Orlandini ,&nbsp;Andrea Porceddu ,&nbsp;Giovanni Gigliotti ,&nbsp;Fabrizio Mazzetto","doi":"10.1016/j.ijdrr.2024.105015","DOIUrl":"10.1016/j.ijdrr.2024.105015","url":null,"abstract":"<div><div>The agricultural, forestry, and animal production domain (AFA domain) plays an essential role in meeting global needs and supporting livelihoods while facing escalating challenges from climate change-induced impacts and extreme natural events. This perspective advocates for urgent strategies to enhance resilience through effective emergency management and prevention measures tailored to this critical domain. The analysis here exposed, which includes elements of ontology and the conceptual approach of an emergency management system encompassing both restoration and prevention aspects, entails three case studies across the AFA domain. Each case study, described by location, timing, nature, and consequences, critically evaluates the implemented risk prevention measures, details the emergency and recovery actions, and highlights shortcomings in response efforts. The analysis, incorporating a retrospective comparative component based on the proposed conceptual model, highlights the importance of identifying lessons learned and potential future applications. It emphasizes the urgent need for a well-structured emergency management strategy that integrates risk mapping and advanced technology to ensure timely and effective responses. The active engagement of domain professionals (agronomists, foresters, animal production doctors) and scholars of AFA domain sciences, as either farm owners or technical advisors, is crucial to optimize intervention strategies. This engagement is especially important for enhancing resilience during recovery phases, aligning with the best international practices such as making use of local knowledge and citizen engagement strategies. Comprehensive training initiatives, also adopting innovative formats and tools including micro-credentials, e-learning platforms, and the applications of generative Artificial Intelligence for learning assistance, as well as new research insights are strategic for coordinated and effective emergency responses across all stakeholders. Collaboration between the different production systems and areas of expertise, raising awareness of the distinction between <em>Civil Protection</em> and <em>Production Protection</em> and fostering their close interconnection, is essential for effective emergency response and long-term resilience.</div></div>","PeriodicalId":13915,"journal":{"name":"International journal of disaster risk reduction","volume":"114 ","pages":"Article 105015"},"PeriodicalIF":4.2,"publicationDate":"2024-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142723129","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"地球科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}