Risk Analysis最新文献_第10页

A risk-based unmanned aerial vehicle path planning scheme for complex air-ground environments. 复杂地空环境下基于风险的无人机路径规划方案。

IF 3 3区医学

Risk Analysis Pub Date : 2024-12-22 DOI: 10.1111/risa.17685

Kai Zhou, Kai Wang, Yuhao Wang, Xiaobo Qu

{"title":"A risk-based unmanned aerial vehicle path planning scheme for complex air-ground environments.","authors":"Kai Zhou, Kai Wang, Yuhao Wang, Xiaobo Qu","doi":"10.1111/risa.17685","DOIUrl":"https://doi.org/10.1111/risa.17685","url":null,"abstract":"Multifarious applications of unmanned aerial vehicles (UAVs) are thriving in extensive fields and facilitating our lives. However, the potential third-party risks (TPRs) on the ground are neglected by developers and companies, which limits large-scale commercialization. Risk assessment is an efficacious method for mitigating TPRs before undertaking flight tasks. This article incorporates the probability of UAV crashing into the TPR assessment model and employs an A* path-planning algorithm to optimize the trade-off between operational TPR cost and economic cost, thereby maximizing overall benefits. Experiments demonstrate the algorithm outperforms both the best-first-search algorithm and Dijkstra's algorithm. In comparison with the path with the least distance, initially, the trade-off results in a <math> <semantics><mrow><mn>1.88</mn> <mo>%</mo></mrow> <annotation>$1.88%$</annotation></semantics> </math> increase in distance while achieving an <math> <semantics><mrow><mn>89.47</mn> <mo>%</mo></mrow> <annotation>$89.47%$</annotation></semantics> </math> reduction in TPR. As the trade-off progresses, this relationship shifts, leading to a <math> <semantics><mrow><mn>20.62</mn> <mo>%</mo></mrow> <annotation>$20.62%$</annotation></semantics> </math> reduction in the distance with only a negligible increase in TPR by 0.0001, matching the TPR-cost-based algorithm. Furthermore, we conduct simulations on the configuration of UAV path networks in five major cities in China based on real-world travel data and building data. Results reveal that the networks consist of one-way paths that are staggered in height. Moreover, in coastal cities particularly, the networks tend to extend over the sea, where the TPR cost is trivial.","PeriodicalId":21472,"journal":{"name":"Risk Analysis","volume":" ","pages":""},"PeriodicalIF":3.0,"publicationDate":"2024-12-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142878046","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

The effects of risk preferences on consumers' reference-dependent choices for autonomous vehicles. 风险偏好对自动驾驶汽车消费者参考依赖选择的影响。

IF 3 3区医学

Risk Analysis Pub Date : 2024-12-22 DOI: 10.1111/risa.17692

Ya Liang, Lixian Qian, Yang Lu, Tolga Bektaş

{"title":"The effects of risk preferences on consumers' reference-dependent choices for autonomous vehicles.","authors":"Ya Liang, Lixian Qian, Yang Lu, Tolga Bektaş","doi":"10.1111/risa.17692","DOIUrl":"https://doi.org/10.1111/risa.17692","url":null,"abstract":"Advances in artificial intelligence (AI) are reshaping mobility through autonomous vehicles (AVs), which may introduce risks such as technical malfunctions, cybersecurity threats, and ethical dilemmas in decision-making. Despite these complexities, the influence of consumers' risk preferences on AV acceptance remains poorly understood. This study explores how individuals' risk preferences affect their choices among private AVs (PAVs), shared AVs (SAVs), and private conventional vehicles (PCVs). Employing a lottery experiment and a self-reported survey, we first derive four parameters to capture individuals' risk preferences. Based on a stated preference experiment and the error component logit model, we analyze reference-dependent preferences for key attributes of PAVs and SAVs, using PCVs as the reference. Our analysis reveals that risk-tolerant consumers are more inclined toward PAVs or SAVs. Further, consumers exhibit a greater sensitivity to losses, such as higher purchasing prices and running costs, than to gains, such as reduced egress time. Specifically, for buying a PAV, consumers are willing to pay 3582 CNY more for 1000 CNY saving on annual running cost, 3470 CNY for a 1-min reduction in egress time, 28,880 CNY for removing driver liability for crashes, and 30,710 CNY for the improved privacy data security. For adopting SAVs, consumers are willing to pay 0.096 CNY extra per kilometer for a 1-min reduction in access time and 0.033 CNY extra per kilometer for a 1% increase in SAV availability. Therefore, this study enhances the understanding on risk preferences in AV acceptance and offers important implications for stakeholders in the AI-empowered mobility context.","PeriodicalId":21472,"journal":{"name":"Risk Analysis","volume":" ","pages":""},"PeriodicalIF":3.0,"publicationDate":"2024-12-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142878049","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Enhancing risk and crisis communication with computational methods: A systematic literature review. 用计算方法加强风险和危机沟通：系统文献综述。

IF 3 3区医学

Risk Analysis Pub Date : 2024-12-15 DOI: 10.1111/risa.17690

Madison H Munro, Ross J Gore, Christopher J Lynch, Yvette D Hastings, Ann Marie Reinhold

{"title":"Enhancing risk and crisis communication with computational methods: A systematic literature review.","authors":"Madison H Munro, Ross J Gore, Christopher J Lynch, Yvette D Hastings, Ann Marie Reinhold","doi":"10.1111/risa.17690","DOIUrl":"https://doi.org/10.1111/risa.17690","url":null,"abstract":"Recent developments in risk and crisis communication (RCC) research combine social science theory and data science tools to construct effective risk messages efficiently. However, current systematic literature reviews (SLRs) on RCC primarily focus on computationally assessing message efficacy as opposed to message efficiency. We conduct an SLR to highlight any current computational methods that improve message construction efficacy and efficiency. We found that most RCC research focuses on using theoretical frameworks and computational methods to analyze or classify message elements that improve efficacy. For improving message efficiency, computational and manual methods are only used in message classification. Specifying the computational methods used in message construction is sparse. We recommend that future RCC research apply computational methods toward improving efficacy and efficiency in message construction. By improving message construction efficacy and efficiency, RCC messaging would quickly warn and better inform affected communities impacted by current hazards. Such messaging has the potential to save as many lives as possible.","PeriodicalId":21472,"journal":{"name":"Risk Analysis","volume":" ","pages":""},"PeriodicalIF":3.0,"publicationDate":"2024-12-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142829559","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Contagious risk: Nexus of risk in climate, epidemic, geopolitics, and economic. 传染性风险：气候、流行病、地缘政治和经济风险的联系。

IF 3 3区医学

Risk Analysis Pub Date : 2024-12-11 DOI: 10.1111/risa.17687

Hailing Li, Xiaoyun Pei, Hua Zhang

{"title":"Contagious risk: Nexus of risk in climate, epidemic, geopolitics, and economic.","authors":"Hailing Li, Xiaoyun Pei, Hua Zhang","doi":"10.1111/risa.17687","DOIUrl":"https://doi.org/10.1111/risa.17687","url":null,"abstract":"In recent years, \"black swan\" events have increasingly occurred across climate, epidemics, geopolitics, and economics, leading to a gradual coupling of different types of risk. Different from isolated shocks as a single type of risk affecting a specific industry, a nexus of risks allows one risk area to quickly relate to others, resulting in more catastrophic impacts. Utilizing an integrated framework, we investigate the contagion effects among climate policy uncertainty, the infectious disease equity market volatility tracker, geopolitical risk, and economic policy uncertainty using volatility, skewness, and kurtosis as risk measures. The results indicate that: (1) The contagion effect of different types of risk increases with higher order risk measures, suggesting that more extreme events are more likely to be contagious across domains. (2) Approximately two-thirds of risk contagion occurs contemporaneously, while about one-third occurs with a lag, indicating that risk contagion combines both immediacy and continuity. (3) Risk contagion exhibits significant time-varying and heterogeneous characteristics. Our study elucidates the inherent contagion characteristics between different types of risk, transforming the understanding of risk from a one-dimensional to a multidimensional perspective. This underscores that risk management should not be confined to a single domain; it is crucial to consider the potential impacts of risks from other industries on one's own.","PeriodicalId":21472,"journal":{"name":"Risk Analysis","volume":" ","pages":""},"PeriodicalIF":3.0,"publicationDate":"2024-12-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142814181","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

A community resilience index for place-based actionable metrics. 基于地点的可操作度量的社区弹性指数。

IF 3 3区医学

Risk Analysis Pub Date : 2024-12-06 DOI: 10.1111/risa.17684

Margot Habets, Susan L Cutter

{"title":"A community resilience index for place-based actionable metrics.","authors":"Margot Habets, Susan L Cutter","doi":"10.1111/risa.17684","DOIUrl":"https://doi.org/10.1111/risa.17684","url":null,"abstract":"Community resilience measurement to natural hazards is becoming increasingly relevant due to the growth of federal programs and local and state resilience offices in the United States. This study introduces a methodology to co-produce an actionable resilience metric to measure locally relevant and modifiable indicators of community resilience for the state of South Carolina. The \"actionable\" metrics, based on the Baseline Resilience Indicators for Communities (BRIC) index, are calculated at the county and tract scale and then compared to \"conventional\" versions of BRIC. Actionable BRICs perform better in reliability testing than conventional BRICs. Correlations across the two scales of BRIC construction show a stronger relationship between the actionable BRICs than conventional, though all are highly correlated. When mapped, actionable BRIC shows a shifted region of low resilience in the state when compared to conventional BRIC, suggesting that actionable and conventional BRICs are distinct. Scale differences show dissimilar drivers of resilience, with county-level resilience driven by community, social, and environmental resilience and tract-level resilience driven by social and institutional resilience. Actionable tract-level BRIC appears to be the best representation of modifiable resilience for South Carolina, but it comes with trade-offs, including calculation complexity and changing geographies over time. Regardless of scale, the resulting actionable indices offer a useful tracking mechanism for the state resilience office and highlight the importance of integrating top-down and bottom-up resilience perspectives to consider local drivers of resilience. The resulting methodology can be replicated in other states and localities to produce actionable and locally relevant resilience metrics.","PeriodicalId":21472,"journal":{"name":"Risk Analysis","volume":" ","pages":""},"PeriodicalIF":3.0,"publicationDate":"2024-12-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142792371","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

A risk science perspective on vaccines. 疫苗的风险科学视角。

IF 3 3区医学

Risk Analysis Pub Date : 2024-12-01 Epub Date: 2023-09-25 DOI: 10.1111/risa.14228

Ingrid Glette-Iversen, Terje Aven, Roger Flage

{"title":"A risk science perspective on vaccines.","authors":"Ingrid Glette-Iversen, Terje Aven, Roger Flage","doi":"10.1111/risa.14228","DOIUrl":"10.1111/risa.14228","url":null,"abstract":"Vaccines can be seen as one of the greatest successes in modern medicine. Good examples are the vaccines against smallpox, polio, and measles. Unfortunately, vaccines can have side effects, but the risks are considered by the health authorities and experts to be small compared to their benefits. Nevertheless, there are many who are skeptical of vaccination, something which has been very clearly demonstrated in relation to the COVID-19 disease. Risk is the key concept when evaluating a vaccine, in relation to both its ability to protect against the disease and its side effects. However, risk is a challenging concept to measure, which makes communication about vaccines' performance and side effects difficult. The present article aims at providing new insights into vaccine risks-the understanding, perception, communication, and handling of them-by adopting what is here referred to as a contemporary risk science perspective. This perspective clarifies the relationships between the risk concept and terms like uncertainty, knowledge, and probability. The skepticism toward vaccines is multifaceted, and influenced by concerns that extend beyond the effectiveness and safety of the vaccines. However, by clarifying the relationships between key concepts of risk, particularly how uncertainty affects risk and its characterization, we can improve our understanding of this issue.","PeriodicalId":21472,"journal":{"name":"Risk Analysis","volume":" ","pages":"2780-2796"},"PeriodicalIF":3.0,"publicationDate":"2024-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11669561/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"41144842","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Multiregional, multi-industry impacts of fairness on pandemic policies. 公平对流行病政策的多区域、多行业影响。

IF 3 3区医学

Risk Analysis Pub Date : 2024-12-01 Epub Date: 2023-04-25 DOI: 10.1111/risa.14143

Leili Soltanisehat, Kash Barker, Andrés D González

{"title":"Multiregional, multi-industry impacts of fairness on pandemic policies.","authors":"Leili Soltanisehat, Kash Barker, Andrés D González","doi":"10.1111/risa.14143","DOIUrl":"10.1111/risa.14143","url":null,"abstract":"The health and economic crisis caused by the COVID-19 pandemic highlights the necessity for a deeper understanding and investigation of state- and industry-level mitigation policies. While different control strategies in the early stages, such as lockdowns and school and business closures, have helped decrease the number of infections, these strategies have had an adverse economic impact on businesses and some controversial impacts on social justice. Therefore, optimal timing and scale of closure and reopening strategies are required to prevent both different waves of the pandemic and the negative socioeconomic impact of control strategies. This article proposes a novel multiobjective mixed-integer linear programming formulation, which results in the optimal timing of closure and reopening of states and industries in each. The three objectives being pursued include: (i) the epidemiological impact of the pandemic in terms of the percentage of the infected population; (ii) the social vulnerability index of the pandemic policy based on the vulnerability of communities to getting infected, and for losing their job; and (iii) the economic impact of the pandemic based on the inoperability of industries in each state. The proposed model is implemented on a dataset that includes 50 states, the District of Columbia, and 19 industries in the United States. The Pareto-optimal solutions suggest that for any control decision (state and industry closure or reopening), the economic impact and the epidemiological impact change in the opposite direction.","PeriodicalId":21472,"journal":{"name":"Risk Analysis","volume":" ","pages":"2906-2934"},"PeriodicalIF":3.0,"publicationDate":"2024-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"9524242","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

The foundations of influencing policy and practice: How risk science discourse shaped government action during COVID-19. 影响政策和实践的基础：风险科学话语如何在COVID-19期间影响政府行动。

IF 3 3区医学

Risk Analysis Pub Date : 2024-12-01 Epub Date: 2023-09-02 DOI: 10.1111/risa.14213

Duncan Shaw, Judy Scully

{"title":"The foundations of influencing policy and practice: How risk science discourse shaped government action during COVID-19.","authors":"Duncan Shaw, Judy Scully","doi":"10.1111/risa.14213","DOIUrl":"10.1111/risa.14213","url":null,"abstract":"COVID-19 demonstrated the complex manner in which discourses from risk science are manipulated to legitimize government action. We use Foucault's theory of Governmentality to explore how a risk science discourse shaped national and local government action during COVID-19. We theorize how national government policymakers and local government risk managers were objectified by (and subjectified themselves to) risk science models, results, and discourses. From this theoretical position we analyze a dataset, including observations of risk science discourse and 22 qualitative interviews, to understand the challenges that national government policymakers, risk scientists, and local government risk managers faced during COVID-19. Findings from our Foucauldian discourse analysis show how, through power and knowledge, competing discourses emerge in a situation that was disturbed by uncertainty-which created disturbed senders (policymakers and risk scientists) and disturbed receivers (risk managers) of risk science. First, we explore the interaction between risk science and policymakers, including how the disturbed context enabled policymakers to select discourse from risk science to justify their policies. This showed government's sociopolitical leveraging of scientific power and knowledge by positioning itself as being submissive to \"follow the science.\" Second, we discuss how risk managers (1) were objectified by the discourse from policymakers that required them to be obedient to risk science, and paradoxically (2) used the disturbed context to justify resisting government objectification through their human agency to subjectify themselves and take action. Using these concepts, we explore the foundation of risk science influence in COVID-19.","PeriodicalId":21472,"journal":{"name":"Risk Analysis","volume":" ","pages":"2889-2905"},"PeriodicalIF":3.0,"publicationDate":"2024-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11669564/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"10196759","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Lessons from the COVID-19 pandemic: Mortality impacts in Poland versus European Union. 2019冠状病毒病大流行的教训:波兰与欧盟的死亡率影响

IF 3 3区医学

Risk Analysis Pub Date : 2024-12-01 Epub Date: 2023-11-29 DOI: 10.1111/risa.14259

Zbigniew W Kundzewicz, Kristie L Ebi, Jerzy Duszyński

{"title":"Lessons from the COVID-19 pandemic: Mortality impacts in Poland versus European Union.","authors":"Zbigniew W Kundzewicz, Kristie L Ebi, Jerzy Duszyński","doi":"10.1111/risa.14259","DOIUrl":"10.1111/risa.14259","url":null,"abstract":"With COVID-19 moving toward an endemic phase, it is worthwhile to identify lessons from the pandemic that can promote the effective strengthening of national health systems. We look at a single country, Poland, and compare it with the European Union (EU) to contrast approaches and outcomes. Among possible relevant indices, we examine characteristics of COVID-19-related mortality and excess all-cause mortality from March 2020 to February 2022. We demonstrate that both the numbers of COVID-related deaths and all-cause deaths in Poland were much higher than the EU average for most months in the study period. We juxtapose the percentage of fully vaccinated population and cumulative COVID-19 deaths per million people for EU Member States and show that typically higher vaccination rates are accompanied by lower mortality. We also show that, in addition to medical science, the use of a risk science toolbox would have been valuable in the management of the COVID-19 pandemic in Poland. Better and more widespread understanding of risk perception of the pandemic and the COVID-19 vaccines would have improved managing vaccine hesitancy, potentially leading to more effective pro-vaccination measures.","PeriodicalId":21472,"journal":{"name":"Risk Analysis","volume":" ","pages":"2828-2839"},"PeriodicalIF":3.0,"publicationDate":"2024-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"138462405","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Predicting pharmaceutical supply chain disruptions before and during the COVID-19 pandemic. 预测 COVID-19 大流行之前和期间的药品供应链中断。

IF 3 3区医学

Risk Analysis Pub Date : 2024-12-01 Epub Date: 2024-08-30 DOI: 10.1111/risa.17453

Andrea C Hupman, Juan Zhang, Haitao Li

{"title":"Predicting pharmaceutical supply chain disruptions before and during the COVID-19 pandemic.","authors":"Andrea C Hupman, Juan Zhang, Haitao Li","doi":"10.1111/risa.17453","DOIUrl":"10.1111/risa.17453","url":null,"abstract":"Disruptions to the pharmaceutical supply chain (PSC) have negative implications for patients, motivating their prediction to improve risk mitigation. Although data analytics and machine learning methods have been proposed to support the characterization of probabilities to inform decisions and risk mitigation strategies, their application in the PSC has not been previously described. Further, it is unclear how well these models perform in the presence of emergent events representing deep uncertainty such as the COVID-19 pandemic. This article examines the use of data-driven models to predict PSC disruptions before and during the COVID-19 pandemic. Using data on generic drugs from the pharmacy supply chain division of a Fortune 500 pharmacy benefit management firm, we have developed predictive models based on the naïve Bayes algorithm, where the models predict whether a specific supplier or whether a specific product will experience a supply disruption in the next time period. We find statistically significant changes in the relationships of nearly all variables associated with product supply disruptions during the pandemic, despite pre-pandemic stability. We present results showing how the sensitivity, specificity, and false positive rate of predictive models changed with the onset of the COVID-19 pandemic and show the beneficial effects of regular model updating. The results show that maintaining model sensitivity is more challenging than maintaining specificity and false positive rates. The results provide unique insight into the pandemic's effect on risk prediction within the PSC and provide insight for risk analysts to better understand how surprise events and deep uncertainty affect predictive models.","PeriodicalId":21472,"journal":{"name":"Risk Analysis","volume":" ","pages":"2797-2811"},"PeriodicalIF":3.0,"publicationDate":"2024-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142111566","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0