International Journal of Injury Control and Safety Promotion最新文献

A systematic literature review on road safety management: land use, budget and legislation. 道路安全管理的系统文献综述：土地使用、预算和立法。

IF 2.3 4区医学

International Journal of Injury Control and Safety Promotion Pub Date : 2025-05-16 DOI: 10.1080/17457300.2025.2505738

Rahul Narayan, K Jayakesh

{"title":"A systematic literature review on road safety management: land use, budget and legislation.","authors":"Rahul Narayan, K Jayakesh","doi":"10.1080/17457300.2025.2505738","DOIUrl":"https://doi.org/10.1080/17457300.2025.2505738","url":null,"abstract":"Road safety is a significant developmental delinquent, an issue of public health, and a major global cause of demise and injury. Several research and review articles were focused on road safety concerning road characteristics, vehicle characteristics, and environment. However, a review article concerning land use, budget, and legislation towards road safety needs to be included. The present study reviewed literatures and reports on road safety concerning land use, budget, and legislation. The method used for review was \"Preferred reporting items for systematic reviews and meta-analyses (PRISMA)\". Initially, the paper discussed the impact of accidents concerning land use. The parameters such as crash type, crash cause, crash severity, traffic violation, infrastructural risk, operational hours, Traffic analysis Zone (TAZ) level crashes, on -network factors and medical service response were influenced by land use. Commercial area was more inclined to risk than other land use types. Later, budget section was examined, and it revealed that fuel subsidies, cost-effective strategies, and advertising budgets had a notable impact on reducing crashes. Road safety budget allocation strategies were impacted by significant parameter such as policy scenario and the performance indicator. Over 50% of road crash costs were related to injuries, while 10% of accident costs were related to delays. Indexes of road safety were reliant on budget. The study concluded by discussing the impact of legislation- changes to the traffic laws were successful in reduction of crashes, however, formulation of laws might or might not be successful in lowering casualities. Furthermore, \"being aware of the laws\" reduced collisions, as well public was persuaded in formulation of law for road safety. Finally, examination of three factors such as land use, budget, and legislation-found an incredible impact on road safety.","PeriodicalId":47014,"journal":{"name":"International Journal of Injury Control and Safety Promotion","volume":" ","pages":"1-18"},"PeriodicalIF":2.3,"publicationDate":"2025-05-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144081355","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"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

Pickup truck crash severity analysis via machine learning: policy insights for developing countries. 基于机器学习的皮卡碰撞严重程度分析：发展中国家的政策见解。

IF 2.3 4区医学

International Journal of Injury Control and Safety Promotion Pub Date : 2025-05-14 DOI: 10.1080/17457300.2025.2504975

Chamroeun Se, Thanapong Champahom, Sajjakaj Jomnonkwao, Tassana Boonyoo, Ampol Karoonsoontawong, Vatanavongs Ratanavaraha

{"title":"Pickup truck crash severity analysis via machine learning: policy insights for developing countries.","authors":"Chamroeun Se, Thanapong Champahom, Sajjakaj Jomnonkwao, Tassana Boonyoo, Ampol Karoonsoontawong, Vatanavongs Ratanavaraha","doi":"10.1080/17457300.2025.2504975","DOIUrl":"https://doi.org/10.1080/17457300.2025.2504975","url":null,"abstract":"This study pursues two complementary objectives: first, evaluating machine learning approaches for crash severity prediction to address methodological gaps in pickup truck crash analysis; second, systematically comparing single- versus multi-vehicle crash outcomes to understand distinct risk factors. Using Thailand crash data, the research compares Logistic Regression, Random Forest, XGBoost, and Deep Neural Network models, optimized with K-fold cross-validation and Bayesian Optimization, with SHAP employed for model interpretability. Results demonstrate that model performance varies significantly with injury classification schemes: XGBoost performed best for multiclass injury classification in both crash types, while Random Forest and Deep Neural Networks excelled in binary classification for single- and multi-vehicle crashes, respectively. The methodological analysis reveals the importance of both model selection and classification scheme in achieving optimal predictive performance. When applied to analyze crash factors, the models identified that both crash types are influenced by 4-lane roads, unlit roads, and barriers. Severity in single-vehicle crashes increases with fatigue, 2-lane roads, intra-province highways, and long holidays; in multi-vehicle crashes, severity is influenced by involvement of motorcycles or trucks, head-on collisions, and specific times of day. Factors reducing severity in single-vehicle crashes-such as concrete roads, defective vehicles, and hitting guardrails-do not significantly affect multi-vehicle crashes.","PeriodicalId":47014,"journal":{"name":"International Journal of Injury Control and Safety Promotion","volume":" ","pages":"1-21"},"PeriodicalIF":2.3,"publicationDate":"2025-05-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144081356","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"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

Identifying factors affecting crash injury severity of pillion riders using interpretable machine learning techniques. 使用可解释的机器学习技术识别影响坐骑碰撞损伤严重程度的因素。

IF 2.3 4区医学

International Journal of Injury Control and Safety Promotion Pub Date : 2025-05-10 DOI: 10.1080/17457300.2025.2501573

Anju K Panicker, Gitakrishnan Ramadurai

{"title":"Identifying factors affecting crash injury severity of pillion riders using interpretable machine learning techniques.","authors":"Anju K Panicker, Gitakrishnan Ramadurai","doi":"10.1080/17457300.2025.2501573","DOIUrl":"https://doi.org/10.1080/17457300.2025.2501573","url":null,"abstract":"In India, motorized two-wheeler (TW) riders account for 44.5% of fatal road crashes. While factors affecting drivers have been studied, research on pillion riders' injury severity remains limited. The study aims to identify factors causing severe injuries to pillion riders by developing an accurate prediction model. The study includes machine learning (ML) models, such as conditional inference tree, random forest (RF), gradient boosting, support vector machine, and a statistical model ordered probit for comparison. The study accounts for the imbalance in injury severity crash data by adopting data balancing techniques. Also, it recommends a combination of ML techniques, variable importance charts, and individual conditional expectation plots for identifying key variables and their effects. The finding suggests that RF trained in up-sampled data performs better than the remaining models. The presence of a central divider on the road reduces fatal injuries to pillion riders. The likelihood of getting severe injury is higher during nighttime crashes, TW-HMV (truck or bus) collisions, and hit-and-run crash cases where the colliding vehicle is unidentified. Older pillion riders are more vulnerable to sustaining fatal injuries in a crash. Crashes involving TWs hitting stationary objects and skidding are more fatal for pillion riders than other collision types.","PeriodicalId":47014,"journal":{"name":"International Journal of Injury Control and Safety Promotion","volume":" ","pages":"1-13"},"PeriodicalIF":2.3,"publicationDate":"2025-05-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144053992","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"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

Bayesian networks for identifying causal effects of factors on crash injury severity at signalized intersections. 贝叶斯网络识别信号交叉口碰撞损伤严重程度因素的因果关系。

IF 2.3 4区医学

International Journal of Injury Control and Safety Promotion Pub Date : 2025-04-30 DOI: 10.1080/17457300.2025.2495141

Qianwei Xuan, Guopeng Zhang, Shuwu Wei, Kun Li

{"title":"Bayesian networks for identifying causal effects of factors on crash injury severity at signalized intersections.","authors":"Qianwei Xuan, Guopeng Zhang, Shuwu Wei, Kun Li","doi":"10.1080/17457300.2025.2495141","DOIUrl":"https://doi.org/10.1080/17457300.2025.2495141","url":null,"abstract":"Signalized intersections are the areas where traffic crashes with severe injuries frequently happen. Although existing studies have explored the factors affecting crash injury severity at signalized intersections, intricate causal relationships between factors often fail to be captured. Thus, usage of Bayesian network reveals factors contributing to injury severity and the causal relationships between them, with the use of crash data extracted from the Crash Report Sampling System in 2021. The K2 algorithm and Expectation-Maximization algorithms are adopted for structure learning and parameter learning in Bayesian networks, respectively. The results indicate that 1) factors such as speeding, drunk driving, and use of airbags can significantly affect the injury severity, 2) causal relationships exist between distraction, running the red signal, collision type, and crash injury severity, and 3) compared to the random parameter logit model and random forest, Bayesian network has better accuracy in predicting the crash injury severity. The findings can serve to propose effective traffic safety intervention measures to reduce the injury severity of crashes at signalized intersections.","PeriodicalId":47014,"journal":{"name":"International Journal of Injury Control and Safety Promotion","volume":" ","pages":"1-9"},"PeriodicalIF":2.3,"publicationDate":"2025-04-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144040719","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"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

Exploring behavior shifts and sample selectivity issues among speeding single-vehicle crash-injury severities before-and-after the stay-at-home order. 探索行为转变和样本选择性问题超速单车辆碰撞伤害严重程度之前和之后的居家命令。

IF 2.3 4区医学

International Journal of Injury Control and Safety Promotion Pub Date : 2025-04-28 DOI: 10.1080/17457300.2025.2496346

Li Song, Yixuan Lin, Guojun Chen, Xin Zhao, Xuequan Zhang, Wei David Fan

{"title":"Exploring behavior shifts and sample selectivity issues among speeding single-vehicle crash-injury severities before-and-after the stay-at-home order.","authors":"Li Song, Yixuan Lin, Guojun Chen, Xin Zhao, Xuequan Zhang, Wei David Fan","doi":"10.1080/17457300.2025.2496346","DOIUrl":"https://doi.org/10.1080/17457300.2025.2496346","url":null,"abstract":"This study systematically explores the cause of the increase in single-vehicle speeding crash injury severities in California during and after the stay-at-home order. 27,696 speeding crashes on both highways and non-highways before-and-after the order are selected from the California Highway Patrol system. Specific countermeasures and implications of heterogeneity in means and variances are analyzed based on marginal effects. Out-of-sample simulations are employed to address two fundamental causes of the rise in injury severities: a shift in driver behaviors and the overrepresentation of riskier drivers. Results indicate that a shift towards more aggressive driving behaviors is the main reason for the increments of injury severities on highways after the order. The overrepresentation of riskier drivers is identified as the main cause during the order (both roadways) and on non-highways after the order. Since the predicted proportions on non-highway models before and during the order are closer compared to highways, this further suggests that local drivers are more inclined to violate the restriction and travel within neighborhoods during the order, which could contribute to the selectivity of riskier drivers. The findings of behavior shifts and sample selectivity issues provide valuable insights for future stay-at-home order practice, restriction improvement, and complementary policy development.","PeriodicalId":47014,"journal":{"name":"International Journal of Injury Control and Safety Promotion","volume":" ","pages":"1-13"},"PeriodicalIF":2.3,"publicationDate":"2025-04-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144040781","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"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

Road injuries to pedestrians and cyclists in mainland China: a scoping review of national policies from 2003 to 2023. 中国大陆行人和骑自行车者的道路伤害：2003 - 2023年国家政策的范围审查。

IF 2.3 4区医学

International Journal of Injury Control and Safety Promotion Pub Date : 2025-04-26 DOI: 10.1080/17457300.2025.2496343

Ya Gao, Siqing Zhang, Zhongxiang Feng, Ye Jin, Pengpeng Ye, Haozhe Cong, Julie Brown

{"title":"Road injuries to pedestrians and cyclists in mainland China: a scoping review of national policies from 2003 to 2023.","authors":"Ya Gao, Siqing Zhang, Zhongxiang Feng, Ye Jin, Pengpeng Ye, Haozhe Cong, Julie Brown","doi":"10.1080/17457300.2025.2496343","DOIUrl":"https://doi.org/10.1080/17457300.2025.2496343","url":null,"abstract":"Walking and cycling play crucial roles in reducing obesity and promoting health. However, pedestrians and cyclists are vulnerable road users, highlighting the need to implement policies to protect them. This study aimed to provide a systematic description of mainland China's national policies regarding pedestrian and cyclist road injuries over the past two decades, while identifying potential gaps according to measures proposed by the World Health Organization (WHO) to enhance pedestrian and cyclist road safety. A total of 28649 policies were examined, and eventually, 106 policies issued by 44 organizations were included, among which 23 were jointly developed. The results show an overall upward trend in policy quantity and a stable trend in policy intensity. Most of the WHO interventions had corresponding policy support in China, except for promoting the 'walking school bus' program and strengthening bicycle helmet-wearing. The findings of this study offer valuable insights for future policy development.","PeriodicalId":47014,"journal":{"name":"International Journal of Injury Control and Safety Promotion","volume":" ","pages":"1-10"},"PeriodicalIF":2.3,"publicationDate":"2025-04-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144056181","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"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

Surrogate safety assessment in heterogeneous traffic environment prevailing in developing countries: a systematic literature review. 发展中国家普遍存在的异质性交通环境中的替代安全评估：系统的文献综述。

IF 2.3 4区医学

International Journal of Injury Control and Safety Promotion Pub Date : 2025-04-25 DOI: 10.1080/17457300.2025.2494209

Ashutosh Kumar, Abhisek Mudgal

{"title":"Surrogate safety assessment in heterogeneous traffic environment prevailing in developing countries: a systematic literature review.","authors":"Ashutosh Kumar, Abhisek Mudgal","doi":"10.1080/17457300.2025.2494209","DOIUrl":"https://doi.org/10.1080/17457300.2025.2494209","url":null,"abstract":"Surrogate safety measures (SSMs) are widely used for proactive road safety assessments, reducing reliance on crash data. Despite their potential utility amid escalating road fatalities and lack of good quality crash data in developing countries, SSMs have been predominantly applied in developed countries, where traffic streams are homogeneous, and strict lane discipline is followed. In contrast, traffic in many developing countries (e.g. China and India) is characterized by vehicular heterogeneity and multi-vehicle interactions due to non-lane-based movements. This paper provides a systematic review of 102 peer-reviewed studies in developing countries focusing on vehicular conflicts in traffic streams with heterogeneous vehicle composition and disorderly movement. This review highlights the salient features and challenges associated with SSMs-based safety assessment in developing countries and outlines potential directions for future research. It examines data collection techniques, sample sizes, and the suitability of various conflict indicators for non-lane-based traffic. Additionally, the impact of vehicular heterogeneity on conflict modeling is analyzed. A detailed discussion of conflict segregation methodologies, threshold selection techniques, and modeling frameworks is provided. This review will likely assist in developing more efficient conflict-based safety assessment techniques in heterogeneous traffic, contributing to improved road safety in developing countries.","PeriodicalId":47014,"journal":{"name":"International Journal of Injury Control and Safety Promotion","volume":" ","pages":"1-19"},"PeriodicalIF":2.3,"publicationDate":"2025-04-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144053778","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"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

Analyzing key determinants of pedestrian risky behaviors at urban signalized intersections: insights from Kolkata City, India. 分析城市信号交叉口行人危险行为的关键决定因素：来自印度加尔各答市的见解。

IF 2.3 4区医学

International Journal of Injury Control and Safety Promotion Pub Date : 2025-04-23 DOI: 10.1080/17457300.2025.2494213

Dipanjan Mukherjee

{"title":"Analyzing key determinants of pedestrian risky behaviors at urban signalized intersections: insights from Kolkata City, India.","authors":"Dipanjan Mukherjee","doi":"10.1080/17457300.2025.2494213","DOIUrl":"https://doi.org/10.1080/17457300.2025.2494213","url":null,"abstract":"Risky pedestrian behaviors, such as signal violations, crossing from undesignated points, walking on the main carriageway instead of footpaths, and waiting at undesignated locations for buses, contribute to a significant number of pedestrian-vehicular collisions at urban signalized junctions in Indian cities. Therefore, identifying the factors influencing risky pedestrian behavior is crucial in urban India. A total of 59,409 pedestrians' road-using behavior was analyzed using video surveillance, complemented by on-site questionnaire responses from 3840 pedestrians regarding their risk perception, self-reported behaviors, and knowledge of traffic rules. Binary and ordered logit models were employed to assess the impact of the built environment, sociodemographic factors, and traffic enforcement on unsafe pedestrian actions. Results reveal a strong association between unsafe behavior and commercial zones, with young males more prone to signal violations and unsafe crossings. Further, poor lighting, inaccessible zebra crossings, on-street parking, lack of enforcement, and longer waiting times influence the likelihood of signal violations. A 1% increase in footpath encroachment by street vendors leads to an 18% rise in footpath underutilization. The lack of essential amenities and poor accessibility at bus stops discourages pedestrians from waiting at designated locations. Low educational levels and limited awareness of traffic rules exacerbate unsafe behaviors.","PeriodicalId":47014,"journal":{"name":"International Journal of Injury Control and Safety Promotion","volume":" ","pages":"1-29"},"PeriodicalIF":2.3,"publicationDate":"2025-04-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144065012","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"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

Socio-cultural context of road safety in youth: a scoping review. 青年道路安全的社会文化背景：范围审查。

IF 2.3 4区医学

International Journal of Injury Control and Safety Promotion Pub Date : 2025-04-17 DOI: 10.1080/17457300.2025.2487640

Nino Paichadze, Venkatesh Pandey, Imran Bari, Abdullah Tauqeer, Jesús Monclús, Adnan A Hyder

{"title":"Socio-cultural context of road safety in youth: a scoping review.","authors":"Nino Paichadze, Venkatesh Pandey, Imran Bari, Abdullah Tauqeer, Jesús Monclús, Adnan A Hyder","doi":"10.1080/17457300.2025.2487640","DOIUrl":"https://doi.org/10.1080/17457300.2025.2487640","url":null,"abstract":"Road traffic injuries (RTIs) are a leading cause of death globally, disproportionately affecting youth in low- and middle-income countries (LMICs). While behavioral factors significantly contribute to RTIs, the role of socio-cultural norms remains understudied. This scoping review examines 75 studies (2000-2020) to explore how social norms (descriptive, injunctive, subjective, and collective) and cultural factors influence road safety behaviors among young people. Findings reveal that norms shape behaviors such as risky driving, helmet/seatbelt use, and compliance with traffic laws, often moderated by cultural contexts like gender, media, and religion. Peer and familial influences emerged as both risk and protective factors, while collective norms in certain communities reinforced harmful practices like drunk driving. Gaps persist in understanding the interplay between culture and norms, particularly in LMICs. The review highlights the need for culturally tailored interventions and further research to address socio-cultural determinants of road safety.","PeriodicalId":47014,"journal":{"name":"International Journal of Injury Control and Safety Promotion","volume":" ","pages":"1-9"},"PeriodicalIF":2.3,"publicationDate":"2025-04-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143988005","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"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

An analysis of occupational illness and injuries of the industrial workers in slums. 贫民窟产业工人职业病与工伤分析。

IF 2.3 4区医学

International Journal of Injury Control and Safety Promotion Pub Date : 2025-04-06 DOI: 10.1080/17457300.2025.2486618

Shashwati Banerjee, Kishor Goswami

{"title":"An analysis of occupational illness and injuries of the industrial workers in slums.","authors":"Shashwati Banerjee, Kishor Goswami","doi":"10.1080/17457300.2025.2486618","DOIUrl":"https://doi.org/10.1080/17457300.2025.2486618","url":null,"abstract":"The achievement of Sustainable Development Goals 3 (Good Health and Well-Being) and 8 (Decent Work and Economic Growth) requires addressing the occupational health challenges and unsafe working conditions faced by industrial workers in slums, particularly migrant laborers lacking adequate training and literacy. This study examines health challenges among 320 slum-dwelling workers across 17 industries in West Bengal, categorized into civil/mechanical, textile, consumable, and chemical sectors. employed across 17 industries in West Bengal, categorized into civil/mechanical, textile, consumable, and chemical sectors. Using multi-stage random sampling, findings reveal that chronic illnesses are more prevalent in textile and consumable industries, while acute injuries dominate civil/mechanical and chemical sectors due to hazardous conditions. It may create a significant financial burden exacerbated by the absence of sick leave or insurance benefits. The study underscores the urgent need for industry-specific interventions, including accessible healthcare, safety training, and comprehensive insurance schemes. .","PeriodicalId":47014,"journal":{"name":"International Journal of Injury Control and Safety Promotion","volume":" ","pages":"1-10"},"PeriodicalIF":2.3,"publicationDate":"2025-04-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143796714","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"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