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气象因素与交通事故伤害关联性的系统评价

梁明明,  张允,  汪媛,  叶鹏鹏,  施婷婷,  闵敏,  邢秀雅,  段蕾蕾,  孙业桓

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文章导航 > 中华疾病控制杂志  > 2020 >  24(2): 222-227
梁明明, 张允, 汪媛, 叶鹏鹏, 施婷婷, 闵敏, 邢秀雅, 段蕾蕾, 孙业桓. 气象因素与交通事故伤害关联性的系统评价[J]. 中华疾病控制杂志, 2020, 24(2): 222-227. doi: 10.16462/j.cnki.zhjbkz.2020.02.019
引用本文: 梁明明, 张允, 汪媛, 叶鹏鹏, 施婷婷, 闵敏, 邢秀雅, 段蕾蕾, 孙业桓. 气象因素与交通事故伤害关联性的系统评价[J]. 中华疾病控制杂志, 2020, 24(2): 222-227. doi: 10.16462/j.cnki.zhjbkz.2020.02.019
shu
LIANG Ming-ming, ZHANG Yun, WANG Yuan, YE Peng-peng, SHI Ting-ting, MIN Min, XING Xiu-ya, DUAN Lei-lei, SUN Ye-huan. A systematic review on the association between meteorological factors with traffic accident injury[J]. CHINESE JOURNAL OF DISEASE CONTROL & PREVENTION, 2020, 24(2): 222-227. doi: 10.16462/j.cnki.zhjbkz.2020.02.019
Citation: LIANG Ming-ming, ZHANG Yun, WANG Yuan, YE Peng-peng, SHI Ting-ting, MIN Min, XING Xiu-ya, DUAN Lei-lei, SUN Ye-huan. A systematic review on the association between meteorological factors with traffic accident injury[J]. CHINESE JOURNAL OF DISEASE CONTROL & PREVENTION, 2020, 24(2): 222-227. doi: 10.16462/j.cnki.zhjbkz.2020.02.019
shu

气象因素与交通事故伤害关联性的系统评价

doi: 10.16462/j.cnki.zhjbkz.2020.02.019
  • 1.

    安徽医科大学公共卫生学院流行病与卫生统计学系

  • 2.

    中国疾病预防控制中心慢性非传染性疾病预防控制中心

  • 3.

    安徽省疾病预防控制中心慢性非传染性疾病防治科

  • 4.

    安徽医科大学循证医药学中心

梁明明和张允为共同第一作者
基金项目: 国家科技基础资源调查专项(2017FY101200)
详细信息
    通讯作者:

    段蕾蕾, E-mail:duanleilei@ncncd.chinacdc.cn

    孙业桓, E-mail:yhsun_ahmu_edu@yeah.net

  • 中图分类号: U492.8;P49

A systematic review on the association between meteorological factors with traffic accident injury

  • 1.

    Department of Epidemiology and Health Statistics, School of Public Health, Anhui Medical University, Hefei 230032, China

  • 2.

    Division of Injury Prevention and Mental Health, National Center for Chronic and Noncommunicable Disease Control and Prevention, Beijing 100050, China

  • 3.

    DepartmerU of Chronic and Noncommunicable Disease Control and Prevention, Anhui Provincial Center for Disease Control and Prevention, Hefei 230601, China

  • 4.

    Center for Evidence-Based Practice y Anhui Medical University, Hefei 230032, China

LIANG Ming-ming and ZHANG Yun contributed equally to the article
Funds: Special Foundation of Basic Science and Technology Resources Survey of Ministry of Science and Technology of China(2017FY101200)
More Information

    摘要
  • 摘要: 近年来, 气象因素对健康和伤害的影响受到越来越多的关注, 恶劣天气事件被认为可能是导致交通事故伤害发生的一项重要危险因素。大量的流行病学研究证据表明, 高温、降雨、降雪以及风速和能见度等气象因素与交通事故伤害的发生可能存在一定的联系。本文试图通过总结各种气象因素与交通事故伤害发生之间的关系, 归纳气象因素对交通事故伤害的影响, 系统评价气象因素与交通事故伤害之间的关联, 并对如何进一步开展相关研究进行了讨论。
    Abstract: In recent years, the impact of meteorological factors on health and injury has been paid more and more attention. Severe weather events were considered to be an important risk factor for traffic accident injuries. Evidence from a large number of epidemiological studies suggests that meteorological factors, including high temperatures, rainfall, snowfall, wind and visibility, might be related to the occurrence of traffic accidents. This systematic review attempts to summarize the current research status of meteorological factors on traffic accident injury, systematically review the relationship between meteorological factors and traffic accident injury, and discuss how to further carry out related research.
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  • 图  1  文献检索流程及结果

    Figure  1.  Flow diagram of the study selection process

    下载: 全尺寸图片 幻灯片

    表  1  文献基本特征的描述

    Table  1.   Characteristics of included studies

    序号 第一作者 发表年份 地点 研究持续时间 气象因素 模型方法 NOS评分
    1 Omranian[6] 2018 德克萨斯州(美国) 2015-2016 降雨 基于碰撞的配对分析 9
    2 杜正静[7] 2016 贵州省(中国) 2008-2014 能见度 - 6
    3 Gao[8] 2016 汕头(中国) 2003-2015 风速 多元线性回归分析 7
    4 Naik[9] 2016 内布拉斯加州(美国) 2009-2011 风速 随机参数有序Logistic和多项Logistic回归模型 8
    5 孙丽[10] 2016 辽宁(中国) 2010-2014 降雪 - 5
    6 Basagaňa[11] 2015 西班牙 2000-2011 温度 Poisson回归模型 8
    7 Seeherman[12] 2015 加利福尼亚州(美国) 2007-2013 降雪 Poisson回归和负二项式回归模型 8
    8 Bergel-Hayat[13] 2013 法国, 荷兰和雅典地区 1975-2005 温度 Poisson回归和负二项回归模型 7
    9 El-Basyouny[14] 2012 埃德蒙顿市(加拿大) - 降雪 多元回归模型 5
    10 Rosselló[15] 2011 巴利阿里群岛 2000-2006 温度 Poisson回归模型和负二项回归模型 8
    11 Abdel-Aty[16] 2011 佛罗里达州(美国) 2003-2007 能见度 多级有序Logistic模型 8
    12 Malyshkina[17] 2009 印地安那(美国) 1995-1999 温度 马尔可夫切换负二项模型 5
    13 Brijs[18] 2008 荷兰 2001-2012 温度 整数自回归模型 7
    14 Aguero-Valverde[19] 2006 宾夕法尼亚州(美国) 1996-2000 降雨 贝叶斯层次模型和负二项式模型 8
    15 Hermans[20] 2006 荷兰 2002-2003 风速 负二项回归模型 8
    16 Eisenberg[21] 2005 美国 1975-2000 降雪 负二项式回归模型 8
    17 Edwards[22] 1999 威尔士 1996-1997 能见度 - 5
    18 Edwards[23] 1998 英格兰和威尔士 1980-1990 能见度 - 5
    19 Nofal[24] 1997 利雅得(沙特阿拉伯) 1989-1993 温度 卡方检验与相关性检验 7
    20 Brown[25] 1997 魁北克(加拿大) 1989-1992 降雪 非线性相关模型 7
    21 Levine[26] 1995 火奴鲁鲁(美国) 1990-1991 风速 简单回归模型 7
    22 Fridstr⌀m[27] 1995 丹麦, 芬兰, 挪威和瑞典 1977-1987 降雪 Poisson回归模型 6
    23 Shankar[28] 1995 西雅图(美国) 1988-1993 降雪 负二项回归模型 8
    24 Andrey[29] 1993 卡尔加里和埃德蒙顿(加拿大) 1979-1983 降雨 - 7
    25 Baker[30] 1992 英国 1990 风速 - 6
    26 Jones[31] 1991 西雅图(美国) 1987-1989 降雨 Poisson回归模型 6
    27 Satterthwaite[32] 1976 加利福尼亚州(美国) 1970-1971 降雨 线性相关分析模型 5
    下载: 导出CSV
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  • 收稿日期:  2019-07-20
  • 修回日期:  2019-10-25
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