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环境因素对水痘发病影响的研究进展

栾桂杰 张伟燕 刘少楠 陈萌 孙靓

栾桂杰, 张伟燕, 刘少楠, 陈萌, 孙靓. 环境因素对水痘发病影响的研究进展[J]. 中华疾病控制杂志, 2024, 28(1): 101-107. doi: 10.16462/j.cnki.zhjbkz.2024.01.016
引用本文: 栾桂杰, 张伟燕, 刘少楠, 陈萌, 孙靓. 环境因素对水痘发病影响的研究进展[J]. 中华疾病控制杂志, 2024, 28(1): 101-107. doi: 10.16462/j.cnki.zhjbkz.2024.01.016
LUAN Guijie, ZHANG Weiyan, LIU Shaonan, CHEN Meng, SUN Liang. A review on the impact of environmental factors on the incidence of chickenpox[J]. CHINESE JOURNAL OF DISEASE CONTROL & PREVENTION, 2024, 28(1): 101-107. doi: 10.16462/j.cnki.zhjbkz.2024.01.016
Citation: LUAN Guijie, ZHANG Weiyan, LIU Shaonan, CHEN Meng, SUN Liang. A review on the impact of environmental factors on the incidence of chickenpox[J]. CHINESE JOURNAL OF DISEASE CONTROL & PREVENTION, 2024, 28(1): 101-107. doi: 10.16462/j.cnki.zhjbkz.2024.01.016

环境因素对水痘发病影响的研究进展

doi: 10.16462/j.cnki.zhjbkz.2024.01.016
基金项目: 

“齐鲁卫生与健康杰出青年人才”项目 Luwei Talent Word 〔2020〕 No.3

山东省医药卫生科技发展计划项目 202012050267

详细信息
    通讯作者:

    栾桂杰,E-mail: luanguijie@sina.com

  • 中图分类号: R122

A review on the impact of environmental factors on the incidence of chickenpox

Funds: 

"Qilu Health Outstanding Young Talents" Project Luwei Talent Word 〔2020〕 No.3

Shandong Medical and Health Science and Technology Development Plan Project 202012050267

More Information
  • 摘要:   目的  综合分析气象因素和大气污染等环境因素对水痘发病的影响。  方法  在中国知网、万方、Web of Science、PubMed等数据库检索2021年12月31日前发表的环境因素与水痘发病关系的文献,对纳入研究的基本信息、方法和结果等进行整理分析。  结果  共纳入19项气象因素研究和3项大气污染研究。气温、相对湿度和降水的变化会造成水痘发病的增多,大气压、风速、日照等与水痘发病之间的相关性存在地区差异;PM2.5、PM10和NO2等大气污染物会增加水痘发病的风险。  结论  气象因素和大气污染等环境因素暴露会影响水痘的发病,需采取针对性的防护措施。
  • 图  1  文献检索流程

    Figure  1.  Flow diagram of articles included

    表  1  气象因素相关研究的基本特征

    Table  1.   Basic characteristics of included meteorological factors studies

    序号
    No.
    参考文献
    References
    发表年份
    Year of publication
    国家/地区
    Country/Region
    研究方法
    Method
    气象因素
    Meteorological factor
    主要结果(相关性)
    Results (correlation)
    1 Kokaze, 等[6]
    Kokaze, et al[6]
    2001 日本
    Japan
    Spearman相关分析
    Spearman correlation analysis
    气温
    Temperature
    正相关
    Positive correlation
    2 Wu, 等[7]
    Wu, et al[7]
    2007 中国台湾
    Taiwan, China
    广义估计方程
    Generalized estimating equations
    气温
    Temperature
    负相关
    Negative correlation
    3 Chan, 等[8]
    Chan, et al [8]
    2011 中国香港
    Hong Kong, China
    Spearman相关分析
    Spearman correlation analysis
    气温、相对湿度、降水
    Temperature, humidity, rainfall
    相对湿度、降水负相关
    Negative correlation with humidity and rainfall
    4 金飒, 等[9]
    Jin Sa, et al[9]
    2013 中国孝感
    Xiaogan, China
    Spearman相关分析
    Spearman correlation analysis
    气温、相对湿度、降水
    Temperature, humidity, rainfall
    无相关性
    No correlation
    5 韩微笑[10]
    Han Weixiao[10]
    2014 中国广州
    Guangzhou, China
    分布滞后非线性模型
    Distributed lag nonlinear model
    气温
    Temperature
    正相关
    Positive correlation
    6 Chan, 等[11]
    Chan, et al [11]
    2014 中国香港
    Hong Kong, China
    病例交叉研究
    Case-crossover study
    气温、大气压、相对湿度、风速、降水
    Temperature, atmospheric pressure, humidity, wind speed, rainfall
    气温、大气压正相关;相对湿度负相关
    Positive correlation with temperature and atmospheric pressure; Negative correlation with humidity
    7 Hervás, 等[12]
    Hervás, et al[12]
    2014 西班牙马洛卡
    Mallorca, Spain
    Spearman相关分析
    Spearman correlation analysis
    气温、相对湿度、降水、水汽压、大气压、风速、日照
    Temperature, humidity, rainfall, vapor pressure, atmospheric pressure, wind speed, sunshine
    气温、水汽压负相关;风速、日照正相关
    Negative correlation with temperature and vapor pressure; Positive correlation with wind speed and sunshine
    8 魏晓娟, 等[13]
    Wei Xiaojuan,
    et al[13]
    2014 中国临沂
    Linyi, China
    Spearman相关分析
    Spearman correlation analysis
    气温、风速、降水、日照、大气压
    Temperature, wind speed, rainfall, sunshine, atmospheric pressure
    气温、日照正相关;大气压负相关
    Positive correlation with temperature and sunshine; Negative correlation with atmospheric pressure
    9 Yang, 等[14]
    Yang, et al[14]
    2015 中国上海
    Shanghai, China
    广义加性模型
    Generalized additive model
    气温
    Temperature
    负相关
    Negative correlation
    10 Harigane, 等[15]
    Harigane, et al[15]
    2015 日本
    Japan
    Spearman相关分析
    Spearman correlation analysis
    气温、相对湿度、降水
    Temperature, humidity, rainfall
    气温、降水季节相关性
    Seasonal correlation with temperature and rainfall
    11 Yang, 等[16]
    Yang, et al[16]
    2016 中国济南
    Jinan, China
    泊松回归
    Poisson regression
    气温、大气压、相对湿度、风速、降水、日照
    Temperature, atmospheric pressure, humidity, wind speed, rainfall, sunshine
    大气压、日照、降水正相关;气温、相对湿度负相关
    Positive correlation with atmospheric pressure, sunshine and rainfall; Negative correlation with temperature and humidity
    12 Chen, 等[17]
    Chen, et al[17]
    2017 中国武汉、香港
    Wuhan and Hong Kong, China
    时间序列分析
    Time-series analysis
    气温、相对湿度和降水
    Temperature, humidity, rainfall
    气温、降水季节相关性
    Seasonal correlation with temperature and rainfall
    13 王金玉, 等[18]
    Wang Jinyu,
    et al[18]
    2018 中国兰州
    Lanzhou, China
    Spearman相关分析、分布滞后非线性模型
    Spearman correlation analysis, distributed lag nonlinear model
    气温、大气压、风速、相对湿度、降水
    Temperature, atmospheric pressure, wind speed, humidity, rainfall
    气温、风速、降水、相对湿度负相关;大气压正相关
    Negative correlation with temperature, wind speed, rainfall and humidity; Positive correlation with atmospheric pressure
    14 Sumi[19] 2018 丹麦、芬兰
    Denmark, Finland
    时间序列分析
    Time-series analysis
    气温
    Temperature
    季节相关性
    Seasonal correlation
    15 罗玲, 等[20]
    Luo Ling, et al[20]
    2018 中国湖北
    Hubei, China
    Spearman相关分析
    Spearman correlation analysis
    气温、相对湿度、降水、日照
    Temperature, humidity, rainfall, sunshine
    季节相关性
    Seasonal correlation
    16 叶雯婧, 等[21]
    Ye Wenjing,
    et al[21]
    2019 中国福建
    Fujian, China
    广义线性模型
    Generalized linear model
    气温、降水、风速、相对湿度、大气压
    Temperature, rainfall, wind speed, humidity, atmospheric pressure
    气温、相对湿度、风速负相关;降水、大气压正相关
    Negative correlation with temperature, humidity and wind speed; Positive correlation with rainfall and atmospheric pressure
    17 Lu, 等[22]
    Lu, et al [22]
    2020 中国广州
    Guangzhou, China
    分布滞后非线性模型
    Distributed lag nonlinear model
    气温、降水、大气压、风速、相对湿度、日照
    Temperature, rainfall, atmospheric pressure, wind speed, humidity, sunshine
    降水、大气压、日照正相关;风速负相关
    Positive correlation with rainfall, atmospheric pressure and sunshine; Negative correlation with wind speed
    18 俞佳珂, 等[23]
    Yu Jiake, et al[23]
    2021 中国温州
    Wenzhou, China
    线性回归、多元回归
    Linear regression, multiple regression
    气温、相对湿度、降水、风速
    Temperature, humidity, rainfall, wind speed
    降水、风速负相关
    Negative correlation with rainfall and wind speed
    19 邱海岩, 等[24]
    Qiu Haiyan,
    et al[24]
    2021 中国张家港
    Zhangjiagang, China
    Spearman相关分析、多元回归
    Spearman correlation analysi, multiple regression
    气温、大气压、相对湿度、降水、风速、日照
    Temperature, atmospheric pressure, humidity, rainfall, wind speed, sunshine
    季节相关性
    Seasonal correlation
    下载: 导出CSV

    表  2  大气污染相关研究的基本特征

    Table  2.   Basic characteristics of included air pollution studies

    序号
    No.
    参考文献
    References
    发表年份
    Year of publication
    国家/地区
    Country/Region
    研究方法
    Method
    空气污染因素
    Air pollution factor
    主要结果(相关性)
    Result (correlation)
    1 李平, 等[25]
    Li Ping, et al[25]
    2019 中国天津
    Tianjin, China
    Spearman相关分析
    Spearman correlation analysi
    PM2.5、PM10、SO2、NO2、CO PM2.5、PM10、NO2正相关
    Positive correlation with PM2.5、PM10、NO2
    2 Yu, 等[26]
    Yu, et al [26]
    2020 中国上海
    Shanghai, China
    分布滞后非线性模型
    Distributed lag nonlinear model
    PM10、NO2、O3、SO2、CO PM10正相关
    Positive correlation with PM10
    3 Wang, 等[27]
    Wang, et al [27]
    2021 中国青岛
    Qingdao, China
    分布滞后非线性模型
    Distributed lag nonlinear model
    PM10、PM2.5、NO2、SO2、O3 PM2.5正相关、高浓度NO2负相关、低浓度NO2正相关
    Positive correlation with PM2.5, negative correlation with high concentration NO2, positive correlation with low concentration NO2
    下载: 导出CSV
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出版历程
  • 收稿日期:  2022-03-10
  • 修回日期:  2022-06-04
  • 网络出版日期:  2024-02-05
  • 刊出日期:  2024-01-10

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