Please wait a minute...
文章检索
预防医学  2023, Vol. 35 Issue (8): 692-696    DOI: 10.19485/j.cnki.issn2096-5087.2023.08.010
  疾病控制 本期目录 | 过刊浏览 | 高级检索 |
气温对六安市水痘发病风险的影响研究
王瑶, 潘璠, 张欢, 陈亚飞, 秦伟
六安市疾病预防控制中心免疫预防科,安徽 六安 237008
Effect of temperature on the risk of varicella in Lu'an City
WANG Yao, PAN Fan, ZHANG Huan, CHEN Yafei, QIN Wei
Department of Immunization Planning, Lu'an Center for Disease Control and Prevention, Lu'an, Anhui 237000, China
全文: PDF(922 KB)  
输出: BibTeX | EndNote (RIS)      
摘要 目的 分析气温对安徽省六安市水痘发病风险的影响,为水痘防治提供参考。方法 通过中国疾病预防控制信息系统收集2010—2021年六安市水痘发病资料,通过国家气象科学数据中心和全国城市空气质量实时发布平台收集同期气象资料,建立分布滞后非线性模型(DLNM)分析气温对水痘日发病数的影响,并按性别和年龄进行亚组分析;建立随时间变化的DLNM分析极端低温和极端高温对水痘的累积发病风险及其随时间的变化趋势。结果 2010—2021年六安市共报告水痘病例25 318例,男性15 013例,占59.30%;女性10 305例,占40.70%。水痘日发病数MQR)为4(6)例,日均气温为17.50(15.80)℃,最低-5.80 ℃,最高34.90 ℃。DLNM分析结果显示,相对于中位温度,极端低温降低水痘发病风险(RR=0.522,95%CI:0.375~0.728),极端高温增加水痘发病风险(RR=1.604,95%CI:1.112~2.316);男性效应曲线与总人群类似(极端低温,RR=0.497,95%CI:0.331~0.746;极端高温,RR=1.978,95%CI:1.260~3.106);气温对水痘发病的影响主要集中于6~<13岁儿童(极端低温,RR=0.426,95%CI:0.247~0.736;极端高温,RR=2.431,95%CI:1.378~4.288)。随时间变化的DLNM分析结果显示,极端低温和极端高温累积风险值均呈逐年增加趋势(P<0.05)。结论 六安市低温可降低水痘发病风险,高温可增加水痘发病风险,且这一效应在男性和6~<13岁儿童中较为明显。极端低温和极端高温时水痘的累积发病风险呈逐年增加趋势。
服务
把本文推荐给朋友
加入引用管理器
E-mail Alert
RSS
作者相关文章
王瑶
潘璠
张欢
陈亚飞
秦伟
关键词 水痘气温极端气温随时间变化的分布滞后非线性模型    
AbstractObjective To examine the effect of temperature on the risk of varicella in Lu'an City, Anhui Province, so as to provide insights into varicella prevention and control. Methods Data on incidence of varicella in Lu'an City from 2010 to 2021 were collected from Chinese Disease Prevention and Control System, and meteorological data in Lu'an City were also collected from National Meteorological Science Data Center and China National Urban Air Quality Real-Time Publishing Platform during the same period. The effect of temperature on the risk of varicella was examined using a distributed lag non-linear model (DLNM) and subgroup analyses for gender and age were conducted. The effects of extremely low and high temperatures on the cumulative risk of varicella and trends in the cumulative risk of varicella over time were analyzed using a time-varying DLNM. Results Totally 25 318 varicella cases were reported in Lu'an City from 2010 to 2021, including 15 013 men (59.30%) and 10 305 women (40.70%). The median number of varicella cases was 4 (interquartile range, 6) cases, and the daily median air temperature was 17.50 (interquartile range, 15.80) ℃, with the lowest temperature recorded as -5.80 ℃ and the highest temperatures as 34.90 ℃. The results from the DLNM showed that the extremely low temperatures reduced the risk of varicella (RR=0.522, 95%CI: 0.375-0.728) in relative to median temperature, while extremely high temperature increased the risk of varicella (RR=1.604, 95%CI: 1.112-2.316). Subgroup analysis revealed the effect curve for men was similar to total populations (extremely low temperature: RR=0.497, 95%CI: 0.331-0.746; extremely high temperature: RR=1.978, 95%CI: 1.260-3.106), and the effect of temperature on varicella risk was mainly concentrated among children at ages of 6 to 12 years (extremely low temperature: RR=0.426, 95%CI: 0.247-0.736; extremely high temperature: RR=2.431, 95%CI: 1.378-4.288). The results from the time-varying DLNM revealed that the cumulative risk of varicella due to both extremely low and high temperatures appeared a tendency towards a rise over years (P<0.05). Conclusions Low temperature may reduce the risk of varicella, while high temperature increases the risk of varicella in Lu'an City, which is more remarkable among men and children at ages of 6 to 12 years. The cumulative risk of varicella at both extremely low and high temperatures shows a tendency towards a rise over years.
Key wordsvaricella    temperature    extreme temperature    time-varying distributed lag non-linear model
收稿日期: 2023-05-04      修回日期: 2023-07-01      出版日期: 2023-08-10
中图分类号:  R122  
通信作者: 秦伟,E-mail:luancdc@163.com   
作者简介: 王瑶,本科,主管医师,主要从事疫苗可预防传染病监测与控制工作
引用本文:   
王瑶, 潘璠, 张欢, 陈亚飞, 秦伟. 气温对六安市水痘发病风险的影响研究[J]. 预防医学, 2023, 35(8): 692-696.
WANG Yao, PAN Fan, ZHANG Huan, CHEN Yafei, QIN Wei. Effect of temperature on the risk of varicella in Lu'an City. Preventive Medicine, 2023, 35(8): 692-696.
链接本文:  
http://www.zjyfyxzz.com/CN/10.19485/j.cnki.issn2096-5087.2023.08.010      或      http://www.zjyfyxzz.com/CN/Y2023/V35/I8/692
[1] 潘璠,金正格,王瑶,等.2005—2019年六安市疫苗针对传染病突发公共卫生事件流行特征分析[J].预防医学,2021,33(7):715-717.
[2] 王金玉,李盛,马汉平,等.2008—2016年兰州市日均气温与水痘发病的关联性研究[J].中华预防医学杂志,2018,52(8):842-848.
[3] WANG Z,LI X,LI S,et al.Association between ambient temperature and varicella among adults in Qingdao,China during 2008-2019[J].Int J Environ Health Res,2022,33(2):1-10.
[4] LU J Y,ZHANG Z B,HE Q,et al.Association between climatic factors and varicella incidence in Guangzhou,Southern China,2006-2018[J/OL].Sci Total Environ,2020,728[2023-07-01].https://doi.org/10.1016/j.scitotenv.2020.138777.
[5] 赵琦,李珊珊,郭玉明.随时间变化的分布滞后非线性模型应用介绍:以气温与死亡关系为例[J].环境与职业医学,2020,37(1):9-14.
[6] GASPARRINI A,GUO Y,HASHIZUME M,et al.Temporal variation in heat-mortality associations:a multicountry study[J].Environ Health Perspect,2015,123(11):1200-1207.
[7] MOHAMMADI D,ZARE ZADEH M,ZARE SAKHVIDI M J.Short-term exposure to extreme temperature and risk of hospital admission due to cardiovascular diseases[J].Int J Environ Health Res,2021,31(3):344-354.
[8] YATIM A,LATIF M T,SOFWAN N M,et al.The association between temperature and cause-specific mortality in the Klang Valley,Malaysia[J].Environ Sci Pollut Res Int,2021,28(42):60209-60220.
[9] WANG J,YU L,DENG J,et al.Short-term effect of meteorological factors on the risk of rheumatoid arthritis hospital admissions:a distributed lag non-linear analysis in Hefei,China[J/OL].Environ Res,2022,207[2023-07-01].https://doi.org/10.1016/j.envres.2021.112168.
[10] 刘天,翁熹君,张丽杰,等.2010—2017年湖北省荆州市逐日气温对手足口病发病的影响[J].疾病监测,2019,34(9):855-860.
[11] ZHANG T,QIN W,NIE T,et al.Effects of meteorological factors on the incidence of varicella in Lu'an,Eastern China,2015-2020[J].Environ Sci Pollut Res Int,2023,30(4):10052-10062.
[12] 董蒲梅,王淼,刘燕敏.2016—2019年中国水痘流行病学特征[J].中国疫苗和免疫,2020,26(4):403-406.
[13] 随海田,李锦成,王淼,等.2005—2015年中国水痘流行病学特征[J].中国疫苗和免疫,2019,25(2):155-159.
[14] 许怀悦,王情,马润美,等.温度相关的疾病负担研究进展[J].山东大学学报(医学版),2021,59(12):13-19,32.
[15] LEE W,CHOI H M,KIM D,et al.Temporal changes in morality attributed to heat extremes for 57 cities in Northeast Asia[J].Sci Total Environ,2018,616/617:703-709.
[16] LU P,XIA G,ZHAO Q,et al.Temporal trends of the association between ambient temperature and hospitalisations for cardiovascular diseases in Queensland,Australia from1995 to 2016:a time-stratified case-crossover study[J/OL].PLoS Med,2020,17(7)[2023-07-01].https://doi.org/10.1371/journal.pmed.1003176.
[17] DÍAZ J,CARMONA R,MIRÓN I J,et al.Time trend in the impact of heat waves on daily mortality in Spain for a period of over thirty years(1983-2013)[J].Environ Int,2018,116:10-17.
[18] 刘凯,聂格格,张森.中国1951—2018年气温和降水的时空演变特征研究[J].地球科学进展,2020,35(11):1113-1126.
[1] 何飞, 马永法, 顾春艳, 潘铭, 陈万庚. 2005—2021年盐都区水痘流行特征[J]. 预防医学, 2023, 35(1): 61-64.
[2] 陈蓓蕾, 王瑶, 陈智超, 潘璠, 解少煜, 秦伟. 六安市1~12岁儿童水痘-带状疱疹病毒抗体水平调查[J]. 预防医学, 2022, 34(5): 503-506.
[3] 高波, 薛琦臻, 张俊锋, 潘冉冉, 孙烨祥. 2010—2020年鄞州区水痘流行特征分析[J]. 预防医学, 2021, 33(9): 913-915.
[4] 卢肇骏, 沈鹏, 孙烨祥, 潘兴强, 杨颖, 王炜豪, 郑卫军. 鄞州区2009—2018年出生儿童水痘疫苗接种保护效果分析[J]. 预防医学, 2021, 33(8): 804-807.
[5] 沈建勇, 张超, 罗小福, 徐秦儿, 陈奕晔. 湖州市1~12岁儿童水痘疫苗接种情况调查[J]. 预防医学, 2021, 33(6): 624-626.
[6] 黄恩妙, 王翠玲, 吕海英. 中山市1起小学水痘暴发疫情调查[J]. 预防医学, 2021, 33(4): 391-394.
[7] 刘勋, 孟秋雨. 江津区气温对感染性腹泻发病的影响研究[J]. 预防医学, 2021, 33(10): 1046-1049.
[8] 许玉洋, 刘艳, 张小平, 杜渐, 车鑫仁, 王骏, 顾雯雯, 张学潮, 江伟. 杭州市2~11岁儿童水痘减毒活疫苗接种情况调查[J]. 预防医学, 2020, 32(7): 689-691.
[9] 陈颖萍, 邓璇, 何寒青, 王慎玉, 梁贞贞, 胡晓松, 邢博, 吕华坤. 浙江省水痘暴发疫情流行特征分析[J]. 预防医学, 2020, 32(4): 366-369.
[10] 许小康, 孟祥梅, 王瑶, 解少煜, 龚鹏飞, 夏峰, 秦伟. 六安市某小学水痘暴发疫情突破病例分析[J]. 预防医学, 2020, 32(3): 289-291.
[11] 朱珠英, 周珊慧. 龙湾区健康人群水痘-带状疱疹病毒抗体水平调查[J]. 预防医学, 2020, 32(11): 1144-1146.
[12] 魏晶娇, 倪朝荣, 邵永强, 李万仓, 王志刚, 孙肖瑜, 刘可欣, 杨海燕. 2010—2018年温州市水痘流行特征分析[J]. 预防医学, 2020, 32(11): 1141-1143.
[13] 谷少华, 陆蓓蓓, 张良, 叶莉霞, 纪威, 王爱红, 许国章. 气温与儿童肺炎住院量的关系研究[J]. 预防医学, 2019, 31(7): 678-682.
[14] 李静, 王焕新, 屈龙, 赵明强, 徐颖, 刘玉秀, 李京, 刘起勇. 昌平区PM2.5和气温对日门诊量的交互影响[J]. 预防医学, 2019, 31(6): 593-596,599.
[15] 蒋薇薇,范引光,靳玉慧,崔光辉,祖萍,赵秀玲,毕方龙,田余红. 蜀山区水痘流行特征分析[J]. 预防医学, 2018, 30(9): 917-920.
Viewed
Full text


Abstract

Cited

  Shared   
  Discussed