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山东大学学报 (医学版) ›› 2018, Vol. 56 ›› Issue (8): 95-100.doi: 10.6040/j.issn.1671-7554.0.2018.165

• • 上一篇    

南宁市2008~2011年气象因素对手足口病的影响及其交互作用

刘言玉1,刘志东1,劳家辉1,张静1,姜宝法1,2   

  1. 1.山东大学公共卫生学院流行病学系, 山东 济南 250012;2.山东大学气候变化与健康研究中心, 山东 济南 250012
  • 发布日期:2022-09-27
  • 通讯作者: 姜宝法. E-mail:bjiang@sdu.edu.cn
  • 基金资助:
    国家科技基础资源调查专项(2017FY101202)

Effect of meteorological factors and their interaction on hand-foot-mouth disease in Nanning City, China during 2008 to 2011

LIU Yanyu1, LIU Zhidong1, LAO Jiahui1, ZHANG Jing1, JIANG Baofa1,2   

  1. 1.Department of Epidemiology, School of Public Health, Shandong University, Jinan 250012, Shandong, China;
    2. Shandong University Climate Change and Health Center, Jinan 250012, Shandong, China
  • Published:2022-09-27

摘要: 目的 分析气象因素对南宁市手足口病发生的影响及各气象因素间的交互作用。 方法 收集2008年1月1日至2011年12月31日期间南宁市手足口病周发病资料,采用广义相加模型分析气象因素对手足口病发病的影响,并利用该模型探讨气象因素间的交互作用。 结果 南宁市手足口病发病与平均气温和降雨量均呈非线性关系。随着平均气温的升高发病数不断增加,在24 ℃左右达到最高峰,随后随着温度的升高而逐渐降低;手足口病发病数随降雨量的增多不断增加,到40 mm左右时达到峰值,随后发病数随着降雨量的增多而逐渐减少。平均气温与平均相对湿度、平均风速均有一定的交互作用,高温低湿和适宜温度下的高风速可促进手足口病发生。 结论 平均气温、降雨量等气象因素对手足口病发生均有非线性影响,各气象因素间有一定的交互作用。

关键词: 手足口病, 气象因素, 交互作用, 平均温度

Abstract: Objective To analyze the influence of meteorological factors and their interaction on hand-foot-mouth disease(HFMD)in Nanning City, China. Methods Weekly data of HFMD cases in Nanning City during 2008 to 2011 were collected. Generalized additive model was used to evaluate the influence of meteorological factors on the incidence of HFMD, and the interaction among meteorological factors was explored. Results The meteorological factors had nonlinear effect on HFMD. The number of cases of the disease increased continuously with the increase of the average temperature, and reached the peak at around 24 ℃, then decreased gradually as the temperature increased. However, the number of HFMD cases gradually decreased with the increase of rainfall after the peak at 40 mm. The average temperature had a certain interaction with relative humidity and average wind speed. The number of HFMD cases increased under the condition of high temperature and low humidity, and high wind speeds under the suitable temperature. Conclusion The average temperature, rainfall and other meteorological factors have nonlinear effects on the incidence of HFMD, and there is certain interaction among the meteorological factors.

Key words: Hand-foot-mouth disease, Meteorological factors, Interaction, Average temperature

中图分类号: 

  • R181.3
[1] 蒋丽娜, 谭毅, 王晶, 等. 2008~2015年广西手足口病流行病学特征及时空聚集性分析[J]. 中华疾病控制杂志, 2017, 21(4): 340-344. JIANG Lina, TAN Yi, WANG Jing, et al. Epidemiological characteristics and temporal-spatial clustering of hand, foot and mouth disease in Guangxi from 2008 to 2015[J]. Chinese Journal of Disease Control & Prevention, 2017, 21(4): 340-344.
[2] 杜志成, 张王剑, 郝元涛. 中国大陆气象因素与手足口病发病相关关系的Meta分析[J]. 中国卫生统计, 2016, 33(5): 803-805.
[3] 向伦辉, 袁国平, 杨兴堂, 等. 上海市宝山区手足口病与气象因素关系的反向传播神经网络模型研究[J]. 中华疾病控制杂志, 2015, 19(2): 138-141. XIANG Lunhui, YUAN Guoping, YANG Xingtang, et al. The model of back-propagation neural network about meteorological factors and hand-foot-mouth disease in Baoshan District, Shanghai City[J]. Chinese Journal of Disease Control & Prevention, 2015, 19(2): 138-141.
[4] Chen C, Lin H, Li X, et al. Short-term effects of meteorological factors on children hand, foot and mouth disease in Guangzhou, China[J]. Int J Biometeorol, 2014, 58(7): 1605-1614.
[5] Xiao X, Gasparrini A, Huang J, et al. The exposure-response relationship between temperature and childhood hand, foot and mouth disease: A multicity study from mainland China[J]. Environ Int, 2017, 100: 102-109.
[6] Urashima M, Shindo N, Okabe N. Seasonal models of herpangina and hand-foot-mouth disease to simulate annual fluctuations in urban warming in Tokyo[J]. Jpn J Infect Dis, 2003, 56(2): 48-53.
[7] Mentzakis E, Delfino D. Effects of air pollution and meteorological parameters on human health in the city of Athens, Greece[J]. Int J Environ Pollut, 2010, 40: 210-225.
[8] 王超, 方立群, 曹务春, 等. 基于Bayes时空分析探讨气象因素对手足口病的影响[J]. 中华流行病学杂志, 2015, 36(5): 476-480. WANG Chao, FANG Liqun, CAO Wuchun, et al. Analysis on impact of meteorological factors on incidence of hand, foot and mouth disease based on Bayes spatial-temporal theory[J]. Chinese Journal of Epidemiology, 2015, 36(5):476-480.
[9] 李丽丽, 刘起勇, 林华亮, 等. 北京市房山区手足口病与气象因素的时间序列分析[J]. 疾病监测, 2015, 30(6): 458-462. LI Lili, LIU Qiyong, LIN Lianghua, et al. Time series analysis on impact of meteorological factors on incidence of hand foot and mouth disease in Fangshan District of Beijing[J]. Disease Surveillance, 2015, 30(6): 458-462.
[10] 中华人民共和国卫生部. 手足口病诊疗指南(2010年版)[J]. 中国社区医师, 2010, 30(21): 5.
[11] Xu M, Yu W, Tong S, et al. Non-linear association between exposure to ambient temperature and childrens hand-foot-and-mouth disease in Beijing, China[J]. Plos One, 2015, 10(5): e0126171. doi: 10.1371/journal.pone.0126171. eCollection 2015.
[12] 陈生长, 徐勇勇, 夏结来. 光滑样条非参数回归方法及医学应用[J]. 中国卫生统计, 1999(6): 342-345.
[13] Wood SN, Augustin NH. GAMs with integrated model selection using penalized regression splines and applications to environmental modelling[J]. Ecol Model, 2002, 157(2): 157-177.
[14] Ver Hoef JM, Boveng PL. Quasi-Poisson vs. negative binomial regression: how should we model overdispersed count data?[J]. Ecology, 2007, 88(11): 2766-2772.
[15] 江河. 带有惩罚函数的多元线性回归分析模型的调节参数的选择[D].兰州: 兰州大学, 2012.
[16] Hii YL, Rockl VJ, Ng N. Short term effects of weather on hand, foot and mouth disease[J]. Plos One, 2011, 6(2): e16796. doi: 10.3402/gha.v7.24664.
[17] Onozuka D, Hashizume M. The influence of temperature and humidity on the incidence of hand, foot, and mouth disease in Japan[J]. Sci Total Environ, 2011, 410-411: 119-125.
[18] 胡跃华, 肖革新, 郭莹, 等. 2008~2011年中国大陆手足口病流行特征分析[J]. 中华疾病控制杂志, 2014, 18(8): 1674-1679. HU Yuehua, XIAO Gexin, GUO Ying, et al. The epidemic features of the hand, foot, and mouth disease during 2008-2011 in China[J]. Chinese Journal of Disease Control & Prevention, 2014, 18(8): 1674-1679.
[19] Druytis-voets E. Epidemiological features of entero non-poliovirus isolations in Belgium 1980-94[J]. Epidemiol Infect, 1997, 119(1): 71-77.
[20] 金美彤, 崔大伟, 谢国良, 等. 2012~2013年浙江省手足口病流行病学和病原学特征分析[J]. 中国微生态学杂志, 2016, 28(7): 799-803.
[21] 陈正荣, 季伟, 王宇清, 等. 苏州地区手足口病与气候因素的相关性分析[J]. 中华传染病杂志, 2012, 30(10): 609-612. CHEN Zhengrong, JI Wei, WANG Yuqing, et al. Association between activity of hand, foot and mouth disease and meteorological factors in Suzhou[J]. Chinese Journal of Infectious Diseases, 2012, 30(10): 609-612.
[22] Feng H, Duan G, Zhang R, et al. Time series analysis of hand-foot-mouth disease hospitalization in Zhengzhou: establishment of forecasting models using climate variables as predictors[J]. Plos One, 2014, 9(1): e87916. doi: 10.1371/journal.pone.0087916.
[23] 吴一峰, 赵凤敏, 贺天锋, 等. 分布滞后非线性模型评估室外温度及湿度对手足口病发病的影响[J]. 浙江预防医学, 2016, 28(2): 121-124. WU Yifeng, ZHAO Fengmin, HE Tianfeng, et al. A study on the effect of external temperature and relative humidity on hand, foot and mouth disease by DLNM model[J]. Zhejiang Journal of Preventive Medicine, 2016, 28(2): 121-124.
[24] 欧志英, 尹应先, 吴韶清, 等. 广州地区手足口病爆发流行的分子流行病学和气象学研究(英文)[J]. 热带医学杂志, 2016, 16(8): 971-975. OU Zhiying, YIN Yingxian, WU Shaoqing, et al. Molecular epidemiology and meteorology of hand, foot and mouth disease in Guangzhou during a highly pandemic period[J]. Journal of Tropical Medicine, 2016, 16(8): 971-975.
[25] Zhang Z, Xie X, Chen X, et al. Short-term effects of meteorological factors on hand, foot and mouth disease among children in Shenzhen, China: Non-linearity, threshold and interaction[J]. Sci Total Environ, 2016, 539: 576-582.
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