Advanced Search

CN 34-1304/RISSN 1674-3679

Volume 28 Issue 11
Nov.  2024
Turn off MathJax
Article Contents
LIU Yingying, SU Tong, XUE Weicong, ZHAO Wenna, XIE Yun, WEI Yamei, YU Qiuli, HAN Xu, LI Qi. The relationship between the incidence of hand, foot and mouth disease and the impact of meteorological factors in a certain city, 2017-2019[J]. CHINESE JOURNAL OF DISEASE CONTROL & PREVENTION, 2024, 28(11): 1355-1360. doi: 10.16462/j.cnki.zhjbkz.2024.11.018
Citation: LIU Yingying, SU Tong, XUE Weicong, ZHAO Wenna, XIE Yun, WEI Yamei, YU Qiuli, HAN Xu, LI Qi. The relationship between the incidence of hand, foot and mouth disease and the impact of meteorological factors in a certain city, 2017-2019[J]. CHINESE JOURNAL OF DISEASE CONTROL & PREVENTION, 2024, 28(11): 1355-1360. doi: 10.16462/j.cnki.zhjbkz.2024.11.018

The relationship between the incidence of hand, foot and mouth disease and the impact of meteorological factors in a certain city, 2017-2019

doi: 10.16462/j.cnki.zhjbkz.2024.11.018
Funds:

Medical Science Research Subject of Hebei Province 20231181

Major Medical Scientific Research Subject of Hebei Province zd2013068

More Information
  • Corresponding author: LI Qi, E-mail: liqinew@126.com
  • Received Date: 2024-05-10
  • Rev Recd Date: 2024-09-13
  • Available Online: 2024-12-23
  • Publish Date: 2024-11-10
  •   Objective  To investigate the influence of meteorological factors on the incidence of hand, foot and mouth disease (HFMD) and their lagged effects.  Methods  Hourly meteorological data for a certain city from 2017 to 2019 were obtained from the China Meteorological Data Network, while daily incidence data for HFMD in a certain city during the same period were retrieved from the China Information System for Disease Control and Prevention. Using these two datasets, a distributed lag non-linear model (DLNM) was constructed.  Results  With reference to the median values of meteorological factors, the cumulative risk of HFMD exhibited a pattern of initial increase followed by decrease as temperature rose, forming an S-shaped curve. Specifically, a protective effect was observed when the daily average temperature was between -8.5 ℃ and -4.0 ℃ with a lag of 6 to 23 days. At a daily average temperature of -8.5 ℃ with a lag of 7 days, the risk of HFMD was at its lowest (RR=0.741, 95% CI: 0.583-0.941). Similarly, a protective effect was noted for daily average atmospheric pressure between 1 015 and 1 038 hPa with a lag of 4 to 25 days. At a daily average pressure of 1 038 hPa with a lag of 25 days, the risk of HFMD was at its minimum (RR=0.706, 95% CI: 0.540-0.924).  Conclusions  HFMD is influenced by meteorological factors. High temperatures increase the risk of HFMD, although their impact on incidence rates is unstable. Conversely, low temperatures and high atmospheric pressures reduce the risk of HFMD, and all three factors exhibit a discernible lagged effect.
  • loading
  • [1]
    Chen YJ, Sun WW, Ling F, et al. Seasonality and meteorological factors associated with different hand, foot, and mouth disease: serotype-specific analysis from 2010 to 2018 in Zhejiang Province, China [J]. Front Microbiol, 2022, 13: 901508. DOI: 10.3389/fmicb.2022.901508.
    [2]
    降惠, 尹振保, 武丽娟, 等. Apriori算法在手足口病与气象因素关系分析中的应用[J]. 智能计算机与应用, 2021, 17(7): 124-128. DOI: 10.3969/j.issn.2095-2163.2021.07.023.

    Jiang H, Yin ZB, Wu LJ, et al. Application of Apriori algorithm in the analysis of the relationship between hand-foot-mouth disease and meteorological factors [J]. Intelligent Computer and Applications, 2021, 17(7): 124-128. DOI: 10.3969/j.issn.2095-2163.2021.07.023.
    [3]
    Zhang C, Wang XJ, Sun DP, et al. Modification effects of long-term air pollution levels on the relationship between short-term exposure to meteorological factors and hand, foot, and mouth disease: a distributed lag non-linear model-based study in Shandong Province, China [J]. Ecotoxicol Environ Saf, 2024, 272: 116060. DOI: 10.1016/j.ecoenv.2024.116060.
    [4]
    Gasparrini A. Modeling exposure-lag-response associations with distributed lag non-linear models [J]. Stat Med, 2014, 33(5): 881-899. DOI: 10.1002/sim.5963.
    [5]
    Gasparrini A. Distributed Lag Linear and Non-Linear Models in R: The Package dlnm [J]. J Stat Softw, 2011, 43(8): 1-20. DOI: 10.18637/jss.v043.i08.
    [6]
    吴颐杭, 刘奇缘, 杨书慧等. 病毒在土壤中的存活时间与传播能力及其影响因素[J]. 环境科学研究, 2020, 33(7): 1611-1617. DOI: 10.13198/j.issn.1001-6929.2020.05.40.

    Wu YH, Liu QY, Yang SH, et al. Survival Time and Transmission Ability of Viruses in Soil and Its Influencing Factors [J]. Research of Environmental Sciences, 2020, 33(7): 1611-1617. DOI: 10.13198/j.issn.1001-6929.2020.05.40.
    [7]
    Xu MM, Yu WW, Tong SL, 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, 26;10(5): e0126171. DOI: 10.1371/journal.pone.0126171.
    [8]
    Xu CD, Zhang XX, Wang L, et al. Effects of temperature fluctuations on spatial-temporal transmission of hand, foot, and mouth disease [J]. Scientific Reports, 2020, 10(1): 2541. DOI: 10.1038/s41598-020-59265-z.
    [9]
    Li TG, Yang ZC, Liu XY, et al. Hand-foot-and-mouth disease epidemiological status and relationship with meteorological variables in Guangzhou, southern China, 2008-2012 [J]. Revista Do Instituto De Medicina Tropical De Sao Paulo, 2014, 56(6): 533-539. DOI: 10.1590/s0036-46652014000600014.
    [10]
    Facco M, Zilli C, Siviero M, et al. Modulation of immune response by the acute and chronic exposure to high altitude [J]. Med Sci Sport Exer, 2005, 37(5): 768-774. DOI: 10.1249/01.mss.0000162688.54089.ce.
  • 加载中

Catalog

    通讯作者: 陈斌, bchen63@163.com
    • 1. 

      沈阳化工大学材料科学与工程学院 沈阳 110142

    1. 本站搜索
    2. 百度学术搜索
    3. 万方数据库搜索
    4. CNKI搜索

    Figures(4)  / Tables(2)

    Article Metrics

    Article views (40) PDF downloads(7) Cited by()
    Proportional views
    Related

    /

    DownLoad:  Full-Size Img  PowerPoint
    Return
    Return