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Volume 38 Issue 2
Feb.  2022
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GAO Qi, LIU Zhi-dong, WANG Shu-zi, . Impact of temperature on hand, foot and mouth disease and its attributable risk in Guangdong province[J]. Chinese Journal of Public Health, 2022, 38(2): 203-208. doi: 10.11847/zgggws1132059
Citation: GAO Qi, LIU Zhi-dong, WANG Shu-zi, . Impact of temperature on hand, foot and mouth disease and its attributable risk in Guangdong province[J]. Chinese Journal of Public Health, 2022, 38(2): 203-208. doi: 10.11847/zgggws1132059

Impact of temperature on hand, foot and mouth disease and its attributable risk in Guangdong province

doi: 10.11847/zgggws1132059
  • Received Date: 2020-08-17
    Available Online: 2021-01-15
  • Publish Date: 2022-02-10
  •   Objective  To study the impact of ambient temperature on hand, foot and mouth disease (HFMD) and to explore the source of heterogeneity in the impact and the HFMD burden attributable to ambient temperature in Guangdong province.   Methods  The data on daily reported HFMD cases and meteorological condition from 2009 through 2016 in Guangdong province were collected. The distributed lag nonlinear model (DLNM) was adopted to assess the effect of average daily ambient temperature on HFMD incidence at city level with the pooled effect estimates from multivariate meta-regression model analysis. Fraction and number of HFMD incidents attributable to variation in ambient temperature were estimated according to the results of DLNM analysis.   Results   Totally 2 279 647 HFMD cases were reported during the period. The risk of HFMD incidence increased with the increment of average daily ambient temperature. The cumulative relative risk (RR) of HFMD incidence reached the highest for the average daily ambient temperature of 30.5 ℃ versus that of 24 ℃ (RR = 1.24, 95% confidence interval [95% CI]: 1.12 – 1.37). The most obvious effect of low average daily ambient temperature on HFMD incidence was on the lag day 8 but that of high temperature was on the lag day zero. The disparity in the effect of average daily ambient temperature on HFMD incidence among various cities was derived from population density, growth rate of gross domestic production, location longitude, and average annual temperature/humidity/hours of sunshine. The estimated total number of HFMD incidents attributed to the exposure to high average daily temperature was 241 918, accounting for 10.61% (95% CI: 9.67% – 11.53%) of all the cases during the period. When exposed to high average daily ambient temperature, the elderly and the children less than 5 years old were at a higher risk of HFMD incidence than other populations.   Conclusion  High average daily ambient temperature could increase the risk of HFMD incidence and the impact of the high temperature may appear immediately or at lag days. The results suggest that specific measures should be taken in vulnerable populations during seasons with high temperature for the prevention of HFMD incidents.
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  • [1]
    Xing WJ, Liao QH, Viboud C, et al. Hand, foot, and mouth disease in China, 2008 – 12: an epidemiological study[J]. The Lancet Infectious Diseases, 2014, 14(4): 308 – 318. doi: 10.1016/S1473-3099(13)70342-6
    [2]
    Cox B, Levent F. Hand, foot, and mouth disease[J]. JAMA, 2018, 320(23): 2492. doi: 10.1001/jama.2018.17288
    [3]
    Cheng Q, Bai LJ, Zhang YW, et al. Ambient temperature, humidity and hand, foot, and mouth disease: a systematic review and meta-analysis[J]. Science of the Total Environment, 2018, 625: 828 – 836. doi: 10.1016/j.scitotenv.2018.01.006
    [4]
    祝寒松, 陈思, 王明斋, 等. 厦门市2013 — 2017年手足口病发病与气象因素影响分析[J]. 中华流行病学杂志, 2019, 40(5): 531 – 536. doi: 10.3760/cma.j.issn.0254-6450.2019.05.008
    [5]
    Gasparrini A, Leone M. Attributable risk from distributed lag models[J]. BMC Medical Research Methodology, 2014, 14: 55. doi: 10.1186/1471-2288-14-55
    [6]
    谷少华, 贺天锋, 陆蓓蓓, 等. 基于分布滞后非线性模型的归因风险评估方法及应用[J]. 中国卫生统计, 2016, 33(6): 959 – 962.
    [7]
    Imai C, Hashizume M. A systematic review of methodology: time series regression analysis for environmental factors and infectious diseases[J]. Tropical Medicine and Health, 2015, 43(1): 1 – 9. doi: 10.2149/tmh.2014-21
    [8]
    Zhao Q, Li SS, Cao W, et al. Modeling the present and future incidence of pediatric hand, foot, and mouth disease associated with ambient temperature in mainland China[J]. Environmental Health Perspectives, 2018, 126(4): 047010. doi: 10.1289/EHP3062
    [9]
    Gasparrini A, Armstrong B, Kenward MG. Distributed lag non-linear models[J]. Statistics in Medicine, 2010, 29(21): 2224 – 2234. doi: 10.1002/sim.3940
    [10]
    Gasparrini A, Armstrong B. Reducing and meta-analysing estimates from distributed lag non-linear models[J]. BMC Medical Research Methodology, 2013, 13: 1. doi: 10.1186/1471-2288-13-1
    [11]
    陈秀云, 王曼. 2004 — 2016年广东省某市丙类传染病流行特征分析[J]. 现代预防医学, 2018, 45(10): 1740 – 1744.
    [12]
    黄蕊芳, 谢玲, 刘素红, 等. 新疆维吾尔自治区2011 — 2018年手足口病发病与气象因素的相关性分析[J]. 中华流行病学杂志, 2019, 40(12): 1563 – 1568. doi: 10.3760/cma.j.issn.0254-6450.2019.12.011
    [13]
    Huang J, Chen S, Wu Y, et al. Quantifying the influence of temperature on hand, foot and mouth disease incidence in Wuhan, Central China[J]. Scientific Reports, 2018, 8(1): 1934. doi: 10.1038/s41598-018-20318-z
    [14]
    Bélanger M, Gray-Donald K, O'loughlin J, et al. Influence of weather conditions and season on physical activity in adolescents[J]. Annals of Epidemiology, 2009, 19(3): 180 – 186. doi: 10.1016/j.annepidem.2008.12.008
    [15]
    Meerburg BG, Kijlstra A. Changing climate – changing pathogens: Toxoplasma gondii in North-Western Europe[J]. Parasitology Research, 2009, 105(1): 17 – 24. doi: 10.1007/s00436-009-1447-4
    [16]
    王金玉, 李盛, 董继元, 等. 气温对兰州市手足口病发病的滞后效应研究[J]. 中国卫生统计, 2018, 35(1): 38 – 42.
    [17]
    Kovats RS, Edwards SJ, Hajat S, et al. The effect of temperature on food poisoning: a time-series analysis of salmonellosis in ten European countries[J]. Epidemiology and Infection, 2004, 132(3): 443 – 453. doi: 10.1017/S0950268804001992
    [18]
    Wang XY, Tao FB, Xiao DL, et al. Trend and disease burden of bacillary dysentery in China (1991 – 2000)[J]. Bulletin of the World Health Organization, 2006, 84(7): 561 – 568. doi: 10.2471/BLT.05.023853
    [19]
    Liu ZD, Zhang FF, Zhang Y, et al. Association between floods and infectious diarrhea and their effect modifiers in Hunan province, China: a two-stage model[J]. Science of the Total Environment, 2018, 626: 630 – 637. doi: 10.1016/j.scitotenv.2018.01.130
    [20]
    Bush KF, O'Neill MS, Li S, et al. Associations between extreme precipitation and gastrointestinal-related hospital admissions in Chennai, India[J]. Environmental Health Perspectives, 2014, 122(3): 249 – 254. doi: 10.1289/ehp.1306807
    [21]
    Yin F, Zhang T, Liu L, et al. The association between ambient temperature and childhood hand, foot and mouth disease in Chengdu, China: a distributed lag non-linear analysis[J]. Scientific Reports, 2016, 6: 27305. doi: 10.1038/srep27305
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