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气象因子及其交互作用对宁夏南部地区流感的影响分析
作者:杨亚丽1 2  纳丽1 2  曾荣阳2  马莹3 
单位:1. 中国气象局旱区特色农业气象灾害监测预警与风险管理重点实验室, 宁夏 银川 750000;
2. 宁夏回族自治区气象服务中心, 宁夏 银川 750000;
3. 宁夏回族自治区疾病预防控制中心, 宁夏 银川 750000
关键词:流感 气象因子 交互效应 广义相加模型 
分类号:R122.2;R181.3
出版年·卷·期(页码):2026·54·第一期(84-91)
摘要:

目的:探究气象因子对宁夏南部地区流感发病的影响效应。方法:收集固原市2005至2021年逐日流感样病例数和同期气象资料,采用相关分析和广义相加模型(GAM)综合分析气象因子及其交互作用对流感样病例数的影响效应。结果:固原市流感的高发期1~3月及11~12月,0~6岁的学龄前儿童为主要易感人群;0~7 d气象因子对流感样病例数有滞后性。流感样病例数与日平均气压呈负相关,与其余气象因子呈正相关。基于单影响因子的GAM模型拟合中,日平均气温、日平均气压、日平均相对湿度、日平均风速显著影响流感样病例数(P<0.001),随着气压的升高、气温下降,流感发病人数呈增多趋势。交互模型也进一步证实流感发病受多种气象因子共同影响,结合三维可视化图形发现气温是影响流感发病的主导气象因子,与风速存在协同效应;当日平均气温低于8.0 ℃时,随着气温下降,发病风险增大,在-8.0 ℃左右时,流感发病风险最大。结论:固原市流感发生受多种气象因子的影响,但气温是主导因子,在低温、低风速的气象条件下,需做好流感的预防控制工作。

Objective: To explore the impact of meteorological factors on the incidence of influenza in southern Ningxia. Methods: Daily influenza-like illness cases and concurrent meteorological data in Guyuan city from 2005 to 2021 were collected. Correlation analysis and generalized additive models(GAM) were combined to comprehensively analyze the effects of meteorological factors and their interactions on the number of influenza-like illness cases. Results: The peak incidence periods of influenza in Guyuan city were from January to March and November to December, with preschool children aged 0-6 years being the main susceptible population. Meteorological factors from 0-7 days have a lag effect on the number of influenza-like illness cases. The number of influenza-like illness cases was negatively correlated with daily mean atmospheric pressure, while showing positive correlations with other meteorological factors. In the GAM model fitting based on single influencing factors, daily mean temperature, daily mean atmospheric pressure, mean relative humidity, and mean wind speed significantly affected the number of influenza-like illness cases(P<0.001). The number of influenza cases tended to increase with the rise of atmospheric pressure and the drop of temperature. The interaction model further confirmed that influenza incidence was jointly affected by multiple meteorological factors. Combined with three-dimensional visualization graphs, it was found that temperature was the dominant meteorological factor affecting influenza incidence and had a synergistic effect with wind speed. When the daily mean temperature was lower than 8.0 ℃, the risk of illness increased with the decrease of temperature, and the risk of influenza was the highest when the temperature was around -8.0 ℃. Conclusion: Influenza occurrence in Guyuan city is influenced by multiple meteorological factors, among which temperature is the dominant one. Under meteorological conditions of low temperature and low wind speed, it is necessary to strengthen the prevention and control of influenza.

参考文献:

[1] STÖHR K.The global agenda on influenza surveillance and control[J].Vaccine,2003,21(16):1744-1748.
[2] TAMERIUS J,NELSON M I,ZHOU S Z,et al.Global influenza seasonality:reconciling patterns across temperate and tropical regions[J].Environ Health Perspect,2011,119(4):439-445.
[3] LOWEN A C,MUBAREKA S,STEEL J,et al.Influenza virus transmission is dependent on relative humidity and temperature[J].PLoS Pathog,2007,3(10):e151.
[4] SHAMAN J,KOHN M.Absolute humidity modulates influenza survival,transmission,and seasonality[J].Proc Natl Acad Sci USA,2009,106(9):3243-3248.
[5] LOFGREN E,FEFFERMAN N H,NAUMOV Y N,et al.Influenza seasonality:underlying causes and modeling theories[J].J Virol,2007,81(11):5429-5436.
[6] FUHRMANN C.The effects of weather and climate on the seasonality of influenza:what we know and what we need to know[J].Geogr Compass,2010,4(7):718-730.
[7] LOWEN A C,STEEL J.Roles of humidity and temperature in shaping influenza seasonality[J].J Virol,2014,88(14):7692-7695.
[8] VIBOUD C,ALONSO W J,SIMONSEN L.Influenza in tropical regions[J].PLoS Med,2006,3(4):e89.
[9] TAMERIUS J D,SHAMAN J,ALONSO W J,et al.Environmental predictors of seasonal influenza epidemics across temperate and tropical climates[J].PLoS Pathog,2013,9(3):e1003194.
[10] ECCLES R.An explanation for the seasonality of acute upper respiratory tract viral infections[J].Acta Otolaryngol,2002,122(2):183-191.
[11] SOEBIYANTO R P,ADIMI F,KIANG R K.Modeling and predicting seasonal influenza transmission in warm regions using climatological parameters[J].PLoS One,2010,5(3):e9450.
[12] DEYLE E R,MAHER M C,HERNANDEZ R D,et al.Global environmental drivers of influenza[J].Proc Natl Acad Sci USA,2016,113(46):13081-13086.
[13] LOWEN A C,STEEL J.Roles of humidity and temperature in shaping influenza seasonality[J].J Virol,2014,88(14):7692-7695.
[14] 李怡,陈仲榆,柳艳香,等.京津冀气象条件对学龄前儿童流感的影响及预报方法研究[J].气象学报,2022,80(3):375-384.
[15] 杨亚丽,纳丽,龚瑞.宁夏流感与气象条件关系研究[J].气象科技进展,2023,13(5):45-50,55.
[16] 中国疾病预防控制中心.全国流感监测技术指南[S].北京:中国疾病预防控制中心,2011.
[17] 张莹,倪长健,冯鑫媛,等.基于GAMs模型分析成都市气象因子交互作用对O3浓度变化的影响[J].环境科学,2021,42(11):5228-5238.
[18] 杨亚丽,纳丽,龚瑞,等.基于广义相加模型的气象要素交互作用对银川市流感影响研究[J].环境与健康杂志,2024,41(6):518-522,565.
[19] 张志薇,王式功,尚可政,等.基于黄金分割法的人体舒适度计算及应用[C]//创新驱动发展提高气象灾害防御能力——第30届中国气象学会年会论文集.南京,2013:305-327.
[20] 王颖颖,王磊.2015—2020年保定市流行性感冒发病与气象因素的关系分析[J].职业与健康,2022,38(14):1952-1955.
[21] 孙妍兰,李伟,吴晶,等.西宁市流感样病例与气象因素关系的研究[J].中国病毒病杂志,2018,8(5):378-383.

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