Abstract:ObjectiveTo explore the correlations between the scarlet fever and meteorological factors in Zhejiang Province. MethodsThe data which was been analyzed including month case of scarlet fever and meteorological factors from JAN 2005 to DEC 2014, were analyzed for the degree and characteristic of the correlations between the scarlet fever and meteorological factors with generalized additive model(GAM) . ResultsThere were negative correlation between scarlet fever and meteorological factors including water vapor pressure and hours of sunshine. There were complex nonlinear correlations between scarlet fever and meteorological factors including precipitation, average barometric pressure, average wind speed and average temperature . The relationship between scarlet fever and meteorological factors including average barometric pressure, average wind speed and average temperature showed approximate quadratic function. The precipitation above3 500(0.1 mm), average barometric pressure above 10 200(0.1 hPa) and under 10 050(0.1 hPa), average wind speed between 18.7-23.6(0.1 m/s)and average temperature between 100-250(0.1 ℃) were the suitable meteorological condition for scarlet fever.ConclusionThere were complex nonlinear correlations between the scarlet fever and meteorological factors. Precipitation,average barometric pressure,average wind speed and average temperature may be associated with the incidence of scarlet fever.
吴昊澄, 林君芬, 徐校平, 吴晨, 鲁琴宝, 丁哲渊. 广义相加模型拟合气象因素与猩红热发病的关联性[J]. 预防医学, 2016, 28(1): 5-8,16.
WU Hao-cheng, LIN Jun-fen, XU Xiao-ping, WU Chen, LU Qin-bao, DING Zhe-yuan. An analysis on the correlations between the scarlet fever and meteorological factors with generalized additive model. Preventive Medicine, 2016, 28(1): 5-8,16.
[1] YANG S G,DONG H J,LI F R,et al.Report and analysis of a scarlet fever outbreak among adults through food-borne transmission in China[J]. J Infection,2007,55(5):419-424. [2] 李雷雷,蒋希宏,隋霞,等.中国2005—2011年猩红热疫情流行病学分析[J].中国公共卫生,2012,28(6):826-827. [3] 李连红,余昭,方琼姗,等.2007—2011年浙江省猩红热流行病学分析[J].中国预防医学杂志,2013,14(3):194-196. [4] 杨芬,钟豪杰,洪腾,等.广东省1950—2011年猩红热发病趋势变化及流行特征分析[J].华南预防医学,2013,39(1):1-5. [5] YANG P, PENG X M, ZHANG D T, et al. Characteristics of group A Streptococcus strains circulating during scarlet fever epidemic, Beijing, China, 2011[J]. Emerg infect Dis, 2013,19(6): 909-915. [6] CHEN M L, YAO W L, WANG X H, et al. Outbreak of scarlet fever associated with emm12 type group A streptococcus in 2011 in Shanghai, China[J]. Pediatr Infect Dis J, 2012,31(9): e158-162. [7] LUK E Y Y, LO J Y C, LI A Z L, et al. Scarlet fever epidemic,Hong Kong, 2011[J]. Emerg infect Dis, 2012,18(10): 1658-1661. [8] WILSON N , LUSH D, BAKER M G.Meteorological and climate change themes at the 2010 International Conference on Emerging Infectious Diseases[J].Euro Surveill:bulletin Européen sur les maladies transmissibles=European communi cable disease bulletin,2010,15(11):225-227. [9] 王炳翔.猩红热发病率与气象因素之间的多项式模型拟合研究[D].合肥:安徽医科大学,2014. [10] 李宏田,袁悦,李智文,等.GAM识别非线性相关及其在医学统计建模中的应用[J].中国卫生统计,2012,29(6):782-785. [11] 陶芳芳,虞慧婷,林庆能,等.广义相加模型在上海世博会园区医疗站就诊人数预测中的应用[J].环境与职业医学,2011,28(1):9-12. [12] 吴蘅.大气污染与哮喘急诊量关系的统计研究[D]. 成都:四川大学,2007. [13] 赵越.大气污染对城市居民的健康效应及经济损失研究[D].北京:中国地质大学,2007. [14] 洪希成,陈曦,徐兴建,等.湖沼地区钉螺密度与环境关系的广义相加模型研究[J].现代预防医学,2014,41(18):3265-3267. [15] 王炳翔,朋文佳,闫军伟,等.猩红热的发病率与气象因素的负二项回归分析[J].中华疾病控制杂志,2014,18(2):166-168. [16] 黎景雪,王培承,房刚.山东省猩红热发病与气象因素相关性研究[J].中国预防医学杂志,2011,12(2):149-151. [17] 黎新宇,王全意,高婷,等.北京气象因素与猩红热发病相关性研究[J].实用预防医学,2007,14(5):1435-1436. [18] 闫国琦.气象要素对人体健康的影响[J].卫生职业教育,2005,23(23):125-126. [19] 郭莉莉,苏镇军,罗光华,等.邯郸市猩红热发病率与气象因素之间关系的研究[J].医学动物防制,2014,30(7):739-741. [20] 吕爱华,苏君.大气微生物与气象条件及大气污染物的灰色关联分析[J].干旱环境监测,1995,9(3):143-146. [21] 李秀昌,孙健,胡亚男.长春地区气候与传染病间关系分析[J].中国卫生统计,2010,27(1):66-67.