Wang J Y, Li S, Ma H P, Dong J Y, Wang Y H, Zhang W, Zhang X Y, Li P, Li S Y
Institute of Human Anatomy and Histology and Embryology, School of Basic Medicine, Lanzhou University, Lanzhou 730000, China.
Zhonghua Yu Fang Yi Xue Za Zhi. 2018 Aug 6;52(8):842-848. doi: 10.3760/cma.j.issn.0253-9624.2018.08.013.
To explore the effects of temperature on the daily cases of varicella. The data of daily cases of varicella was collected during 2008 to 2016 in Lanzhou from National Notifiable Disease Report System, and the meteorological data at the same period was integrated from Gansu Meteorological Administration. Distributed lag nonlinear model was fitted to reveal the relationship between the daily mean temperature and the daily cases of varicella and susceptible population. The minimum morbidity temperature was defined as the reference for the estimation of in different temperature level (-5.2 ℃, 1.7 ℃, 20.1 ℃ and 25.4 ℃). The total of 21 254 cases were reported from 2008 to 2016, of which the ratio of male to female was 1.28 (11 951/9 303) and people aged 6-14 years accounted for 52.87%. The relationship between the daily mean temperature and the daily cases of varicella was M type. For all subjects, the accumulative effects of temperature had statistical significance from lag 0-14 d when temperatures was at -5.2 ℃, 1.7 ℃ and 20.1 ℃,while the (95) were 1.87 (1.64-2.12) , 1.33 (1.10-1.62) ,1.60 (1.38-1.86) ,while from lag 0-7 d when temperatures was at 25.4 ℃,and the (95) was 2.51 (1.93-3.27) . The value of accumulative effects was 6.23(95: 4.38-8.86) on lag 7 d when temperatures was at -5.2 ℃, which was the highest value at different temperature during lag days. The cumulative effects trends of different temperatures were similar for different gender population or different age subjects. However, the cumulative effects of was highest for children aged 6-14 years among all subjects, and the value of was 6.12 (95:3.71-10.10) on lag 5d when temperatures was at -5.2 ℃. We conclude that the increasing risk of varicella is associative with low and high temperature in Lanzhou. The effects of low temperature are stronger than those of high temperature. The children aged 6-14 years belong to the high-risk population of varicella.
为探讨温度对水痘日发病例数的影响。收集了2008年至2016年兰州地区国家法定传染病报告系统中的水痘日发病例数据,并整合了同期甘肃省气象局的气象数据。采用分布滞后非线性模型来揭示日平均气温与水痘日发病例数及易感人群之间的关系。将最低发病温度定义为不同温度水平(-5.2℃、1.7℃、20.1℃和25.4℃)下效应估计的参考值。2008年至2016年共报告21254例病例,其中男女比例为1.28(11951/9303),6至14岁人群占52.87%。日平均气温与水痘日发病例数的关系呈M型。对于所有研究对象,当温度为-5.2℃、1.7℃和20.1℃时,温度的累积效应在滞后0至14天具有统计学意义,效应值(95%置信区间)分别为1.87(1.64至2.12)、1.33(1.10至1.62)、1.60(1.38至1.86);当温度为25.4℃时,在滞后0至第7天具有统计学意义,效应值(95%置信区间)为2.51(1.93至3.27)。当温度为-5.2℃时,滞后7天的累积效应值为6.23(95%置信区间:4.38至8.86),是不同温度下滞后天数中的最高值。不同性别或不同年龄组研究对象在不同温度下的累积效应趋势相似。然而,在所有研究对象中,6至14岁儿童的累积效应最高,当温度为-5.2℃时,滞后5天的效应值为6.12(95%置信区间:3.71至10.10)。我们得出结论,兰州地区水痘发病风险的增加与低温和高温均相关。低温的影响强于高温。6至14岁儿童属于水痘的高危人群。