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2015—2021年江西省水痘日发病数与气象因素相关分析

The correlation between the daily incidence of varicella and meteorological factors in Jiangxi province from 2015 to 2021: a surveillance data analysis

  • 摘要:
    目的 了解江西省2015—2021年水痘日发病数与气象因素的相关性,为水痘发病水平气象预测预警提供参考依据。
    方法 收集中国疾病预防控制信息系统和江西省气象局2015年1月1日—2021年12月31日江西省各传染病直报单位报告的水痘日发病数和日最低气温、日最高气温、日平均气温、日照时数、日最大风速、日降水量和日平均相对湿度等同期气象数据,采用pearson相关分析法和广义线性回归模型分析江西省水痘日发病数与不同气象因素之间的关系。
    结果 江西省2015—2021年共报告水痘病例133 370例,日均发病数为(51±36)例;其中,0~4岁组31 604例(23.70%),5~9岁组26 910例(20.18%),10~14岁组45 938例(34.44%),≥15岁组28 918例(21.68%)。pearson相关分析结果显示,水痘日发病数与日最低气温(r= –0.280,P<0.001)、日最高气温(r= –0.270,P<0.001)、日平均气温(r= –0.280,P<0.001)、日照时数(r= –0.079,P<0.001)、日最大风速(r= –0.130,P<0.001)和日降水量(r= –0.093,P<0.001)均呈负相关。广义线性回归分析结果显示,0~4岁组和5~9岁组人群水痘日发病数均与日平均气温(β= –0.032和–0.027,均P<0.001)、日最大风速(β= –0.004和–0.062,均P<0.05)呈负相关;10~14岁组和≥15岁组人群水痘日发病数均与日平均气温(β= –0.022和–0.024,均P<0.001)、日降水量(β= –0.007和–0.007,均P<0.05)呈负相关。
    结论 江西省2015—2021年水痘日发病数与日最低气温、日最高气温、日平均气温、日照时数、日最大风速和日降水量等多种气象因素之间存在显著负相关关系,且不同年龄组人群水痘日发病数与气象因素之间的关联性存在差异。

     

    Abstract:
    Objective To understand the correlation between the incidence of varicella and meteorological factors in Jiangxi province from 2015 to 2021, and to provide a reference for meteorological prediction and early warning of varicella incidence.
    Methods Daily varicella incidence data reported by direct reporting units for infectious diseases in Jiangxi province from January 1, 2015, to December 31, 2021, were collected from the Chinese Center for Disease Control and Prevention Information System. Meteorological data for the same period, including daily minimum temperature, daily maximum temperature, daily average temperature, sunshine duration, daily maximum wind speed, daily precipitation, and daily average relative humidity, were collected from the Jiangxi Meteorological Bureau. Pearson correlation analysis and generalized linear regression models were used to analyze the relationship between varicella incidence and different meteorological factors in Jiangxi province.
    Results A total of 133 370 varicella cases were reported in Jiangxi province from 2015 to 2021, with a daily incidence of (51 ± 36) cases. Among these cases, 31 604 (23.70%) were in the 0 - 4 age group, 26 910 (20.18%) were in the 5 - 9 age group, 45 938 (34.44%) were in the 10 - 14 age group, and 28 918 (21.68%) were in the ≥ 15 age group. Pearson correlation analysis showed that the daily incidence of varicella was negatively correlated with daily minimum temperature (r = -0.280, P < 0.001), daily maximum temperature (r = -0.270, P < 0.001), daily average temperature (r = -0.280, P < 0.001), sunshine duration (r = -0.079, P < 0.001), daily maximum wind speed (r = -0.130, P < 0.001), and daily precipitation (r = -0.093, P < 0.001). Generalized linear regression analysis showed that the daily incidence of varicella in the 0 - 4 and 5 - 9 age groups was negatively correlated with daily average temperature (β = -0.032 and -0.027, both P < 0.001) and daily maximum wind speed (β = -0.004 and -0.062, both P < 0.05). The daily incidence of varicella in the 10 - 14 and ≥ 15 age groups was negatively correlated with daily average temperature (β = -0.022 and -0.024, both P < 0.001) and daily precipitation (β = -0.007 and -0.007, both P < 0.05).
    Conclusions There was a significant negative correlation between the incidence of varicella and various meteorological factors, including daily minimum temperature, daily maximum temperature, daily average temperature, sunshine duration, daily maximum wind speed, and daily precipitation, in Jiangxi province from 2015 to 2021. The correlation between the daily incidence of varicella and meteorological factors varied across different age groups.

     

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