干旱气象 ›› 2015, Vol. 33 ›› Issue (1): 162-166.DOI: 10.11755/j.issn.1006-7639(2015)-01-0162

• 论文 • 上一篇    下一篇

银川市腮腺炎流行特征及其与气象因素的关系

张 智1雷 静2蒋少萍3   

  1. 1. 宁夏气象防灾减灾重点实验室, 宁夏 银川 750002;
    2. 宁夏银川市疾病预防控制中心,宁夏 银川 750002;
    3. 北方民族大学, 宁夏 银川 750021
  • 出版日期:2015-02-28 发布日期:2015-02-28
  • 作者简介:张智(1967-),男,高级工程师,主要从事气候分析工作.E-mail:zz_tt@126.com
  • 基金资助:

    宁夏科技支撑计划项目(2013ZYS140)、宁夏自然科学基金项目(NZ1298)、宁夏高校科研项目(NGY2012093)共同资助

The Epidemic Characteristics of Mumps and Relations with Meteorological Factors in Yinchuan

ZHANG Zhi1LEI Jing2JIANG Shaoping3   

  1. 1. Key Laboratory of Meteorological Disaster Preventing and Reducing in Ningxia,Yinchuan 750002,China;
    2. Yinchuan Municipal Center for Disease Control,Yinchuan 750002,China;
    3. Beifang University of Nationalities,Yinchuan 750021,China
  • Online:2015-02-28 Published:2015-02-28

摘要:

利用2005~2011年银川市逐日腮腺炎病例资料、气象资料,采用气候倾向率、趋势系数、相关分析方法分析腮腺炎流行特征及其与气象因素的关系。结果表明:银川市腮腺炎病例数呈波动增多趋势,各月呈“2峰2谷”型规律变化;冬春之交(2~5月)、秋冬之交(9~12月)呈逐渐增多的趋势,夏季(6~8月)冬季(12月至次年2月)呈逐渐减少趋势;银川市兴庆区平均病例数最多,占总病例数的44.4%,灵武市平均病例数最少,只占总病例数的5.0%;1~18岁年龄段腮腺炎病例数占总病例数的92.7%,是主要易感人群,而6~7岁是防控的重点人群;腮腺炎疾病分别与前1~前4周平均最低气压、最大变压、最大变温、平均相对湿度、平均最小相对湿度、平均日照时数等气象因素有极显著的相关关系,可以利用前期气象资料预测腮腺炎病例数,为腮腺炎疾病的防控提供参考。

关键词: 银川, 腮腺炎, 流行性, 气象因素

Abstract:

Based on the daily mumps cases,meteorological data from 2005 to 2011 in Yinchuan,the epidemic characteristics of the mumps cases and relations with the meteorological factors were analyzed by using the methods of climatic inclination rate and the correlation analysis. The results show that the number of mumps cases presented increasing trend,the crowd from the age of 1 to 20 with mumps cases accounted for 93. 7% of the total mumps cases in Yinchuan,and they were the main easy infected crowd,while the crowd from the age of 6 to 7 was the key crowd of prevention and control. The monthly variation of mumps cases presented increase trend from February to May and September to December,while decline trend in summer and winter.The number of mumps cases accounted for 44. 4% and 5. 0% of the total number in Xingqing and Lingwu,respectively. The correlations were significant between the number of mumps cases and the weekly mean pressure,weekly mean temperature,weekly maxium temperature difference,mean relative humidity,weekly minimum relative humidity and weekly sunshine hours. The number of mumps cases was obviously affected by the meteorological factors of the first one to fourth weeks,so mumps cases could be forecasted by using the preceding meteorological factors.

 

Key words: Yinchuan, mumps, epidemic, meteorological factors

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