Chines Journal of Vector Biology and Control ›› 2019, Vol. 30 ›› Issue (4): 379-382.DOI: 10.11853/j.issn.1003.8280.2019.04.005

• An Overview of 70 Years' Development of Health Services • Previous Articles     Next Articles

Typhus in China: the interval between onset of disease and diagnosis and its influencing factors

GAO Yuan1, NIU Yan-lin1,2, LIU Xiao-bo1, MENG Feng-xia1, YUE Yu-juan1, WANG Jun1, SONG Xiu-ping1, LI Dong-mei1, LI Gui-chang1, WANG Xue-shuang1, LIU Qi-yong1   

  1. 1 State Key Laboratory of Infectious Disease Prevention and Control, National Institute for Communicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing 102206, China;
    2 Beijing Center for Diseases Control and Prevention
  • Received:2019-03-26 Online:2019-08-20 Published:2019-08-20
  • Supported by:
    Supported by the National Basic Research Program of China (973 Program) (No. 2012CB955504)

中国斑疹伤寒病例发病至确诊时间间隔及影响因素分析

高源1, 牛彦麟1,2, 刘小波1, 孟凤霞1, 岳玉娟1, 王君1, 宋秀平1, 栗冬梅1, 李贵昌1, 王雪霜1, 刘起勇1   

  1. 1 中国疾病预防控制中心传染病预防控制所媒介生物控制室, 传染病预防控制国家重点实验室, 北京 102206;
    2 北京市疾病预防控制中心, 北京 100013
  • 通讯作者: 刘起勇,Email:liuqiyong@icdc.cn
  • 作者简介:高源,女,在读硕士,主要从事虫媒传染病防控研究,Email:gaoyuancdc@126.com
  • 基金资助:
    国家重点基础研究发展计划(973计划)(2012CB955504)

Abstract: Objective To understand distribution patterns and influencing factors for the interval between onset and diagnosis of typhus in China, and to provide a scientific basis for accurate prevention and control of typhus. Methods Descriptive statistical methods were used to analyze the distribution patterns of the interval between onset of disease and diagnosis. The Kruskal-Wallis H test was conducted for statistical difference analysis. Multivariate logistic regression was used to analyze the influencing factors. Results A total of 29 211 typhus cases were reported in China from 2005 to 2017. Those cases were from 29 provinces (autonomous regions and centrally administered municipalities). The median interval between onset of disease and diagnosis was 7 days. The interval was between 0 and 20 days for 92.20% of the cases. The median interval between onset of disease and diagnosis was 6 days for males and 7 days for females. Students and scattered children had longer time intervals between onset of disease and diagnosis than others. Hebei, Guangdong, and Shandong provinces had shorter time intervals, while Sichuan and Liaoning provinces had longer time intervals. Conclusion There is a long interval between onset and diagnosis of typhus in China. To accurately diagnose, treat, prevent, and control typhus, action should be taken to specifically address this issue.

Key words: Typhus, Interval between onset and diagnosis, Distribution pattern

摘要: 目的 了解我国斑疹伤寒病例发病至确诊时间间隔分布特征及其影响因素,为我国斑疹伤寒的精准防控提供理论依据。方法 采用描述性统计学方法分析斑疹伤害病例发病至确诊时间间隔分布特征,采用Kruskal-Wallis H检验进行统计学差异分析,采用多因素logistic回归分析其影响因素。结果 2005-2017年全国共报告29 211例斑疹伤寒病例,分布在29个省(自治区、直辖市),发病至确诊时间间隔中位数为7 d,92.20%的斑疹伤寒病例发病至确诊时间间隔集中在0~20 d。男性发病至确诊时间间隔中位数为6 d,女性为7 d,女性发病至确诊时间间隔大于男性;学生与散居儿童发病至确诊时间间隔较长;河北、广东和山东省病例发病至确诊时间间隔较短,四川和辽宁省病例发病至确诊时间间隔较长。结论 我国斑疹伤寒病例发病至确诊时间间隔较长,需采取针对性措施进行精准诊疗和防控。

关键词: 斑疹伤寒, 发病至确诊时间间隔, 分布特征

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