| 王成岗,刘起勇,姜宝法.中国登革热患者发病至确诊间隔时问及其影响因素分析[J].Chinese journal of Epidemiology,2012,33(10):1064-1066 |
| 中国登革热患者发病至确诊间隔时问及其影响因素分析 |
| Time between the onset and diagnosis of dengue fever and related influencing factors in China |
| Received:May 09, 2012 |
| DOI： |
| KeyWord: 登革热 发病至确诊时间 |
| English Key Word: Dengue fever Time between onset and diagnosis |
| FundProject:国家自然科学基金(30972563)；生行业科研专项(201202006)；山东省国内访问学者项目 |
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| Abstract: |
| 目的分析中困臀革热患者发病至确诊间隔时间(间隔时间)及其影响冈素。方法对传染病监测信息系统中的数据进行描述性分析，采用非参数检验和logistic回归分析间隔时间的影响冈素。结果病至确诊间隔时间呈正偏态分布，中位数为6 d，四分位数间距为4 d，有57.8％的患者问隔时间>5 d。影响因素分析显示输入病例、年长者、非流行季节及福建、云南和浙江省的病例间隔时间较长：输入病例问隔时问·fi位数为6 d，比本地病例多1 d；非流行月份比流行月份问隔时间中位数多1 d；福建、五南省间隔时问中位数为7 d，比广东省多1 d；20岁以下患者间隔时间巾位数为5 d，较20岁以上人群少天。结论大部分髓革热患者在病毒血症期不能被确诊，需要增强监测系统的敏感性，尤其是在登革热的流行地区和非流行季节。 |
| English Abstract: |
| 0bjective To study the time between the onset and diagnosis of Dengue fever andits influencing factors in China.MethodsData were obtained frON the Infectious Disease SurveillanceSystem(IDSS).Descriptive analysis was performed for the time interval while nonparametrie tests and Iogistic regression analysis were used to study the related influencing factors.ResultsTimeinterval appeared positively skewed with distribution at median of 6 days，quartile range as 4 days， while 57.8％of them were langer than five days.Data showed that patients with longer intervals among the impoged cases，being elderly，cases in non-endemic season and provinces as Fujian，Yunnan and Zhejiang appeared to have had greater influences on the disease Median of those imported cases was six days，one day longer than locally generated eases，while median of the nonepidemic month was one day more than that of the epidemic month.In Fujian and Yunnan provinces，the medians were 7 days，one day more than that from Guangdong province.The median among youngpeople was 5 days，one day 1ess than that of the patients older than 20 years of age.ConclusionMost Dengue patients did not get diagnosed early enough so it was of urgent need to enhance the sensitivityofthe monitoring system，especially in epidemic regions and dunng non-epidemic season. |
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