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广东省2006-2011年登革热时空分布特征

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  • 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, 中国疾病预防控制中心传染病监测预警重点实验室, 感染性疾病诊治协同创新中心, 北京 102206;
    2 广东省疾病预防控制中心;
    3 广东省公共卫生研究院
樊景春(1979- ),女,在读博士,主要从事气候变化对登革热影响研究。Email: fan_jc@126.com

收稿日期: 2013-05-22

  网络出版日期: 2013-10-20

基金资助

国家重大科学研究计划(973项目) (2012CB955504); 卫生行业科研专项(201202006); 国家自然科学基金(81273139, 30972563)

Spatial and temporal distribution characteristics of dengue fever in Guangdong province, China during 2006-2011

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  • 1 Key Laboratory of Surveillance and Early-Warning on Infectious Disease, State Key Laboratory for Infectious Diseases Prevention and Control, Department of Vector Biology and Control, National Institute for Communicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Collaborative Innovation Center for Diagnosis and Treatment of Infectious Diseases, Beijing 102206, China;
    2 Guangdong Center for Disease Control and Prevention;
    3 Guangdong Provincial Institute of Public Health

Received date: 2013-05-22

  Online published: 2013-10-20

Supported by

Supported by the National Basic Research Program of China (973 Program) (No. 2012CB955504), the Special Research Program for Health (No. 201202006) and the National Natural Science Foundation of China (No. 81273139, 30972563)

摘要

目的 分析2006-2011年广东省登革热的时空分布特征,为登革热防控提供科学依据。方法 计算2006-2011年广东省登革热县(区)级年发病率水平,利用空间自相关分析确定登革热高风险地区。结果 广东省珠江三角洲和韩江三角洲登革热发病率分别为>4/10万和>2.5/10万,Moran'sⅠ统计量在2006-2007年(P=0.005)和2009-2011年(P=0.001)有统计学意义,2007-2008年无统计学意义(P=0.814)。结论 广东省登革热分布是非随机的,珠江三角洲和韩江三角洲是登革热的高危地区。

本文引用格式

樊景春, 林华亮, 吴海霞, 王君, 杨舒然, 刘起勇 . 广东省2006-2011年登革热时空分布特征[J]. 中国媒介生物学及控制杂志, 2013 , 24(5) : 389 -391 . DOI: 10.11853/j.issn.1003.4692.2013.05.003

Abstract

Objective To analyze the spatial and temporal distribution characteristics of dengue fever (DF) in Guangdong province, China during 2006-2011 and to provide a scientific basis for the prevention and control of dengue. Methods The annual incidence of DF in the county-level areas (counties or districts) of Guangdong province was determined during 2006-2011. The geographic pattern of DF incidence was examined by spatial autocorrelation analysis. Results The incidence rates of DF in the Pearl River Delta region and Han River Delta region were >4/105 and >2.5/105, respectively. Moran'sⅠ statistics of DF distribution were significant from 2006 to 2007 (P=0.005) and from 2009 to 2011 (P=0.001), but it was not significant from 2007 to 2008 (P=0.814). Conclusion The risk of DF is not randomly distributed among the county-level areas in Guangdong province, and the Pearl River Delta region and Han River Delta region are high-risk areas.

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