2014－2018年中国登革热病例空间特征及相关关系研究

doi:10.11853/j.issn.1003.8280.2020.05.003

中国媒介生物学及控制杂志 ›› 2020, Vol. 31 ›› Issue (5): 517-520.DOI: 10.11853/j.issn.1003.8280.2020.05.003

2014－2018年中国登革热病例空间特征及相关关系研究

岳玉娟, 任东升, 刘小波, 吴海霞, 郭玉红, 赵宁, 王君, 刘起勇

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

收稿日期:2020-04-24 出版日期:2020-10-20 发布日期:2020-10-20
通讯作者: 刘起勇,Email:liuqiyong@icdc.cn
作者简介:岳玉娟,女,博士,副研究员,从事气候与健康研究工作,Email:yueyujuan@icdc.cn
基金资助:
国家科技重大专项（2017ZX10303404004003）；国家重点研发计划（2016YFC1200802）

A study on spatial characteristics and correlations of different types of dengue cases in mainland China, 2014-2018

YUE Yu-juan, REN Dong-sheng, LIU Xiao-bo, WU Hai-xia, GUO Yu-hong, ZHAO Ning, WANG Jun, LIU Qi-yong

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

Received:2020-04-24 Online:2020-10-20 Published:2020-10-20
Supported by:
Supported by the National Major Science and Technology Project of China (No. 2017ZX10303404004003) and National Key R&D Program of China (No. 2016YFC1200802)

摘要/Abstract

摘要： 目的探讨中国登革热重点疫区病例空间特征及相关关系。方法采用空间可视化技术，分析2014－2018年广东和云南省登革热病例空间特征；采用Spearman相关分析法，探讨不同类型的登革热病例之间的相关关系。结果研究区登革热病例主要集中在广东和云南省，2014－2018年间，本地病例、境外输入病例、境内输入病例和境内输出病例分别为46 306、2 304、79和625例。本地病例广东省广州市病例最多，达39 656例；境外输入病例云南省德宏傣族景颇族自治州（德宏州）瑞丽市病例最多，为1 640例，境外输入病例主要来自于东南亚，其中来自缅甸病例最多，达1 876例；境内输出病例主要来源于广州市，达457例，境内输出病例分布遍布中国南部省份。本地病例与境内输入病例、境内输出病例高度相关，相关系数分别为0.811和0.933。云南省德宏州瑞丽市本地病例与境外输入病例高度相关。结论登革热病例集中在广东和云南省境内，本地病例与境内输入病例、境内输出病例高度相关，其研究结果有助于提供策略性的防控与预测方案，采取有效的登革热预防与控制措施。

关键词: 登革热, 空间特征, Spearman相关分析法, 广东, 云南

Abstract: Objective To explore the spatial characteristics and correlations of different types of dengue cases in key epidemic areas of dengue fever in mainland China. Methods Spatial visualization technology was used to analyze the spatial characteristics of dengue cases in Guangdong and Yunnan provinces from 2014 to 2018, and the Spearman correlation method was used to explore the correlations between different types of dengue cases. Results Dengue cases in the study area were mainly concentrated in Guangdong and Yunnan province from 2014 to 2018, there were 46 306 indigenous dengue cases, 2 304 overseas imported dengue cases, 79 domestically imported cases, and 625 domestically exported cases. Guangzhou of Guangdong province had the most indigenous cases (39 656). Ruili of Dehong Dai and Jingpo autonomous prefecture (Dehong prefecture) in Yunnan province had the most overseas imported cases (1 640). The main source of overseas imported cases came from Southeast Asia, the most of which came from Myanmar, reaching 1 876 cases. Domestically exported cases mainly came from Guangzhou, reaching 457 cases, which were distributed all over southern provinces of China. Indigenous cases were highly positively correlated with domestically imported cases and domestically exported cases, with coefficients of 0.811 and 0.933, respectively. In Ruili, Dehong prefecture, Yunnan province, the indigenous cases were highly correlated with overseas imported cases. Conclusion Dengue cases were concentrated in Guangdong and Yunnan provinces. Indigenous cases were highly correlated with domestically imported cases and domestically exported cases. The research findings are helpful for providing strategic prevention and control programs and taking effective measures for dengue prevention and control.

Key words: Dengue fever, Spatial characteristics, Spearman correlation method, Guangdong province, Yunnan province

中图分类号:

R373.3⁺3

岳玉娟, 任东升, 刘小波, 吴海霞, 郭玉红, 赵宁, 王君, 刘起勇. 2014－2018年中国登革热病例空间特征及相关关系研究[J]. 中国媒介生物学及控制杂志, 2020, 31(5): 517-520.

YUE Yu-juan, REN Dong-sheng, LIU Xiao-bo, WU Hai-xia, GUO Yu-hong, ZHAO Ning, WANG Jun, LIU Qi-yong. A study on spatial characteristics and correlations of different types of dengue cases in mainland China, 2014-2018[J]. Chines Journal of Vector Biology and Control, 2020, 31(5): 517-520.

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2014－2018年中国登革热病例空间特征及相关关系研究

A study on spatial characteristics and correlations of different types of dengue cases in mainland China, 2014-2018

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