Who Is Vulnerable to Dengue Fever? A Community Survey of the 2014 Outbreak in Guangzhou, China

被引:17
|
作者
Chen, Bin [1 ,2 ,3 ]
Yang, Jun [1 ,2 ]
Luo, Lei [4 ]
Yang, Zhicong [4 ]
Liu, Qiyong [1 ,2 ]
机构
[1] Chinese Ctr Dis Control & Prevent, Natl Inst Communicable Dis Control & Prevent, Collaborat Innovat Ctr Diag & Treatment Infect Di, State Key Lab Infect Dis Prevent & Control, Beijing 102206, Peoples R China
[2] Chinese Ctr Dis Control & Prevent, China CDC Key Lab Surveillance & Early Warning In, Beijing 102211, Peoples R China
[3] Xiamen Entry Exit Inspect & Quarantine Bur, Xiamen 361012, Peoples R China
[4] Guangzhou Ctr Dis Control & Prevent, Guangzhou 510440, Guangdong, Peoples R China
基金
中国国家自然科学基金;
关键词
dengue fever; knowledge; lifestyle; risk factors; vector control; KNOWLEDGE;
D O I
10.3390/ijerph13070712
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
Unprecedented dengue fever (DF) outbreaks impel China to develop useful disease control strategies. Integrated vector management (IVM) focuses on identifying vulnerable populations and interrupting human-vector contact; however, vulnerable populations have not been clearly identified in China. We conducted a case-control study during the initial stage of the 2014 DF outbreak in Guangzhou, China to assess risk factors for DF infection. Cases were randomly sampled from the National Notifiable Infectious Disease Reporting Information System (NNIDRIS). Controls were healthy individuals recruited from 17 DF infected communities through cluster sampling. A structured questionnaire on demographics, knowledge, practices, and living environment was administered to participants (165 cases; 492 controls). Logistic regression models identified characteristics of vulnerable populations. Awareness of dengue (OR = 0.08, 95% CI = 0.04-0.17), removing trash and stagnant water from around the residence (OR = 0.02, 95% CI = 0.00-0.17), and using mosquito repellent oils (OR = 0.36, 95% CI = 0.16-0.81) were protective factors. Living in an old flat or shed (OR = 2.38, 95% CI = 1.18-4.79) was a risk factor. Coils and bed nets were not protective due to incorrect knowledge of use. Using mosquito repellent oils and other protective measures can reduce vulnerability to DF infection.
引用
收藏
页数:11
相关论文
共 50 条
  • [41] The Impacts of Mosquito Density and Meteorological Factors on Dengue Fever Epidemics in Guangzhou, China, 2006-2014: a Time-series Analysis
    Shen Ji Chuan
    Luo Lei
    Li Li
    Jing Qin Long
    Ou Chun Quan
    Yang Zhi Cong
    Chen Xiao Guang
    [J]. BIOMEDICAL AND ENVIRONMENTAL SCIENCES, 2015, 28 (05) : 321 - 329
  • [42] Climate and the Timing of Imported Cases as Determinants of the Dengue Outbreak in Guangzhou, 2014: Evidence from a Mathematical Model
    Cheng, Qu
    Jing, Qinlong
    Spear, Robert C.
    Marshall, John M.
    Yang, Zhicong
    Gong, Peng
    [J]. PLOS NEGLECTED TROPICAL DISEASES, 2016, 10 (02):
  • [43] Analysis of a Dengue Model with Vertical Transmission and Application to the 2014 Dengue Outbreak in Guangdong Province, China
    Zou, Lan
    Chen, Jing
    Feng, Xiaomei
    Ruan, Shigui
    [J]. BULLETIN OF MATHEMATICAL BIOLOGY, 2018, 80 (10) : 2633 - 2651
  • [44] Analysis of a Dengue Model with Vertical Transmission and Application to the 2014 Dengue Outbreak in Guangdong Province, China
    Lan Zou
    Jing Chen
    Xiaomei Feng
    Shigui Ruan
    [J]. Bulletin of Mathematical Biology, 2018, 80 : 2633 - 2651
  • [45] New genotype invasion of dengue virus serotype 1 drove massive outbreak in Guangzhou, China
    Ma, Mengmeng
    Wu, Sean
    He, Zhenjian
    Yuan, Lihong
    Bai, Zhijun
    Jiang, Liyun
    Marshall, John
    Lu, Jiahai
    Yang, Zhicong
    Jing, Qinlong
    [J]. PARASITES & VECTORS, 2021, 14 (01)
  • [46] New genotype invasion of dengue virus serotype 1 drove massive outbreak in Guangzhou, China
    Mengmeng Ma
    Sean Wu
    Zhenjian He
    Lihong Yuan
    Zhijun Bai
    Liyun Jiang
    John Marshall
    Jiahai Lu
    Zhicong Yang
    Qinlong Jing
    [J]. Parasites & Vectors, 14
  • [47] Epidemiological dynamics of dengue fever in mainland China, 2014-2018
    Yue, Yujuan
    Liu, Xiaobo
    Xu, Min
    Ren, Dongsheng
    Liu, Qiyong
    [J]. INTERNATIONAL JOURNAL OF INFECTIOUS DISEASES, 2019, 86 : 82 - 93
  • [48] Dynamic spatiotemporal analysis of indigenous dengue fever at street-level in Guangzhou city, China
    Liu, Kangkang
    Zhu, Yanshan
    Xia, Yao
    Zhang, Yingtao
    Huang, Xiaodong
    Huang, Jiawei
    Nie, Enqiong
    Jing, Qinlong
    Wang, Guoling
    Yang, Zhicong
    Hu, Wenbiao
    Lu, Jiahai
    [J]. PLOS NEGLECTED TROPICAL DISEASES, 2018, 12 (03):
  • [49] Who Is the Most Vulnerable to Anxiety at the Beginning of the COVID-19 Outbreak in China? A Cross-Sectional Nationwide Survey
    Liu, Bei
    Han, Bingfeng
    Zheng, Hui
    Liu, Hanyu
    Zhao, Tianshuo
    Wan, Yongmei
    Cui, Fuqiang
    [J]. HEALTHCARE, 2021, 9 (08)
  • [50] Isolation and characterization of dengue virus serotype 2 from the large dengue outbreak in Guangdong, China in 2014
    Hui Zhao
    LingZhai Zhao
    Tao Jiang
    XiaoFeng Li
    Hang Fan
    WenXin Hong
    Yu Zhang
    Qin Zhu
    Qing Ye
    YiGang Tong
    WuChun Cao
    FuChun Zhang
    ChengFeng Qin
    [J]. Science China Life Sciences, 2014, 57 : 1149 - 1155