Risk assessment indicator system for cross-border imported dengue fever in Yunnan border area

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  • 1 Yunnan Center for Disease Control and Prevention, Kunming 650022, Yunnan Province, China;
    2 The First Affiliated Hospital of Guiyang University of Chinese Medicine

Received date: 2018-07-17

  Online published: 2018-12-20

Abstract

Objective To establish a risk assessment indicator system for cross-border imported dengue fever in Yunnan province, and to provide scientific evidence and reference for the prevention and control of cross border transmission of dengue fever. Methods Qualitative and quantitative research combining the first literature retrieval research, group discussion and expert consultation tentatively set the original indicator system framework, and then through the analytic hierarchy process (AHP) and Delphi method constructed the risk assessment indicator and its weight. Results The positive coefficient of the 2-round of expert consultation was 100%; the average expert authority indices were 0.836 1±0.074 3、0.861 1±0.055 7; the mean coefficient of variation was 0.297 3±0.169 7, 0.158 6±0.052 3; expert opinion coordination coefficient was 0.678 (χ2=573.694, P<0.05) and 0.691 (χ2=577.390, P<0.05). After two rounds of expert consultation, the risk assessment indicator system for imported dengue fever in the border areas of Yunnan province was established, including 4 of first level indicators, 10 of two level indicators and 41 of three level indicators. Conclusion Preliminary establishment of the risk assessment indicator system for cross-border imported dengue fever in the border areas of Yunnan. The indicator system provides a reference for carrying out risk assessment of dengue transmission, and provided a scientific basis for the prevention and control of dengue fever in border areas.

Cite this article

HUANG Tian, JIANG Li, LI Qiong-fen, ZHENG Er-da, ZHENG Yan, HE Ji-bo . Risk assessment indicator system for cross-border imported dengue fever in Yunnan border area[J]. Chinese Journal of Vector Biology and Control, 2018 , 29(6) : 594 -597 . DOI: 10.11853/j.issn.1003.8280.2018.06.010

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