ISSN 1003-8280 CN 10-1522/R 中国疾病预防控制中心 主办
Chinese Journal of Vector Biology and Control >
Clustering analysis on the regional division of the resistance levels of Blattella germanica
Received date: 2016-05-09
Online published: 2016-10-20
Supported by
Supported by the Key Issues of Medical Science Research in Hebei Province (No. 20150103)
Objective The resistance level of nine local strains of Blattella germanica was divided into regions by clustering in Hebei province, providing the basis for regional control of B. germanica. Methods The method of contact with chemical cover was used in this study. The resistance ratios in different populations were categorized by clustering analysis. Results According to the theory of cluster analysis processing, the data of resistance levels were clustered to four categories to 4 groups. The first category is Shijiazhuang and Qinhuangdao strains: low to medium resistance to beta-cypermethrin low resistance to propoxur, high resistance to acephate and permethrin, medium to high resistance to deltamethrin; the second category was Baoding and Handan strains: low to medium resistance to beta-cypermethrin, acephate and deltamethrin, and low resistance to permethrin and propoxur; the third category was Zhangjiakou strain: high resistance to permethrin and acephate, medium resistance to beta-cypermethrin and deltamethrin, low resistance to propoxur; the fourth category was Cangzhou, Xingtai, Chengde, Tangshan strains: medium to high resistance to beta-cypermethrin, low to medium resistance to acephate, high resistance to permethrin: medium resistance to deltamethrin, and low resistance to propoxur. Conclusion Clustering analysis can be satisfactory tool to classify resistance levels in different regions.
Key words： Resistance; Clustering analysis; Blattella germanica
HAN Xiao-li, GAO Wen, HUANG Gang, MA Li-hua, WANG Xi-ming . Clustering analysis on the regional division of the resistance levels of Blattella germanica[J]. Chinese Journal of Vector Biology and Control, 2016 , 27(5) : 467 -473 . DOI: 10.11853/j.issn.1003.8280.2016.05.011
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