Objective To investigate the species composition, distribution, seasonal variation, and density of rodents in different environments by analyzing rodent surveillance data in human settlements of Inner Mongolia autonomous region (Inner Mongolia), China, in 2017-2019, and to provide a reference for rodent prevention and control in Inner Mongolia. Methods The trap-at-night method and the path method were used to monitor rodent density once every two months (in odd months), and monitoring was performed in the middle ten days of each odd month, with an interval of no less than 30 days. Surveillance sites were selected from three habitats of urban residential area, special industry, and rural villages, and more than 200 effective traps were placed at each surveillance site in each odd month. Excel 2013 software was used for data analysis, SPSS 25.0 software was used for statistical analysis, and the chi-square test was used for comparison of rates. Results The mean rodent density in Inner Mongolia was 0.53% in 2017-2019, and the dominant species was Mus musculus, followed by Rattus norvegicus, with a composition ratio of 67.57% and 25.94%, respectively, and the other rodent species accounted for 6.49%. There were two peaks in rodent density， namely spring of 2018 and winter of 2019， and the density was generally low in the summer and the autumn. Rural villages had the highest rodent density of 1.10%, and there was also a significant difference in rodent density between different habitats (χ2=51.188, P<0.001). Conclusion There are differences in rodent density and seasonal variation between different years and habitats. Therefore, comprehensive prevention and control measures should be taken to effectively reduce rodent density in human settlements and fundamentally control the risk of rodent-borne diseases.
SI Xiao-yan, BAI Guo-hui, SONG Li-tao, SHI Ting, NAN Xiao-wei, CHEN Ji-lai, ZHANG Zhong-bing, GAO Yu-long, HE Rui-xia, GUO Hui-min
. An analysis of rodent surveillance data in human settlements of Inner Mongolia, China, in 2017-2019[J]. Chinese Journal of Vector Biology and Control, 2021
, 32(5)
: 586
-589
.
DOI: 10.11853/j.issn.1003.8280.2021.05.015
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