Objective To compare the effectiveness of three different devices in trapping sandflies by investigating the sandfly density. Methods From June to August of each year from 2017 to 2019, three types of devices, namely CO2 trap, Maxttrac trap, and mini light trap (MYSF-HJY-1), were used to collect sandflies from 13 rural household livestock or poultry pens in 12 villages of 9 townships in 5 counties (districts), including Yangquan, Changzhi, Yuncheng, and Linfen, of Shanxi province. The effectiveness of different devices in trapping sandflies at the same time and in the same habitat was compared. SPSS 17.0 software was used to conduct a non-parametric Wilcoxon test for two related samples on the numbers of sandflies trapped. Results A total of 10 522 sandflies were trapped, including 5 851 in Yangquan, 4 372 in Changzhi, 294 in Linfen, and 5 in Yuncheng. Five percent of the specimens were sampled randomly, and they were all identified as Phlebotomus chinensis according to microscopy. The numbers of sandflies trapped by the three different traps ranged from 0 to 1 890. The numbers of sandflies trapped by different traps at the same site ranged from 1 to 1 890. The numbers of sandflies trapped by the three different traps were analyzed by the non-parametric Wilcoxon test for two related samples; the results showed that there were significant differences in the number of trapped sandflies between CO2 trap and Maxttrac trap (P=0.034), and between CO2 trap and mini light trap (P=0.039), but there was no significant difference between Maxttrac trap and mini light trap (P=0.348). Conclusion Based on the statistical results and considering the use factors, the most suitable device for trapping sandflies is the Maxttrac trap.
DAI Pei-fang, TIAN Xiao-dong, ZHAO Jun-ying, WU Bin, FAN Zhi-guo, LI Yan, SHI Yi-ping, NI Shu-qing, CHENG Jian-shu, MA Ya-jun, YANG Zhen-zhou, CHENG Jing-xia
. The effectiveness comparative study of three different devices in trapping sandflies in different areas of Shanxi province, China[J]. Chinese Journal of Vector Biology and Control, 2020
, 31(2)
: 212
-214
.
DOI: 10.11853/j.issn.1003.8280.2020.02.019
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