Analysis of vectors ecological surveillance results in Lanzhou in 2024
LUO Junde
SUN Yuling
WANG Yuhong
LI Xiaolong
SHI Yinping
Abstract:Objective To understand the ecological distribution and seasonal fluctuation of vectors in Lanzhou.and provide basic data for vector-borne disease surveillance and early warning.Methods The densities monitoring of rodents,mosquitoes,flies and cockroaches were carried out in all counties and districts of Lanzhou.The rodent density was monitored by the night trap and sticky board method,adult mosquitoes by the mosquito trap method,flies by the cage trap method,and cockroaches by the sticky trap method.The density of vector among different habitats was compared by Chi-square test.Results In 2024,the rodent capture rate in Lanzhou was 0.10%.Rodent density was higher in rural residential areas with no seasonal variation.There was no statistically significant difference in rodent capture rates among different habitats(χ2=7.099,P=0.069).The annual adult mosquito density was 2.87 mosquitoes per light per night.No statistically significant difference in adult mosquito density was observed across different habitats throughout the year(χ2=245.00,P=0.506).A density peak occurred in July-August,during which a statistically significant difference in mosquito density was found across different habitats(χ2=31.645,P<0.001).The fly density was 2.11 flies per cage,reaching the peak in July.No statistically significant difference in fly density was observed among different habitats(χ2=15.862,P=0.070).The cockroach density was 0.26 cockroaches per sticky trap,with an infestation rate of 11.84%.A statistically significant difference in cockroach density was observed among farmers' markets,supermarkets,catering establishments,and residential areas(χ2=48.375,P<0.001).Conclusion The overall density of rodents,mosquitoes,flies and cockroaches was at a low level in Lanzhou.It is suggested to optimize the layout of monitoring sites according to the actual situation of different county and district,and effectively carry out early warning and control of vectors.
Keywords:vectordensitysurveillanceseasonal fluctuation
Publication Date:2025-12-20
Online Publishing Date:2026-01-09(First online date of this platform, not the publication date of the document)
Pages:5( 696-700 )
