Mosquito monitoring and influence of meteorological factors on mosquito density around Beijing Capital International Airport, 2016-2022
10.3969/j.issn.1005-0507.2026.01.006
- VernacularTitle:2016—2022年北京首都机场周边蚊虫监测及气象因素对蚊虫密度的影响
- Author:
Ran FENG
1
;
Tie-zheng MA
1
;
Si-jie ZHU
1
;
Bo TIAN
1
;
Fei QUAN
1
;
Zhi-lin WU
1
;
Xiao-tao LIU
1
;
Fu-yuan ZHANG
2
;
Song-jian ZHANG
1
Author Information
1. Center for Disease Control and Prevention in Shunyi District of Beijing, Beijing 101300, China
2. Shanxi Medical University Public Health, Taiyuan 030600, Shanxi, China
- Publication Type:Journal Article
- Keywords:
Mosquito density;
Population composition;
Habitat distribution;
Seasonal fluctuation;
Meteorological influences;
Generalized additive model
- From:
Acta Parasitologica et Medica Entomologica Sinica
2026;33(1):40-48
- CountryChina
- Language:Chinese
-
Abstract:
Objective To understand mosquito density, species composition, and seasonal variations around the Beijing Capital International Airport(BCIA)and provide scientific evidence for mosquito-borne disease prevention and control. Methods Meteorological data were collected from 2016 to 2022, and mosquito density was monitored at seven surveillance sites around the BCIA from May to October each year using CO2-baited mosquito traps to analyze the relationship between mosquito density and meteorological factors. Results In total,68 518 female mosquitoes were captured, with a mosquito density of 10.20 per light · hour. The dominant species was Culex pipiens pallens(73.90%), followed by Aedes albopictus(9.71%)and Ae. vexans(9.29%);the mosquito density was highest in 2016(14.8 per light·hour)and lowest in 2022(4.46 per light·hour). Significant statistical differences were observed in mosquito density among different species(F=18.118, P<0.05). The density of Cx. pipiens pallens and other mosquito species showed a mutually exclusive trend; the peak of mosquito density varied based on years and habitats, with significant statistical differences in mosquito density among different habitats(F=8.504, P<0.05). The highest mosquito density was observed near the Wenyu River(21.50 per light·hour), whereas the lowest was recorded at the BCIA construction site(2.44 per light· hour). The monthly average temperature(r=0.595), monthly average highest temperature(r=0.575), and monthly average lowest temperature(r=0.624)showed moderate positive correlations, whereas the monthly average air pressure(r=-0.484)showed a moderate negative correlation. The monthly average minimum temperature was included in the regression model(F=25.575, P<0.000), and the equation Y=1.029X4-8.181 was used. The monthly average air pressure 2 months prior(b=-2.418, β=-1.619, P<0.05)and the monthly average relative humidity(b=-0.739, β=-1.201, P<0.05)significantly negatively predicted the mosquito density. Notably, the regression equation used was y=2526.170+(-2.418)X9+(-0.739)X13. The exposure-response analysis revealed that the density of mosquitoes was not linearly related to the average monthly air pressure, rainfall, and duration of sunshine. Conclusions The dominant mosquito species around the BCIA was Cx. pipiens pallens, Ae. albopictus, and Ae. vexans. During the control of Cx. pipiens pallens, the impact on other mosquito species must also be considered. Environmental management, breeding sites, and scientific use of pesticides should be prioritized based on the activity periods of mosquitoes. Further studies on mosquitoes and meteorological factors should be conducted to provide references and novel avenues for mosquito control.
