【Abstract】 Objective To know about the mosquito density in Beijing city and Olympic venues by questionnaire. Methods Seven districts and seven Olympic venues were chosen to implement questionnaire survey by stratified random sampling. Results According to survey in the indoor environment, 92.31% of the respondents thought there were only a few mosquitoes in Beijing city, and 96.02% of the respondents thought there were few mosquitoes in Olympic venues. For the outdoor environment, there were 77.81% of the respondents who considered few mosquitoes in Beijing and 97.26% of the respondents considered that few mosquitoes was in the Olympic venues. About 69.85% of the respondents thought there were fewer mosquitoes in 2008 than in 2007 in Beijing. There were 80.60% of the respondents considered Olympic venues were good. Conclusion The mosquito density in both the indoor and outdoor environment in Olympic venues was lower than that in Beijing city, and the mosquito density in 2008 was lower than that in 2007.

【Abstract】 Objective To know about West Nile virus （WNV） in mosquitoes during 2008 Beijing Olympic Games, and prevent and control West Nile fever. Methods Mosquitoes were collected by  CO2  lamp  trapping  method.  Two  methods, ADAPCO’s Ramp System and MAS’s VecTest Kits, were used to detect WNV in mosquitoes. Results Compared with 2006 and 2007, the density of main vectors decreased significantly in 2008. Culex pipiens pallens was the dominant specie of mosquito, which constituted ratio reached 96.94% in Beijing Olympic venues. There were 22 275 mosquitoes captured in Beijing Olympic venues that all were negative by detection. Conclusion Mosquitoes were controlled effectively in 2008 Olympic Games. No WNV?positive mosquitoes were detected.

【Abstract】 Objective To study the influence of main meteorological parameters on the mosquito density. Methods With the data of mosquito density from 2005 to 2007 provided by Beijing Center for Disease Control and Prevention and the meteorological data such as average temperature, average minimum temperature, average maximum temperature, rainfall, rainy days, sunshine time, relative humidity and average wind speed, a multiple stepwise regression would be made with statistical software SAS 9.0. Results The multiple regression co-linearity results showed there was strong linear relationship among average temperature，average minimum temperature and average minimum temperature. The multiple stepwise regression equation was y＝0.533 97X2＋0.078 14X7－2.673 29X8－2.232 56 （X2,  X7 and X8  represented average minimum temperature, relative humidity and average wind speed, respectively）. Conclusion The main meteorological parameters closely related to mosquito density were average minimum temperature, relative humidity and average wind speed. The order which affected mosquito density was in turn average minimum temperature, average wind speed and relative humidity