Objective To study the relationship between the population density of Aedes albopictus and meteorological factors and its application in the control of Ae. albopictus. Methods The relationship between Ae. albopictus density and meteorological factors in Shanghai from January 2005 to December 2008 was studied using multiple stepwise regression and neural network on Matlab. Results The combination of meteorological factors (minimum temperature, 8 pm-8 pm precipitation, sunshine duration, minimum relative humidity, wind speed, 8 pm temperature, and 8 pm atmospheric pressure) had a satisfactory predictive ability, with R-square of 0.897 00. The multiple stepwise regression equation was y＝-18.206 64x2＋3.066 16x3－3.383 90x4＋1.891 53x7＋1.689 86x8＋25.939 46x13＋1.936 35x18－2217.100 90 . R-square in prediction with neural network was 0.913 19. Neural network showed a better predictive ability than regression analysis. Conclusion The main meteorological factors closely related to mosquito density are minimum temperature, 8 pm-8 pm precipitation, sunshine duration, minimum relative humidity, wind speed, 8 pm temperature, and 8 am atmospheric pressure.
ZHOU Yi-bin, LENG Pei-en, GU Jun-zhong, LONG Chun-yu, CHEN Peng
. Study on relationship between population density of Aedes albopictusand meteorological factors in Shanghai, China[J]. Chinese Journal of Vector Biology and Control, 2014
, 25(5)
: 405
-407
.
DOI: 10.11853/j.issn.1003.4692.2014.05.005
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