Objective To analyze the seasonal characteristics of mosquito distribution in Hebei province, China from 2016 to 2019 using the circular distribution method based on seasonal decomposition, and to evaluate the feasibility of its application in the statistical analysis of mosquito surveillance data. Methods Excel 2007 and SPSS 19.0 softwares, as well as seasonal decomposition method, were used to decompose the seasonal characteristics of mosquito density in Hebei province from 2016 to 2019, and the seasonal trend of mosquito density was analyzed. The t-test was used to compare the original mosquito density and the original fitted mosquito density. The seasonal index and the circular distribution method were used to speculate the peak day and peak period of mosquito density in Hebei province. Results The mosquito density data in Hebei province from 2016 to 2019 were decomposed seasonally, and a season model of its trend was established as follows: Ÿt = (1.328+0.072t-0.001t2) + St (Ÿt: the predicted mosquito density in a month, t: serial number, St: seasonal index, F=2.679, P<0.05). The original fitted mosquito density obtained through the predicted value of trend T and the seasonal index had a basically consistent trend with the original mosquito density. The mosquito density data in Hebei province from 2016 to 2019 had obvious seasonality, which increased first and then decreased. The peak day of mosquito density was August 2, and the peak period was observed from June 27 to September 5. Conclusion When meeting the application conditions, the circular distribution method based on periodic decomposition has a good application value in analyzing mosquito surveillance data and seasonal characteristics.
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