• 技术与方法 •

### CO2诱蚊灯法监测淡色库蚊的时间频次模型研究

1. 上海市疾病预防控制中心传染病防治所, 上海 200336
• 收稿日期:2021-06-30 出版日期:2022-02-20 发布日期:2022-02-17
• 通讯作者: 吴寰宇,中心副主任,E-mail:wuhuanyu@scdc.sh.cn
• 作者简介:周毅彬,男,博士,副主任医师,主要从事病媒生物研究工作,E-mail:zhouyibin@scdc.sh.cn;姚隽一,男,技师,主要从事媒介疾病研究工作,E-mail:yaojuanyi@scdc.sh.cn
• 基金资助:
上海市卫生健康委员会科研项目（201940350）；上海市第五轮公共卫生体系建设三年行动计划重点学科项目（GWV-10.1-XK13）；病原微生物生物安全国家重点实验室开放基金（SKLPBS2128）

### A study of time-frequency model for monitoring Culex pipiens pallens by CO2 mosquito lamps

ZHOU Yi-bin, YAO Jun-yi, ZHU Yi-yi, ZHU Jiang, LENG Pei-en, WU Huan-yu

1. Institute for Prevention and Control of Infectious Diseases, Shanghai Center for Disease Control and Prevention, Shanghai 200336, China
• Received:2021-06-30 Online:2022-02-20 Published:2022-02-17
• Supported by:
Shanghai Municipal Health Commission (No. 201940350); Fifth Round of Three-year Action for Public Health System Construction in Shanghai (No. GWV-10.1-XK13); State Key Laboratory of Pathogen and Biosecurity (No. SKLPBS2128)

Abstract: Objective To build a temperature difference-based CO2 mosquito lamp sampling model, and to provide evidence for CO2 mosquito lamp monitoring frequency. Methods A total of 229 CO2mosquito lamps were set to monitor the density of Culex pipiens pallens every ten days (defined as one period) from April to November in 15 districts of Shanghai, China. The monitoring data of 2019 were used as the training set, and those of 2020 were used as the test set. A function of mean and standard deviation was established based on Taylor’s power law, and the sample size formula for mean comparison between two samples was substituted into the function to establish a sampling model based on density difference. A linear regression model was used to establish a regression equation of the density difference between two adjacent monitoring activities and the temperature difference (during 10 days before monitoring) between two monitoring activities. The density difference-based sampling model was substituted to construct a temperature difference-based sampling model. The Wilcoxon rank-sum test was used for mean comparison between two samples. The model was validated using accuracy, recall, and F-measure. Results In the density difference-based sampling model, for both 2019 and 2020, the difference in mean mosquito density was significant between two adjacent periods(all P<0.05), between two periods with an interval of one period(all P<0.05), and between two periods with an interval of two periods(all P<0.05), accounting for 34.78%, 59.09%, and 76.19% in 2019, respectively, and 21.74%,59.09%, and 66.67% in 2020, respectively. In the validation of the temperature difference-based sampling model with the data of 2020, the accuracy was 0.563, the recall was 0.720, and the F-measure was 0.632. Conclusion The temperature difference-based sampling model is practical, which can estimate the optimal frequency of CO2 mosquito lamp monitoring based on temperature difference. CO2 mosquito lamp monitoring frequency in Shanghai from April to November can be adjusted from once every 10 days at present to once every 20 days, and can be increased based on temperature changes.