摘要
目的分析气象因素对济南市城区蚊密度的影响与滞后效应,为进一步科学防制蚊虫及蚊媒传染病提供依据。方法采用BG-trap捕蚊器法收集2021年济南市城区蚊虫监测资料和同期相应的气象资料,构建分布滞后非线性模型,研究气温、湿度、气压、降水对蚊密度的滞后效应。结果共捕获31018只蚊虫,其中库蚊属淡色库蚊22436只,占72.33%,伊蚊属白纹伊蚊8570只,占27.63%;阿蚊属骚扰阿蚊12只,占0.04%。在23.64℃时,滞后2 d时蚊密度效应最大,相对危险度(RR)=1.021[95%置信区间(CI):1.002~1.058]。在相对湿度为98.00%,滞后11 d时,蚊密度最高,RR=1.232(95%CI:1.002~1.514)。气压在984.99 hPa处,滞后17 d左右,蚊密度最高,RR=1.376(95%CI:1.205~1.559)。日降水量在21.25 mm,滞后8 d左右后,蚊密度效应达最高,RR=1.352(95%CI:1.133~1.590)。结论气温、湿度、降水和气压对蚊密度具有非线性影响,存在滞后效应,蚊密度高峰期出现在雨热同期的夏季,较高温度和湿度会使蚊密度升高,有关部门应根据气象条件,及早采取干预措施,切实降低蚊传疾病的风险。
Objective To analyze the lagged effects of meteorological factors on mosquito density in the urban areas of Ji’nan,China,so as to provide a basis for further scientific prevention and control of mosquitoes and mosquito-borne infectious diseases.Methods We collected the mosquito data monitored with BG-traps and the concurrent meteorological data in the urban areas of Ji’nan in 2021 to construct a distributed lag nonlinear model to study the lagged effects of air temperature,humidity,air pressure,and precipitation on the mosquito density.Results A total of 31018 mosquitoes were captured,including Culex pipiens pallens(22436/31018,72.33%),Aedes albopictus(8570/31018,27.63%),and Armigeres subalbatus(12/31018,0.04%).When the air temperature was 23.64℃,the effect on mosquito density was maximum at a lag of 2 d(relative risk[RR]=1.021,95%confidence interval[CI]:1.002-1.058).When the relative humidity was 98.00%,mosquito density was highest at a lag of 11 d(RR=1.232,95%CI:1.002-1.514).When the air pressure was 984.99 hPa,the mosquito density was highest at a lag of around 17 d(RR=1.376,95%CI:1.205-1.559).When the daily precipitation was 21.25 mm,the effect on mosquito density peaked at a lag of around 8 d(RR=1.352,95%CI:1.133-1.590).Conclusions Air temperature,humidity,precipitation,and air pressure have non-linear and lagged effects on mosquito density.The peak of mosquito density occurs in hot and rainy summer since high temperature and humidity can increase mosquito density.Relevant departments should take early intervention measures according to meteorological cond itions to effectively reduce the risk of mosquito-borne diseases.
作者
孙钦同
刘言
韩英男
胡巨凤
王学军
刘文杰
曹馨月
赖世宏
何倩
景晓
SUN Qin-tong;LIU Yan;HAN Ying-nan;HU Ju-feng;WANG Xue-jun;LIU Wen-jie;CAO Xin-yue;LAI Shi-hong;HE Qian;JING Xiao(Institute of Disinfection&Vector Borne Disease Control,Shandong Provincial Center for Disease Control and Prevention/Shandong Academy of Preventive Medicine,Ji’nan,Shandong 250014,China;Children’s Hospital of Ji’nan/Children’s Hospital of Shandong University,Ji’nan,Shandong 250022,China;Shandong First Medical University,Ji’nan,Shandong 250000,China)
出处
《中国媒介生物学及控制杂志》
北大核心
2023年第6期799-803,813,共6页
Chinese Journal of Vector Biology and Control
基金
山东省医药卫生科技发展计划(202012051157,202112070737)
山东省人文社会科学课题(2021-ZXJK-17)
山东省疾病预防控制中心青年创新基金项目(QC-2022-07)。
关键词
媒介生物
蚊虫监测
气象因素
分布滞后非线性模型
Disease vector
Mosquito monitoring
Meteorological factor
Distributed lag non-linear model
