Vector Surveillance

Surveillance results of two important vector mosquitoes in Tianshui, Gansu, China, 2017-2020

Expand
  • 1. Vector Control Division, Tianshui Center for Disease Control and Prevention, Tianshui, Gansu 741000, China;
    2. State Key Laboratory of Infectious Disease Prevention and Control, WHO Collaborating Centre for Vector Surveillanceand Management, Department of Vector Biology and Control, National Institute for Communicable Disease Controland Prevention, Chinese Center for Disease Control and Prevention, Beijing 102206, China

Received date: 2021-06-04

  Online published: 2021-08-20

Abstract

Objective To investigate the density distribution and seasonal variation of Culex tritaeniorhynchus and Aedes albopictus in different habitats in Tianshui, Gansu province, China, and to provide a scientific basis for the prevention and control of mosquitoes and related infectious diseases in Tianshui. Methods A 4-year investigation was performed for 5-7 habitats twice a month from 2017 to 2020. The light trapping method was used to monitor adult Culex mosquitoes, and the double-layered mosquito net method was used to monitor adult Aedes mosquitoes in 3 habitats. SPSS 21.0 software was used to perform the chi-square test, Welch’s ANOVA analysis, and median test for the data of different years, habitats, and months. Results A total of 19 659 female mosquitoes were captured from 2017 to 2020, among which there were 5 759 Cx. tritaeniorhynchus mosquitoes (accounting for 29.29%), and there was a significant difference in the constituent ratio of different mosquito populations in the four years (χ2=851.227, P<0.001). The 4-year mean mosquito density was 5.81 mosquitoes/light/night, with the highest density of 17.17 mosquitoes/light/night in August, and the density of Cx. tritaeniorhynchus in 2017 and 2018 was significantly higher than that in 2019 and 2020, while mosquito density in July, August, and September of 2017-2018 was significantly different from that in other months (χ2= 12.000, P=0.035). The density of Cx. tritaeniorhynchus was significantly correlated with the number of Japanese encephalitis (JE) cases in the 4 years (r=0.629, P<0.001). The highest density of Cx. tritaeniorhynchus was found in pigsties, i.e., 17.33 mosquitoes/light/night, while the highest density was observed in cattle sheds in 2017 and 2018 (with a high incidence rate of JE). The mean net trap index of Ae. albopictus was 4.10 mosquitoes/net/hour, and the highest net trap index was observed in August, with a significant difference in density across months (F=207.031, P=0.001). Ae. albopictus was found in all habitats monitored for 4 consecutive years, and the highest net trap index was observed at waste sites/construction sites, with a significant difference in the net trap index between different habitats (F=16.892, P=0.010). Conclusion Cattle sheds and pigsties are the dominant habitats of Cx. tritaeniorhynchus, and with the highest density in August of each year in Tianshui. Ae. albopictus is distributed in each habitat monitored in Tianshui, and waste sites/construction sites are important breeding sites for Ae. albopictus, with the peak density in July and August. It is necessary to strengthen the investigation of distribution and habitat of mosquito vector, and to control mosquito based on their ecological characteristics in Tianshui city, which could be more effectively prevent and control related mosquito-borne diseases.

Cite this article

CHEN Qiu-mei, WANG Re-qin, WU Hai-xia, ZHANG Tao, MA Yan-dong, JIE Dong-gang, GUAN Bin . Surveillance results of two important vector mosquitoes in Tianshui, Gansu, China, 2017-2020[J]. Chinese Journal of Vector Biology and Control, 2021 , 32(4) : 456 -460 . DOI: 10.11853/j.issn.1003.8280.2021.04.014

References

[1] 杨德胜, 张险朋, 徐振娜, 等.东莞市虫媒传染病流行病学调查[J].中国兽医杂志, 2016, 52(6):95-96.Yang DS, Zhang XP, Xu ZN, et al. Epidemiological investigation of arbo-borne diseases in Dongguan city[J]. Chin J Veterinary Med, 2016, 52(6):95-96.
[2] 田玉林, 杨利芳. 甘肃省天水市秦州区2016-2018年流行性乙型脑炎流行状况[J]. 中国媒介生物学及控制杂志, 2019, 30(2):232. DOI:10.11853/j.issn.1003.8280.2019.02.029.Tian YL, Yang LF. Epidemiological situation of Japanese encephalitis in Qinzhou district, Tianshui, Gansu province, during 2016-2018. Chin J Vector Biol Control, 2019, 30(2):232.DOI:10.11853/j.issn.1003.8280.2019.02.029.
[3] 赵宁, 郭玉红, 吴海霞, 等. 2019年全国媒介蚊虫监测报告[J]. 中国媒介生物学及控制杂志, 2020, 31(4):395-400, 406. DOI:10.11853/j.issn.1003.8280.2020.04.003.Zhao N, Guo YH, Wu HX, et al. National vector surveillance report on mosquitoes in China, 2019[J]. Chin J Vector Biol Control, 2020, 31(4):395-400, 406. DOI:10.11853/j.issn. 1003.8280.2020.04.003.
[4] 吴海霞, 鲁亮, 孟凤霞, 等. 2006-2015年我国蚊虫监测报告[J]. 中国媒介生物学及控制杂志, 2017, 28(5):409-415. DOI:10.11853/j.issn.1003.8280.2017.05.001.Wu HX, Lu L, Meng FX, et al. Reports on national surveillance of mosquitoes in China, 2006-2015[J]. Chin J Vector Biol Control, 2017, 28(5):409-415. DOI:10.11853/j.issn.1003.8280.2017.05.001.
[5] 王小军, 蔡玉成, 贾续珍, 等. 甘肃省陇南市流行性乙型脑炎疫情与蚊媒监测结果相关性分析[J]. 中国媒介生物学及控制杂志, 2019, 30(5):502-505. DOI:10.11853/j.issn.1003.8280.2019.05.005.Wang XJ, Cai YC, Jia XZ, et al. Correlation between Japanese encephalitis epidemic and mosquito vector surveillance results in Longnan, Gansu province, China[J]. Chin J Vector Biol Control, 2019, 30(5):502-505. DOI:10.11853/j.issn.1003.8280.2019.05.005.
[6] 卢世勇, 虎明明, 吴惠忠, 等. 2016-2018年宁夏两个国家级监测点蚊虫密度监测结果分析[J]. 宁夏医学杂志, 2021, 43(1):84-85. DOI:10.13621/j.1001-5949.2021.01.0084.Lu SY, Hu MM, Wu HZ, et al. Analysis of mosquito surveillance at two national surveillance sites in Ningxia, 2016-2018[J]. Ningxia Med J, 2021, 43(1):84-85. DOI:10.13621/j.1001-5949.2021.01.0084.
[7] 戴德芳, 李放军, 蔡亮, 等. 湖南省流行性乙型脑炎流行特征及蚊媒监测结果分析[J]. 中国媒介生物学及控制杂志, 2015, 26(6):605-608. DOI:10.11853/j.issn.1003.4692.2015.06.017.Dai DF, Li FJ, Cai L, et al. Analysis of Japanese encephalitis epidemiology and comprehensive monitoring results in Hunan province[J]. Chin J Vector Biol Control, 2015, 26(6):605-608. DOI:10.11853/j.issn.1003.4692.2015.06.017.
[8] 高文, 黄钢, 韩晓莉. 基于蚊密度差分自回归移动平均模型预测流行性乙型脑炎的贝叶斯判别分析研究[J]. 中国媒介生物学及控制杂志, 2018, 29(6):557-563. DOI:10.11853/j.issn. 1003.8280.2018.06.003.Gao W, Huang G, Han XL. Application of Bayes analysis in Japanese encephalitis prediction based on multiple seasonal autoregressive integrated moving average model[J]. Chin J Vector Biol Control, 2018, 29(6):557-563. DOI:10.11853/j.issn.1003.8280.2018.06.003.
[9] 孟凤霞, 王义冠, 冯磊, 等. 我国登革热疫情防控与媒介伊蚊的综合治理[J]. 中国媒介生物学及控制杂志, 2015, 26(1):4-10. DOI:10.11853/j.issn.1003.4692.2015.01.002.Meng FX, Wang YG, Feng L, et al. Review on dengue prevention and control and integrated mosquito management in China[J]. Chin J Vector Biol Control, 2015, 26(1):4-10. DOI:10.11853/j.issn.1003.4692.2015.01.002.
[10] 郭玉红, 王君, 刘起勇, 等.登革热传播媒介伊蚊综合治理研究[J]. 中国媒介生物学及控制杂志, 2008, 19(6):588-590. DOI:10.3969/j.issn.1003-4692.2008.06.044.Guo YH, Wang J, Liu QY, et al. Research on comprehensive management of dengue fever vector Aedes[J]. Chin J Vector Biol Control, 2008, 19(6):588-590. DOI:10.3969/j.issn.1003-4692.2008.06.044.
[11] 李国太, 傅鸿, 郭玉红, 等.甘肃省长江流域地区白纹伊蚊地理分布调查[J].中国媒介生物学及控制杂志, 2010, 21(3):248-249.Li GT, Fu H, Guo YH, et al. Geographical distribution of Aedes albopictus in the Yangtze River basin in Gansu province[J]. Chin J Vector Biol Control, 2010, 21(3):248-249.
[12] 杜建伟, 潘先海.中国登革热流行概况与流行特征[J].中华流行病学杂志, 2010, 31(12):1429-1433. DOI:10.3760/cma.j.issn.0254-6450.2010.12.025.Du JW, Pan XH. Prevalent status and features of dengue fever in China[J]. Chin J Epidemiol, 2010, 31(12):1429-1433. DOI:10.3760/cma.j.issn.0254-6450.2010.12.025.
Outlines

/