ISSN 1003-8280 CN 10-1522/R 中国疾病预防控制中心 主办
Chinese Journal of Vector Biology and Control >
A study of mosquito population variation in Jiangsu province, China, 2008-2018
Received date: 2020-10-14
Online published: 2021-02-20
Supported by
Supported by the Jiangsu Provincial Young Medical Key Talents Training Project (No. QNRC2016544), Construction Project of Key Medical Disciplines (Laboratories) in Jiangsu Province (No. ZDXKA2016008), National Science and Technology Major Project of China (No. 2017ZX10303404-004), and the Subject of Jiangsu Health Commission (No. H2018103)
Objective To investigate mosquito population variation in Jiangsu province, China from 2008 to 2018, and to provide a basis for mosquito control in Jiangsu province. Methods We collected adult mosquito surveillance data obtained using the lamp trapping method at provincial surveillance sites in Jiangsu from 2008 to 2018 to analyze mosquito population variation in urban and rural areas in Jiangsu. The pairwise Kruskal-Wallis test was used for statistical analysis. Results The mosquito density in urban areas, rural areas, and the whole province in Jiangsu from 2008 to 2018 was 7.53, 61.26, and 28.26 mosquitoes/light·night, respectively; in general, the annual mosquito density showed an increasing trend in urban areas, but a decreasing trend in rural areas and the whole province. In the three types of habitats in urban areas, i.e., residential areas, parks, and hospitals, parks were dominant habitats; in the two types of habitats in rural areas, i.e., civilian residences and livestock sheds, livestock sheds were dominant habitats, which were also absolutely dominant habitats among the five types of habitats mentioned above, with a mosquito density over seven times that in other four types of habitats. In the 11 years, the pooled mosquito density by month showed a single-peak variation in urban areas, rural areas, and the whole province, with a peak density in July (17.81, 235.23, and 101.95 mosquitoes/light·night, respectively, for the above three areas); in mosquito seasons, the mosquito density by month in rural areas was 1.50-13.20 times that in urban areas. The composition of mosquito populations in Jiangsu province was mainly Culex pipiens pallens, Cx. tritaeniorhynchus, Aedes albopictus, Anopheles sinensis, An. lesteri, and Armigeres subalbatus; Cx. pipiens pallens was the absolutely dominant species in urban areas; in rural areas and the whole province, the dominant species was Cx. tritaeniorhynchus in most of the 11 years and was Cx. pipiens pallens in the other few years. In most of the 11 years, the density of Cx. pipiens pallens in rural areas was about 2 times that in urban areas, with a significant difference between the two (χ2=15.783, P<0.01); in each of the 11 years, the density of Cx. tritaeniorhynchus in rural areas was over 10 times that in urban areas, with a significant difference between the two (χ2=15.783, P <0.01); the density of the two dominant species showed a single-peak seasonal variation, with a peak density in July. Except for the dominant species, the pooled density by month of other four species was higher in rural areas than in urban areas. Conclusion Remarkable achievements have been made in mosquito control in rural areas in Jiangsu province, while more efforts are needed in urban areas. The focus of mosquito control in rural areas should be livestock sheds and dominant mosquito species; effective surveillance of Ae. albopictus and Ar. subalbatus remains to be pushed forward. The pooled mosquito densities by year and month over the 11 years can provide a preliminary reference for the initiation of mosquito control in Jiangsu province.
Key words： Mosquito; Population variation; Habitat; Mosquito control
YANG Wei-fang, ZHANG Yu-fu, LIU Da-peng, CHU Hong-liang . A study of mosquito population variation in Jiangsu province, China, 2008-2018[J]. Chinese Journal of Vector Biology and Control, 2021 , 32(1) : 45 -51 . DOI: 10.11853/j.issn.1003.8280.2021.01.009
[1] Cailly P,Tran A,Balenghien T,et al. A climate-driven abundance model to assess mosquito control strategies[J]. Ecol Modell,2012,227:7-17. DOI:10.1016/j.ecolmodel.2011.10.027.
[2] World Health Organization. World malaria report 2018[R]. Geneva:WHO,2018:12.
[3] Gubler DJ. The global emergence/resurgence of arboviral diseases as public health problems[J]. Arch Med Res,2002,33(4):330-342. DOI:10.1016/S0188-4409(02)00378-8.
[4] Chu HL,Wu ZM,Chen HN,et al. Japanese encephalitis virus infection rate and detection of genotype I from Culex tritaeniorhynchus collected from Jiangsu,China[J]. Vector Borne Zoonotic Dis,2017,17(7):503-509. DOI:10.1089/vbz.2016. 2086.
[5] Focks DA,Haile DG,Daniels E,et al. Dynamic life table model for Aedes aegypti (Diptera:Culicidae):simulation results and validation[J]. J Med Entomol,1993,30(6):1018-1028. DOI:10.1093/jmedent/30.6.1018.
[6] Juliano AJ. Population dynamics[J]. J Am Mosq Control Assoc,2007,23:265-275. DOI:10.2987/8756-971X(2007)23[265:PD]2.0.CO;2.
[7] 杨维芳,徐燕,褚宏亮,等. 2002-2007年江苏省主要病媒生物密度与构成情况分析[J]. 中国媒介生物学及控制杂志,2008,19(5):432-435. DOI:10.3969/j.issn.1003-4692. 2008. 05.015.Yang WF,Xu Y,Chu HL,et al. Population dynamic analysis of main vectors from 2002 to 2007 in Jiangsu province[J]. Chin J Vector Biol Control,2008,19(5):432-435. DOI:10.3969/j.issn.1003-4692.2008.05.015.
[8] 郭玉红,吴海霞,刘小波,等. 2018年全国媒介蚊虫监测报告[J]. 中国媒介生物学及控制杂志,2019,30(2):128-133. DOI:10.11853/j.issn.1003.8280.2019.02.003.Guo YH,Wu HX,Liu XB,et al. National vectors surveillance report on mosquitoes in China,2018[J]. Chin J Vector Biol Control,2019,30(2):128-133. DOI:10.11853/j.issn.1003. 8280.2019.02.003.
[9] 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. 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. DOI:10.11853/j.issn.1003. 8280.2020.04.003.
[10] 杨维芳,孙俊,徐燕,等. 三带喙库蚊发生量与气象因子相关性初步分析[J]. 中国媒介生物学及控制杂志,2010,21(1):49-50.Yang WF,Sun J,Xu Y,et al. A preliminary study on the relationship between occurrence of Culex tritaeniorhynchus and meteorological factors[J]. Chin J Vector Biol Control,2010,21(1):49-50.
[11] 杨维芳,褚宏亮,田野,等. 两种采样方法捕获稻田蚊虫效果的比较[J]. 中华卫生杀虫药械,2015,21(4):362-366.Yang WF,Chu HL,Tian Y,et al. Mosquito trapping efficacy between two mosquito-trap methods in the rice growing area[J]. Chin J Hyg Insect Equip,2015,21(4):362-366.
[12] 杨维芳,何隆华,褚宏亮,等. 南京江宁旱稻种植区农户和稻田成蚊发生的高相关性[J]. 应用昆虫学报,2015,52(4):896-900. DOI:10.7679/j.issn.2095-1353.2015.106.Yang WF,He LH,Chu HL,et al. High concordance of adult mosquito population dynamics in peasant households and dry rice paddies in suburban Nanjing[J]. J Appl Entomol,2015,52(4):896-900. DOI:10.7679/j.issn.2095-1353.2015.106.
[13] 周杨,王剑,谭维昌,等. 云南省大理市洱海周边居民区蚊虫种类组成及孳生习性调查[J]. 中国媒介生物学及控制杂志,2019,30(1):56-59. DOI:10.11853/j.issn.1003.8280.2019. 01.012.Zhou Y,Wang J,Tan WC,et al. An investigation of mosquito species and breeding habit in the residential area around Erhai lake in Dali,Yunnan province,China[J]. Chin J Vector Biol Control,2019,30(1):56-59. DOI:10.11853/j.issn.1003.8280. 2019.01.012.
[14] 熊进峰,刘漫,谭梁飞,等. 湖北省2018年病媒生物监测报告[J]. 中国媒介生物学及控制杂志,2019,30(6:):643-647. DOI:10.11853/j.issn.1003.8280.2019.06.011.Xiong JF,Liu M,Tan LF,et al. A vector surveillance report of Hubei province,China,2018[J]. Chin J Vector Biol Control,2019,30(6):643-647. DOI:10.11853/j.issn.1003.8280.2019. 06.011.
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