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CN 34-1304/RISSN 1674-3679

Volume 25 Issue 4
May  2021
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YANG Ying-yu, WANG Ying-ying, CHEN Yun, FU Chao-wei. Study on the associations of density indexes of Aedes albopictus for dengue with meteorological factors in Baoshan District of Shanghai[J]. CHINESE JOURNAL OF DISEASE CONTROL & PREVENTION, 2021, 25(4): 466-471. doi: 10.16462/j.cnki.zhjbkz.2021.04.017
Citation: YANG Ying-yu, WANG Ying-ying, CHEN Yun, FU Chao-wei. Study on the associations of density indexes of Aedes albopictus for dengue with meteorological factors in Baoshan District of Shanghai[J]. CHINESE JOURNAL OF DISEASE CONTROL & PREVENTION, 2021, 25(4): 466-471. doi: 10.16462/j.cnki.zhjbkz.2021.04.017

Study on the associations of density indexes of Aedes albopictus for dengue with meteorological factors in Baoshan District of Shanghai

doi: 10.16462/j.cnki.zhjbkz.2021.04.017
Funds:

Science and Technology Innovation Special Fund Project of Baoshan District Science and Technology Committee of Shanghai 18-E-35

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  • Corresponding author: FU Chao-wei, E-mail: fcw@fudan.edu.cn
  • Received Date: 2020-07-30
  • Rev Recd Date: 2020-11-09
  • Available Online: 2021-05-11
  • Publish Date: 2021-04-10
  •   Objective  To analyze the influence of meteorological factors on the density indexes of Aedes albopictus in Baoshan District of Shanghai, and its application in the prevention and control of dengue fever and other mosquito-borne infectious diseases.  Methods  The monitoring data and meteorological data on Aedes albopictus in Baoshan District of Shanghai City from April 2019 to October 2019 were collected, and the generalized additive model (GAM) was used for analysis.  Results  The density index of Aedes albopictus in summer and autumn were higher than that in winter and spring. Results from GAM indicated that the daily average temperature was positively associated with the logarithm of perched index (F=27.64, P < 0.001), the logarithm of Breteau Index (BI) (F=24.75, P < 0.001), and the logarithm of mosq-ovitrap index (MOI) (F=101.56, P < 0.001); the daily cumulative precipitation was positively associated with the logarithm of the MOI (F=14.73, P < 0.001), and was non-linearly associated with the logarithm of net trap index (P < 0.001).  Conclusion  Temperature and precipitation were the main meteorological factors affecting the distribution of Aedes mosquitoes in Baoshan District of Shanghai. Scientific and effective vector mosquito monitoring and prediction based on the correlation between meteorology and mosquito growth can lay a foundation for the early warning, risk assessment and scientific prevention and control of diseases transmitted by Aedes mosquitoes.
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