Comparison of Climatic Factors on Mosquito Abundance at US Army Garrison Humphreys, Republic of Korea [post]

Myung-Jae Hwang, Heung-Chul Kim, Terry A. Klein, Sung-Tae Chong, Kisung Sim, Yeonseung Chung, Hae-Kwan Cheong
2020 unpublished
Background A number of studies have been conducted on the relationship between the distribution of mosquito abundance and meteorological variables. However, few studies have specifically provided specific ranges of temperatures for estimating the maximum abundance of mosquitoes as an empirical basis for climatic dynamics for estimating mosquito-borne infectious disease risks.Methods Adult mosquitoes were collected for three consecutive nights/week using Mosquito Magnet® Independence® model
more » ... during 2018 and 2019 at US Army Garrison (USAG) Humphreys, Pyeongtaek, Gyeonggi Province, Republic of Korea (ROK). An estimate of daily mean temperatures (provided by the Korea Meteorological Administration) were distributed at the maximum abundance for selected species of mosquitoes using daily mosquito collection data after controlling for mosquito ecological cycles and environmental factors.Results Using the Monte-Carlo simulation, the overall mosquito population abundance peaked at 22.7℃ (2.5th−-97.5th : 21.7℃–23.8 ℃). Aedes albopictus, vector of Zika, chikungunya, dengue fever and other viruses, abundance peaked at 24.6℃ (2.5th − 97.5th, 22.3℃–25.6℃), while Japanese encephalitis virus (JEV) vectors, e.g., Culex tritaeniorhynchus and Culex pipiens, peaked at 24.3℃ (2.5th − 97.5th : 21.9℃–26.3℃) and 22.6℃ (2.5th − 97.5th : 21.9℃–25.2℃), respectively. Members of the Anopheles Hyrcanus Group, some of which are vivax malaria vectors in the ROK, abundance peaked at 22.4℃ (2.5th − 97.5th : 21.5℃–23.8℃).Conclusion The empirical mean temperature ranges for maximum abundance were determined for each mosquito species collected at USAG Humphreys. These data contributed to the identification of relative mosquito abundance patterns for estimating mosquito-borne disease risks and developing and implementing disease prevention practices.
doi:10.21203/ fatcat:vdx7zgxprzhp3jo35el6wgto5e