Application of smart mosquito monitoring traps for the mosquito forecast systems by Seoul Metropolitan city

Abstract

Background The purpose of this study, mosquito forecast system implemented by Seoul Metropolitan city, was to obtain the mosquito prediction formula by using the mosquito population data and the environmental data of the past. Results For this study, the mosquito population data from April 1, 2015, to October 31, 2017, were collected. The mosquito population data were collected from the 50 smart mosquito traps (DMSs), two of which were installed in each district (Korean, gu) in Seoul Metropolitan city since 2015. Environmental factors were collected from the Automatic Weather System (AWS) by the Korea Meteorological Administration. The data of the nearest AWS devices from each DMS were used for the prediction formula analysis. We found out that the environmental factors affecting the mosquito population in Seoul Metropolitan city were the mean temperature and rainfall. We predicted the following equations by the generalized linear model analysis: ln(Mosquito population) = 2.519 + 0.08 × mean temperature + 0.001 × rainfall. Conclusions We expect that the mosquito forecast system would be used for predicting the mosquito population and to prevent the spread of disease through mosquitoes.

Reduction of mosquito communities using the mass trapping method

“…Global warming and climate change caused by increasing temperatures can result in significant changes in natural ecosystems that affect the habitats and lifestyles of various living organisms (Githeko et al 2000; Na & Yi 2020; Park & Han 2012; Parmesan 2006; Parmesan & Yohe 2003; Parry et al 2007; Root et al 2003; Walther et al 2002). These changes in temperature and precipitation patterns have increased the frequency of vector‐borne diseases, notably linked to a growing mosquito and tick population, which poses a significant social health issue (Yeom 2017).…”