Due to climate change and the rise in international transportation, there is an emerging potential for outbreaks of mosquito-borne diseases such as malaria, dengue, and chikungunya. Consequently, the rapid detection of vector mosquito species, including those in the Aedes, Anopheles, and Culex genera, is crucial for effective vector control. Currently, mosquito population monitoring is manually conducted by experts, consuming significant time and labor, especially during peak seasons where it can take at least seven days. To address this challenge, we introduce an automated mosquito monitoring system designed for wild environments. Our method is threefold: It includes an imaging trap device for the automatic collection of mosquito data, the training of deep-learning models for mosquito identification, and an integrated management system to oversee multiple trap devices situated in various locations. Using the well-known Faster-RCNN detector with a ResNet50 backbone, we’ve achieved mAP (@IoU=0.50) of up to 81.63% in detecting Aedes albopictus, Anopheles spp., and Culex pipiens. As we continue our research, our goal is to gather more data from diverse regions. This not only aims to improve our model’s ability to detect different species but also to enhance environmental monitoring capabilities by incorporating gas sensors.

모기는 감염병을 매개하는 종으로 전염병 확산 억제를 위해서는 개체수의 감시와 정확한 예측이 필요하다. 본 연구에서는 모기 개체수 및 기상 및 현장 자료를 활용해 모기 개체수 머신러닝 모델을 개발하였다. 모기 개체수는 디지털 모기 측정기(Digital Mosquito Monitoring System, DMS)의 2015 년~2022년의 5월~10월의 자료를 활용하였다. 기상 자료는 기온, 강수량, 풍속, 습도를 사용하였으며, 현장 조사 자료는 현장을 명목척도와 서열척도로 나누어 기록하여, 명목 척도의 경우 원핫 인코딩으 로 변환해 수치화하여 사용하였다. 분석에 사용된 머신러닝 모델은 Artificial Neural Network, Random Forest, Gradient Boosting Machine, Support Vector Machine이며 성능지표로 R2, RMSE를 사용하였다. 연구 결과, Gradient Boosting 모델이 R2 0.4, RMSE 22.45로 가장 좋은 성능을 나타냈다. 현장 조사 자료 를 분석에 활용하였을 때 R2는 증가하였고, RMSE는 감소하였다. 본 연구 결과 모기 개체수에 현장 조사 자료가 예측 정확도를 향상시킬 수 있음을 확인하였다.

국내 감염병 매개 모기인 흰줄숲모기(Aedes albopictus), 중국얼룩날개모기(Anopheles sinensis s.l.), 빨간집모기(Culex pipens), 작은빨간집 모기(Cx. tritaeniorhynchus)를 대상으로 살충제 deltamethrin, etofenprox, bifenthrin를 석유, 등유, 그리고 물로 희석하여 휴대용 가열연막과 차량용 가열연막의 방제효과를 측정하였다. 실험은 야외에서 일정한 거리에 암컷모기가 들어있는 노출장을 매단 스탠드를 세우고 실시하였다. 세 종류의 살충제를 각각 경유에 희석하여 살포한 휴대용 가열연막은 10 m 이내의 모기에 대해 평균 52.0%의 치사율을 보였고, 살충제를 물로 희석하여 사용한 휴대용 가열연막의 모기 치사율은 평균 64.0%였다. 살충제를 경유로 희석한 차량용 가열연막은 모기에 대해 살포 거리 50 m 이 내에서 평균 34.8%의 치사율을 보였다. 가열연막용 살충제의 희석제로 사용되는 경유와 등유의 모기 치사효과는 등유가 경유에 비해 1.9배 높게 나타났다.

The Asian tiger mosquito, Aedes albopictus, is considered as potential vector of Zika virus in Republic of Korea (ROK). Vector control during mosquito season is one of critical factors for decline of viral transmission. Total 14 oversea travel-associated Zika cases by mosquito bite were reported throughout ROK from January to September 2016 and vector control and monitoring at surroundings of patient’s residences was carried out during three weeks after confirmation of the virus. Although population density rates of Ae. albopictus were remarkably various according to ecological surroundings, population density of Ae. albopictus near forest was higher than urban. All captured Aedes mosquitoes were used for detection of three flavivirus, Zika, Dengue and Chikunguya, using RT-PCR and any virus was not detected. Population density of Ae. albopictus decreased > 65% on average after vector control and in one area > 95% of population density decreased. Our data might reveal that vector monitoring and control at surroundings near residences of oversea travel-associated Zika patients might effectively prevent viral transmission by mosquito bite and naturalization of the virus in ROK.

Thailand suffers from one of the highest rates of dengue and dengue haemorrhagic fever in the world. Since there is no vaccine or any specific treatments for dengue, currently, the only effective way to prevent dengue fever and dengue hemorrhagic fever is vector control. The knowledge of basic biology, ecology, behavior and survival factors of Ae. aegypti is crucial to control mosquitoes. The impact of the environmental factors; temperature, rainfall, and humidity, on the ecology, biology, development, vector density, behavior, fitness of mosquito vectors, and the mosquito-borne disease transmission dynamics will be presented and discussed.