PDF(Pubmed)
Abstract：
Identification of Aedes aegypti breeding hotspots is essential for the implementation of targeted vector control strategies and thus the prevention of several mosquito-borne diseases worldwide. Training computer vision models on satellite and street view imagery in the municipality of Rio de Janeiro, we analyzed the correlation between the density of common breeding grounds and Aedes aegypti infestation measured by ovitraps on a monthly basis between 2019 and 2022. Our findings emphasized the significance (p ≤ 0.05) of micro-habitat proxies generated through object detection, allowing to explain high spatial variance in urban abundance of Aedes aegypti immatures. Water tanks, non-mounted car tires, plastic bags, potted plants, and storm drains positively correlated with Aedes aegypti egg and larva counts considering a 1000 m mosquito flight range buffer around 2700 ovitrap locations, while dumpsters, small trash bins, and large trash bins exhibited a negative association. This complementary application of satellite and street view imagery opens the pathway for high-resolution interpolation of entomological surveillance data and has the potential to optimize vector control strategies. Consequently it supports the mitigation of emerging infectious diseases transmitted by Aedes aegypti, such as dengue, chikungunya, and Zika, which cause thousands of deaths each year.
摘要：
确定埃及伊蚊的繁殖热点对于实施有针对性的媒介控制策略以及预防世界范围内的几种蚊子传播疾病至关重要。在里约热内卢市的卫星和街景图像上训练计算机视觉模型，我们分析了2019年至2022年期间每月产卵器测量的常见繁殖地密度与埃及伊蚊侵染之间的相关性.我们的发现强调了通过物体检测产生的微生境代理的重要性(p≤0.05)，允许解释埃及伊蚊不成熟的城市丰度的高空间差异。水箱,非安装汽车轮胎，塑料袋,盆栽植物,考虑到在2700个产卵器位置附近有1000米的蚊子飞行范围缓冲区，风暴排水与埃及伊蚊的卵和幼虫数量呈正相关，而垃圾箱，小垃圾桶,和大型垃圾箱表现出负相关性。卫星和街景图像的这种互补应用为昆虫学监测数据的高分辨率插值开辟了途径，并有可能优化矢量控制策略。因此，它支持减轻埃及伊蚊传播的新出现的传染病，比如登革热，基孔肯雅,和Zika,每年造成数千人死亡。
