High-resolution mapping of urban Aedes aegypti immature abundance through breeding site detection based on satellite and street view imagery
1
Issued Date
2024-12-01
Resource Type
eISSN
20452322
Scopus ID
2-s2.0-85200503706
Journal Title
Scientific Reports
Volume
14
Issue
1
Rights Holder(s)
SCOPUS
Bibliographic Citation
Scientific Reports Vol.14 No.1 (2024)
Suggested Citation
Knoblauch S., Su Yin M., Chatrinan K., de Aragão Rocha A.A., Haddawy P., Biljecki F., Lautenbach S., Resch B., Arifi D., Jänisch T., Morales I., Zipf A. High-resolution mapping of urban Aedes aegypti immature abundance through breeding site detection based on satellite and street view imagery. Scientific Reports Vol.14 No.1 (2024). doi:10.1038/s41598-024-67914-w Retrieved from: https://repository.li.mahidol.ac.th/handle/123456789/100435
Title
High-resolution mapping of urban Aedes aegypti immature abundance through breeding site detection based on satellite and street view imagery
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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.