Comparison of unmanned aerial vehicle imaging to ground truth walkthroughs for identifying and classifying trash sites serving as potential Aedes aegypti breeding grounds
UAVs provide a promising method of trash mapping and classification, which can improve research evaluating trash as a risk factor for infectious diseases or aiming to decrease community trash exposure.
Authors
- Bryson Ndenga (ORCID: https://orcid.org/0000-0002-8445-2885)
- A. Desirée LaBeaud (ORCID: https://orcid.org/0000-0001-8364-6867)
- Juliet Bramante
- Francis Mutuku (ORCID: https://orcid.org/0000-0002-9000-7008)
- Giulio A. De Leo (ORCID: https://orcid.org/0000-0002-4186-3369)
- Andrew J. Chamberlin (ORCID: https://orcid.org/0000-0002-5657-8333)
- Joelle I. Rosser (ORCID: https://orcid.org/0000-0001-7803-9333)
- Paul S. Mutuku
- Morgan S. Tarpenning
- Kavita D. Coombe
- Katherine E. Woo
Institutions
- University of Washington (US)
- Kenya Medical Research Institute (KE)
- Technical University of Mombasa (KE)
- College of Marin (US)
- Stanford University (US)
Publication Details
- Journal
- Parasites & Vectors
- Published
- 2025-03-06
- DOI
- https://doi.org/10.1186/s13071-025-06706-1
- Citations
- 1
- Primary Topic
- Mosquito-borne diseases and control
- Type
- article
- Field-Weighted Citation Impact
- 1.88