Development of a trash classification system to map potential Aedes aegypti breeding grounds using unmanned aerial vehicle imaging.

Autor: Rosser JI; School of Medicine, Division of Infectious Diseases, Stanford University, Stanford, CA, USA. jrosser@stanford.edu., Tarpenning MS; Stanford University, Stanford, CA, USA., Bramante JT; School of Medicine, University of Washington, Seattle, WA, USA., Tamhane A; BASIS Independent Silicon Valley, Palo Alto, CA, USA., Chamberlin AJ; Hopkins Marine Institute, Department of Earth System Sciences and Department of Oceans, Stanford University, Stanford, CA, USA., Mutuku PS; Division of Vector Borne Disease Control Unit, Msambweni County Referral Hospital, Msambweni, Kenya., De Leo GA; Hopkins Marine Institute, Department of Earth System Sciences and Department of Oceans, Stanford University, Stanford, CA, USA., Ndenga B; Centre for Global Health Research, Kenya Medical Research Institute, Kisumu, Kenya., Mutuku F; Department of Environment and Health Sciences, Technical University of Mombasa, Mombasa, Kenya., LaBeaud AD; School of Medicine, Division of Pediatric Infectious Diseases, Stanford University, Stanford, CA, USA.

Publikováno v: Environmental science and pollution research international [Environ Sci Pollut Res Int] 2024 Jun; Vol. 31 (28), pp. 41107-41117. Date of Electronic Publication: 2024 Jun 06.