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Ecological aspects of zoning the territory of the Saratov region by the risk level of formation of West Nile fever foci

K. S. Zakharov, Sh. V. Magerramov, A. N. Matrosov
2021 Povolzhskiy Journal of Ecology  
The modern period is characterized by the expansion of the areas of a number of dangerous infectious diseases, previously endemic only for the countries with tropical climate.  ...  As a result of Palearctic climate warming and humidification and under the influence of anthropogenic factors, foci of a new transmissible arboviral zoonosis – West Nile fever (WNF) – have been formed  ...  We used ERS materials obtained using the complex for aerial photography from an unmanned aerial vehicle (UAV) "GEOSCAN-101" to refine the reference images necessary for deciphering the foci of WNF.  ... 
doi:10.35885/1684-7318-2021-1-3-15 fatcat:ggfycgskzffizgtg4mmsi4xbii

Automatic Detection of Aedes aegypti Breeding Grounds Based on Deep Networks with Spatio-Temporal Consistency [article]

Wesley L. Passos, Gabriel M. Araujo, Amaro A. de Lima, Sergio L. Netto, Eduardo A. B. da Silva
2021 arXiv   pre-print
In this work, we introduce a comprehensive dataset of aerial videos, acquired with an unmanned aerial vehicle, containing possible mosquito breeding sites.  ...  All frames of the video dataset were manually annotated with bounding boxes identifying all objects of interest.  ...  Currently, organizations have been using unmanned aerial vehicles (UAVs) to inspect hardto-reach sites [8] .  ... 
arXiv:2007.14863v4 fatcat:b7ffkdp2qfhovjtx6xyl7wm2bm

Using mosquito excreta to enhance mosquito-borne disease surveillance

Ana L. Ramírez
2019
Staunton for their feedback on previous drafts of this article.  ...  Parasites & Vectors (2018) 11:320 Page 7 of 12 such as unmanned aerial vehicles (UAVs) could be used to automate sample collection in difficult to access locations increasing the coverage of surveillance  ...  are monitored using the National Notifiable Disease Surveillance System (NNDSS) [11] .  ... 
doi:10.25903/mdqe-vc16 fatcat:hyzjrrabmrbktki4e3uxq2vjw4