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Mapping infectious disease landscapes: unmanned aerial vehicles and epidemiology
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Outgoing claims: the papers this work cites, builds on, or argues with.
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AI 2007: Advances in Artificial Intelligence
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Global trends in emerging infectious diseases
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A Drone in Every Driveway
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Anopheles atroparvus density modeling using MODIS NDVI in a former malarious area in Portugal
inferredcites →https://doi.org/10.1111/j.2041-210x.2011.00158.xopenalex-snapshot
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Global Consequences of Land Use
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Human Infections and Detection of Plasmodium knowlesi
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Factors that are associated with the risk of acquiringPlasmodium knowlesimalaria in Sabah, Malaysia: a case-control study protocol
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Dawn of Drone Ecology: Low-Cost Autonomous Aerial Vehicles for Conservation
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inferredcites →https://doi.org/10.1186/1476-072x-9-54openalex-snapshot
Pathogenic landscapes: Interactions between land, people, disease vectors, and their animal hosts
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Unhealthy Landscapes: Policy Recommendations on Land Use Change and Infectious Disease Emergence
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Estimating Distribution of Hidden Objects with Drones: From Tennis Balls to Manatees
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inferredcites →https://doi.org/10.1371/journal.pone.0077151openalex-snapshot
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inferredcites →https://doi.org/10.1371/journal.pone.0079556openalex-snapshot
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inferredcites →https://doi.org/10.1371/journal.ppat.1002015openalex-snapshot
Plasmodium knowlesi: Reservoir Hosts and Tracking the Emergence in Humans and Macaques
inferredcites →https://doi.org/10.4081/gh.2011.167openalex-snapshot
The use of remotely sensed environmental data in the study of malaria
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inferredcites →https://doi.org/10.4269/ajtmh.2007.76.450openalex-snapshot
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Capturing vertical profiles of aerosols and black carbon over the Indian Ocean using autonomous unmanned aerial vehicles
What points at this work
Incoming claims: where this work appears in other papers’ reference lists and arguments.
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Unmanned Aerial Vehicle Classification, Applications and Challenges: A Review
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Application of satellite imagery for vector-borne disease monitoring in sub-Saharan Africa: An overview
inferred← citeshttps://doi.org/10.30574/wjarr.2024.21.3.0976openalex-snapshot
Use of drone technology in animal health and management
inferred← citeshttps://doi.org/10.30880/jtmb.2021.08.01.003openalex-snapshot
The Challenges of Drone Application in the Construction Industry
inferred← citeshttps://doi.org/10.31413/nativa.v9i4.12094openalex-snapshot
IDENTIFICAÇÃO DE SÍTIOS DE REPRODUÇÃO DE AEDES AEGYPTI COM AERONAVE REMOTAMENTE PILOTADA (ARP)
inferred← citeshttps://doi.org/10.3390/drones3010010openalex-snapshot
Drones for Conservation in Protected Areas: Present and Future
inferred← citeshttps://doi.org/10.3390/drones4030044openalex-snapshot
Context-Specific Challenges, Opportunities, and Ethics of Drones for Healthcare Delivery in the Eyes of Program Managers and Field Staff: A Multi-Site Qualitative Study
inferred← citeshttps://doi.org/10.3390/drones6070180openalex-snapshot
Drones for Area-Wide Larval Source Management of Malaria Mosquitoes
inferred← citeshttps://doi.org/10.3390/drones7090581openalex-snapshot
Mapping the Urban Environments of Aedes aegypti Using Drone Technology
inferred← citeshttps://doi.org/10.3390/ijerph22071015openalex-snapshot
Digital Health and Primary Health Care Quality: A Survey Case Study
inferred← citeshttps://doi.org/10.3390/ijgi6060157openalex-snapshot
Extraction of Terraces on the Loess Plateau from High-Resolution DEMs and Imagery Utilizing Object-Based Image Analysis
inferred← citeshttps://doi.org/10.3390/ijgi9090557openalex-snapshot
The Spatial Dimension of COVID-19: The Potential of Earth Observation Data in Support of Slum Communities with Evidence from Brazil
inferred← citeshttps://doi.org/10.3390/machines10121161openalex-snapshot
Use of Unmanned Aerial Vehicles for Building a House Risk Index of Mosquito-Borne Viral Diseases
inferred← citeshttps://doi.org/10.3390/robotics9040091openalex-snapshot
Identifying Potential Mosquito Breeding Grounds: Assessing the Efficiency of UAV Technology in Public Health
inferred← citeshttps://doi.org/10.3390/rs14020317openalex-snapshot
Improved Use of Drone Imagery for Malaria Vector Control through Technology-Assisted Digitizing (TAD)
inferred← citeshttps://doi.org/10.3390/rs14051239openalex-snapshot
Unmanned Aerial Vehicle (UAV)-Based Remote Sensing for Early-Stage Detection of Ganoderma
inferred← citeshttps://doi.org/10.3390/rs15112775openalex-snapshot
Mapping Malaria Vector Habitats in West Africa: Drone Imagery and Deep Learning Analysis for Targeted Vector Surveillance
inferred← citeshttps://doi.org/10.3390/s18072132openalex-snapshot
Optimal Polygon Decomposition for UAV Survey Coverage Path Planning in Wind
inferred← citeshttps://doi.org/10.35116/aa.2022.0027openalex-snapshot
Concept of the Mobile Monitoring System
inferred← citeshttps://doi.org/10.35885/1684-7318-2021-1-3-15openalex-snapshot
Ecological aspects of zoning the territory of the Saratov region by the risk level of formation of West Nile fever foci
inferred← citeshttps://doi.org/10.36227/techrxiv.11086871openalex-snapshot
Modeling the Temporal Population Distribution of Ae. aegypti Mosquito using Big Earth Observation Data.
inferred← citeshttps://doi.org/10.4000/books.ifea.13235openalex-snapshot
Capítulo 30. Drones y Arqueología Vuelos e imágenes
inferred← citeshttps://doi.org/10.4103/jfmpc.jfmpc_413_18openalex-snapshot
Unmanned aerial vehicle (drones) in public health: A SWOT analysis
inferred← citeshttps://doi.org/10.4103/jme.jme_66_24openalex-snapshot
Integrating Drones in India’s Healthcare System: Opportunities and Challenges
inferred← citeshttps://doi.org/10.4103/mjdrdypu.mjdrdypu_525_25openalex-snapshot
Harnessing Technology for Vector-Borne Disease Control in Desert Terrain: Experiences from a Frontier Station
inferred← citeshttps://doi.org/10.4103/sja.sja_506_23openalex-snapshot
Drone a technological leap in health care delivery in distant and remote inaccessible areas: A narrative review
inferred← citeshttps://doi.org/10.4108/eai.5-10-2020.166545openalex-snapshot
Risk Assessment Model: Roadmap to Develop Kolkata into a Smart City
inferred← citeshttps://doi.org/10.4293/jsls.2018.00018openalex-snapshot
Surgical and Medical Applications of Drones: A Comprehensive Review
inferred← citeshttps://doi.org/10.4336/2018.pfb.38e201801706openalex-snapshot
Estimativa do material combustível em área de Cerrado campo sujo a partir de imagens do sensor RGB
inferred← citeshttps://doi.org/10.47836/ac.17.1.paper06openalex-snapshot
A CONCEPTUAL FRAMEWORK FOR ASSESSING THE FIELD EFFICIENCY OF DRONES IN IDENTIFYING POTENTIAL BREEDING SITES OF THE Aedes MOSQUITO
inferred← citeshttps://doi.org/10.48550/arxiv.2102.00969openalex-snapshot
Blockchain for Decentralized Multi-Drone to Combat COVID-19
inferred← citeshttps://doi.org/10.48550/arxiv.2109.00355openalex-snapshot
The development of an educational software for aircraft flight mechanics calculations
inferred← citeshttps://doi.org/10.5194/isprs-annals-x-4-w1-2022-25-2023openalex-snapshot
CONVOLUTIONAL SVM NETWORKS FOR DETECTION OF GANODERMA BONINENSE AT EARLY STAGE IN OIL PALM USING UAV AND MULTISPECTRAL PLEIADES IMAGES
inferred← citeshttps://doi.org/10.52417/ojmr.v2i1.187openalex-snapshot
IMPORTANCE OF DRONES IN HEALTHCARE DELIVERY AMID A PANDEMIC: CURRENT AND GENERATION NEXT APPLICATION
inferred← citeshttps://doi.org/10.5281/zenodo.5539753openalex-snapshot
UAS (drone) Arctic Challenges - Next Steps
inferred← citeshttps://doi.org/10.55463/issn.1674-2974.49.7.11openalex-snapshot
Unmanned Aerial Vehicles: A Literature Review
inferred← citeshttps://doi.org/10.6084/m9.figshare.12870266openalex-snapshot
Additional file 1 of A dashboard for monitoring preventive measures in response to COVID-19 outbreak in the Democratic Republic of Congo
inferred← citeshttps://doi.org/10.6084/m9.figshare.14926951openalex-snapshot
Additional file 1 of The seasonal dynamics and biting behavior of potential Anopheles vectors of Plasmodium knowlesi in Palawan, Philippines
inferred← citeshttps://doi.org/10.6084/m9.figshare.14926954openalex-snapshot
Additional file 2 of The seasonal dynamics and biting behavior of potential Anopheles vectors of Plasmodium knowlesi in Palawan, Philippines
inferred← citeshttps://doi.org/10.6084/m9.figshare.14926960openalex-snapshot
Additional file 3 of The seasonal dynamics and biting behavior of potential Anopheles vectors of Plasmodium knowlesi in Palawan, Philippines
inferred← citeshttps://doi.org/10.6084/m9.figshare.14926963openalex-snapshot
Additional file 4 of The seasonal dynamics and biting behavior of potential Anopheles vectors of Plasmodium knowlesi in Palawan, Philippines
inferred← citeshttps://doi.org/10.6084/m9.figshare.14926966openalex-snapshot
Additional file 5 of The seasonal dynamics and biting behavior of potential Anopheles vectors of Plasmodium knowlesi in Palawan, Philippines
inferred← citeshttps://doi.org/10.6084/m9.figshare.25857546openalex-snapshot
Additional file 1 of Using image segmentation models to analyse high-resolution earth observation data: new tools to monitor disease risks in changing environments
inferred← citeshttps://doi.org/10.6084/m9.figshare.26555258openalex-snapshot
Additional file 1 of The use of drones for mosquito surveillance and control
inferred← citeshttps://doi.org/10.6084/m9.figshare.26620177openalex-snapshot
Additional file 1 of Cost and quality of operational larviciding using drones and smartphone technology
inferred← citeshttps://doi.org/10.6084/m9.figshare.26620180openalex-snapshot
Additional file 2 of Cost and quality of operational larviciding using drones and smartphone technology
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