Abstract
The Corona Virus Disease 2019 (COVID-19) is an infectious disease caused by a newly discovered corona virus SARS-CoV-2. It is similar to the flu and raises concerns about the alarming levels of spread and severity, resulting in a continuous pandemic worldwide. In eight months, it infected 90 million people worldwide and more than 2 million died. Unmanned Aerial Vehicles (UAVs) can be very useful in supporting logistical support for the COVID-19 pandemic. This work aims to investigate UAV-based applications for logistical support to situations caused by the COVID-19 pandemic and proposes an architecture to deal with pandemic situations in different scenarios using real-time case studies.
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Dantas, A.J. et al. (2021). Using UAV, IoMT and AI for Monitoring and Supplying of COVID-19 Patients. In: Latifi, S. (eds) ITNG 2021 18th International Conference on Information Technology-New Generations. Advances in Intelligent Systems and Computing, vol 1346. Springer, Cham. https://doi.org/10.1007/978-3-030-70416-2_49
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DOI: https://doi.org/10.1007/978-3-030-70416-2_49
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