Emergency Medical Services Using Drone Operations in Natural Disaster and Pandemics

Anand, Rohit; Muneshwara, M S; Shivakumara, T.; Swetha, M.; Anil, G. N.

doi:10.1007/978-981-16-5529-6_19

Cited by 3 publications

(2 citation statements)

References 24 publications

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“…This area of research explored how UAVs could be deployed to support healthcare systems during pandemics, focusing on delivering medical supplies, vaccines, and testing kits [64][65][66][67]. The studies also examined the development and application of UAV technology in pandemic situations, assessing its role in enhancing the resilience and responsiveness of healthcare systems [68][69][70]. Research also delved into integrating emerging technologies, such as artificial intelligence, the Internet of Things (IoT), and blockchain, to improve the management and distribution of medical resources during health crises [71,72].…”

Section: Drone Delivery Of Non-time Critical Medical Itemsmentioning

confidence: 99%

Emerging Research Topics in Drone Healthcare Delivery

Campbell,

Bosiocic,

Hvala

et al. 2024

Drones

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The application of drones to assist with healthcare delivery has grown rapidly over the last decade. This industry is supported by a growing research field, and we have undertaken a systematic review of the published literature. Web-based searches returned 290 relevant manuscripts published between 2010 and 2024. We applied Topic Modelling to this corpus of literature, which examines word association and connectedness within the research papers. The modelling identified two emerging research themes with little connection between them: those who used drones to deliver time-critical medical items and those who used drones to deliver non-time-critical medical items. The former was in response to medical emergencies, while the latter was for enhancing resilience in the healthcare supply chain. The topics within these research themes exhibited notable differences. The delivery of time-critical medical items theme comprised the topics of ‘Emergency Response’, ‘Defibrillator and Organ Delivery’, and ‘Search and Rescue’, whilst non-time-critical delivery researched the topics of ‘Supply Chain Optimisation’ and ‘Cost-Effectiveness’, ‘Overcoming Remoteness’, and ‘Pandemic Response’. Research on ‘Engineering and Design Considerations’ and ‘Ethical and Social Considerations’ cut across both research themes. We undertook further analysis to assess research topic alignment and identify knowledge gaps. We found that efforts are needed to establish a more standardised terminology for better alignment across the two emerging research themes. Future studies should focus on evaluating the impact of drone delivery on patient health using systematic methods. Additionally, exploring the economic viability of drone-based health services and addressing regulatory barriers are crucial for efficient and effective drone deployment in healthcare delivery systems.

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Section: Drone Delivery Of Non-time Critical Medical Itemsmentioning

confidence: 99%

Emerging Research Topics in Drone Healthcare Delivery

Campbell,

Bosiocic,

Hvala

et al. 2024

Drones

View full text Add to dashboard Cite

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“…In the COVID situation, the UAV application can be utilized a lot to reduce the COVID risk by avoiding crowds in public places [10]. So, the crowd was formed to get the needed thing for people's survival.…”

Section: Introductionmentioning

confidence: 99%

Unmanned Aerial Vehicle Design for Smart City Application

Doraswamy,

Giriprasad,

Krishna

2023

IJRITCC

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Nowadays, Unmanned Aerial Vehicles (UAVs) or drones are also one of the applications to provide the required services and to gather information from the target location. Because smart city applications effectively deal the drone interaction and enhance the human lifestyle with drones. Moreover, UAVs are generally utilized due to their privacy threats, lower cost, pose security, and versatility, which request dependable detection at lower altitudes. However, the less sensing module in the drone has earned the low sensing accuracy of location tracking. So, this paper aims to develop a novel Firefly-based Recurrent Neural Mechanism (FRNM) to enrich the sensing capacity of the drone vehicle. In addition, the sound of the research is medicine delivery through UAVs in emergencies. This UAV system is one of the most crucial features to delivering essential medical items aids by reaching properly correspondent patients. Moreover, the client's needs are stored in the FRNM cloud then that stored data is trained to the UAV machine. Hereafter, based on the trained details, the drone can reach the destination and has delivered the requested medicine to the specific clients. The planned design is drawn in Network Simulator (NS2) environment, and the robustness of the projected replica is valued by calculating the chief parameters. Hereafter, the improvement score was valued by the comparison assessment. Hence, the FRNM has reported the finest performance by earning less location finding duration, running period, and error rate.

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