Role of Drone Technology Helping in Alleviating the COVID-19 Pandemic.
Syed Agha Hassnain MohsanQurat Ul Ain ZahraMuhammad Asghar KhanMohammed H AlsharifIsmail A ElhatyAbu JahidPublished in: Micromachines (2022)
The COVID-19 pandemic, caused by a new coronavirus, has affected economic and social standards as governments and healthcare regulatory agencies throughout the world expressed worry and explored harsh preventative measures to counteract the disease's spread and intensity. Several academics and experts are primarily concerned with halting the continuous spread of the unique virus. Social separation, the closing of borders, the avoidance of big gatherings, contactless transit, and quarantine are important methods. Multiple nations employ autonomous, digital, wireless, and other promising technologies to tackle this coronary pneumonia. This research examines a number of potential technologies, including unmanned aerial vehicles (UAVs), artificial intelligence (AI), blockchain, deep learning (DL), the Internet of Things (IoT), edge computing, and virtual reality (VR), in an effort to mitigate the danger of COVID-19. Due to their ability to transport food and medical supplies to a specific location, UAVs are currently being utilized as an innovative method to combat this illness. This research intends to examine the possibilities of UAVs in the context of the COVID-19 pandemic from several angles. UAVs offer intriguing options for delivering medical supplies, spraying disinfectants, broadcasting communications, conducting surveillance, inspecting, and screening patients for infection. This article examines the use of drones in healthcare as well as the advantages and disadvantages of strict adoption. Finally, challenges, opportunities, and future work are discussed to assist in adopting drone technology to tackle COVID-19-like diseases.
Keyphrases
- healthcare
- artificial intelligence
- deep learning
- virtual reality
- sars cov
- big data
- coronavirus disease
- machine learning
- end stage renal disease
- chronic kidney disease
- mental health
- coronary artery disease
- health information
- newly diagnosed
- respiratory syndrome coronavirus
- ejection fraction
- coronary artery
- public health
- convolutional neural network
- intensive care unit
- peritoneal dialysis
- transcription factor
- heart failure
- climate change
- aortic stenosis
- patient reported outcomes
- mechanical ventilation
- respiratory failure