Review Article
AIoT Used for COVID-19 Pandemic Prevention and Control
Table 2
Methods and results of remote screening mentioned.
| Authors | Methods | Results | Features |
| Schinköthe et al. [7] | The cockpit (C19CC) | Identifying telemedicine options, which can quickly improve patient care | Improving care and safety for people with COVID-19 | Tan and Liu [8] | Facial recognition system using thermal imaging | Ability to identify and track patients | Helping to control the spread of COVID-19 | Hou et al. [10] | Portable scanner + subspace multilayer networks | Achieving test data accuracy of more than 96% | Improving energy efficiency | Mulchandani et al. [11] | The one-shot learning framework based on the Siamese network | Diagnosing coronavirus from tonsillitis effectively for mass-screening | Used to detect susceptible patients at a very early stage | Chilipirea et al. [12] | Scalable COVID-19 screening platform | Ability to collect and analyze data for more than 200,000 people per minute | The main feature being the use of distributed, lightweight design | Lonini et al. [4] | Use of soft wearable devices | Rapid screening for COVID-19 | Reducing the risk of pneumonia among healthcare workers |
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