Abstract
Coronavirus 2019 (COVID-19) is a global pandemic, which has placed a significant challenge on the earth for health, climate, and human life. A critical study of the most used protocols to help physicians establish a reliable diagnosis, prevention, and treatment protocols are among the top targets for controlling and tracking COVID-19. Individuals disregard the necessary safeguards and engage in various misbehavior, such as socializing with others or leaving during holidays. This novel coronavirus has infected the earth with a disabled person of trade, hygiene, and other aspects of life. Treatment protocols differ by country, and there is currently no approved treatment. Therefore, the discovery of drugs to treat COVID-19 is critical. This paper presents a comprehensive analysis of COVID-19 with a wide range of viewpoints, such as related factors to COVID-19 as clinical characteristics, comorbidities (obesity, cardiovascular diseases), maternal and fetal, children, mental health, smoking, supply chain disciplines, vaccines, and therapeutics. Also, a comparison between the first wave of pandemic and the second wave is presented. Besides, the role of technologies in fighting against COVID-19 and the function of artificial intelligence, deep learning, and medical images for the analysis of pandemics are discussed in this paper. Finally, our survey results and comparison between it and other surveys are also illustrated at the end of the paper.
Original language | English |
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Title of host publication | IET Conference Proceedings |
Publisher | Institution of Engineering and Technology |
Pages | 232-246 |
Number of pages | 15 |
Volume | 2021 |
Edition | 8 |
ISBN (Electronic) | 9781839536847 |
DOIs | |
State | Published - 2021 |
Externally published | Yes |
Event | 2nd International Conference on Distributed Sensing and Intelligent Systems, ICDSIS 2021 - Virtual, Online Duration: 30 Jul 2021 → 31 Jul 2021 |
Conference
Conference | 2nd International Conference on Distributed Sensing and Intelligent Systems, ICDSIS 2021 |
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City | Virtual, Online |
Period | 30/07/21 → 31/07/21 |
Keywords
- Artificial Intelligence
- COVID-19
- Deep Learning
- l wave & 2 wave