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Blockchain and Artificial Intelligence Applications to Defeat COVID-19 Pandemic.
- Source :
- Computer Systems Science & Engineering; 2022, Vol. 40 Issue 2, p691-702, 12p
- Publication Year :
- 2022
-
Abstract
- The rapid emergence of novel virus named SARS-CoV2 and unchecked dissemination of this virus around the world ever since its outbreak in 2020, provide critical research criteria to assess the vulnerabilities of our current health system. The paper addresses our preparedness for the management of such acute health emergencies and the need to enhance awareness, about public health and healthcare mechanisms. In view of this unprecedented health crisis, distributed ledger and AI technology can be seen as one of the promising alternatives for fighting against such epidemics at the early stages, and with the higher efficacy. At the implementation level, blockchain integration, early detection and avoidance of an outbreak, identity protection and safety, and a secure drug supply chain can be realized. At the opposite end of the continuum, artificial intelligence methods are used to detect corona effects until they become too serious, avoiding costly drug processing. The paper explores the application of blockchain and artificial intelligence in order to fight with COVID-19 epidemic scenarios. This paper analyzes all possible newly emerging cases that are employing these two technologies for combating a pandemic like COVID-19 along with major challenges which cover all technological and motivational factors. This paper has also discusses the potential challenges and whether further production is required to establish a health monitoring system. [ABSTRACT FROM AUTHOR]
- Subjects :
- BLOCKCHAINS
ARTIFICIAL intelligence
COVID-19 pandemic
PUBLIC health
MACHINE learning
Subjects
Details
- Language :
- English
- ISSN :
- 02676192
- Volume :
- 40
- Issue :
- 2
- Database :
- Complementary Index
- Journal :
- Computer Systems Science & Engineering
- Publication Type :
- Academic Journal
- Accession number :
- 161543585
- Full Text :
- https://doi.org/10.32604/csse.2022.019079