Role-Framework of Artificial Intelligence in Combating the COVID-19 Pandemic

Autor: Mohammad Shorif Uddin, Sumaita Binte Shorif, Aditi Sarker
Rok vydání: 2021
Předmět:
Zdroj: Vision, Sensing and Analytics: Integrative Approaches ISBN: 9783030754891
DOI: 10.1007/978-3-030-75490-7_13
Popis: COVID-19 caused by the SARS-CoV-2 (Corona) virus, first detected in China in December 2019 is now a worldwide pandemic due to its rapid spreading. People all over the world are fighting against it to combat the pandemic. Maintaining social aloofness and lockdowns can prevent the infection of COVID-19 but if this situation continues then the whole world must be confronted with economic catastrophe. Technology governed by artificial intelligence (AI) is a promising logistic that confirms its effectiveness for the benefits in different sectors like spread prediction, population screening, social awareness, hospital management, healthcare logistics, vaccine and drug delivery, surveillance and tracking, continuation of education and industrial production, etc. This article describes a framework of the role of AI in combating the effects of COVID-19 pandemic in dividing into nine sectors: i) Early trace-out, detection and diagnosis, ii) Disease surveillance, control, awareness build-up, and disease prevention, iii) Monitoring the treatment and predicting the risk of developing severe cases, iv) Screening and helping patients through chatbots, v) Service management through intelligence drones and robots, vi) Management of stress and the spread of rumors through social networks, vii) Understanding the virus through analysis of protein–protein interactions, viii) Speeding up the vaccine and drug discoveries and development, ix) Continuation of education and prediction of economic loss. In addition, an overview of commercialization of the AI strategies by highlighting some success stories is presented.
Databáze: OpenAIRE