The Power of Computational Intelligence Methods in the Containment of COVID-19 Pandemic from Detection to Recovery

Autor: Abdullahi Isa, Barka Piyinkir Ndahi
Jazyk: angličtina
Rok vydání: 2021
Předmět:
Zdroj: Current Perspectives on Viral Disease Outbreaks-Epidemiology, Detection and Control
Popis: The coronavirus disease (SARS-CoV-2) pandemic has caused unprecedented economic crises, and changes in our lifestyle to different things that we have not experienced before in this century, which cause by movement restriction order by the authority to halt the spread of the disease around the globe. Researchers around the globe applied computational intelligence methods in numerous fields which exhibits a successful story. The computational intelligence methods play an important role in dealing with coronavirus pandemics. This research will focus on the use of computational intelligence methods in understanding the infection, accelerating drugs and treatments research, detecting, diagnosis, and predicting the virus, surveillance, and contact tracing to prevent or slow the virus from the spread, monitoring the recovery of the infected individuals. This study points out promising CI techniques utilized as an adjunct along with the current methods used in containments of COVID-19. It is imagined that this study will give CI researchers and the wider community an outline of the current status of CI applications and motivate CI researchers in harnessing CI technique possibilities in the battle against COVID-19.
Databáze: OpenAIRE