Abstract
The early detection and diagnosis of novel coronavirus disease 2019 (COVID-19) are required to cure the disease. Metaheuristic techniques can be used to develop an automated tool for detecting the symptoms of an infected person and provide appropriate precautionary measures. The metaheuristic-based software can be designed to analyze the radiographic patterns of infected individuals and determine the severity of COVID-19 infection. The genome structure of coronavirus can be easily understood through metaheuristic techniques. Based on the genome structure, an effective drug combination can be explored by using metaheuristics for the treatment of COVID-19.
Keywords: COVID-19, metaheuristic, diagnosis, drug design, social implication, epidemic.
Coronaviruses
Title:Impact of Metaheuristic Techniques in Pandemic of COVID-19
Volume: 2 Issue: 8
Author(s): Vijay Kumar*, Dilbag Singh and Manjit Kaur
Affiliation:
- Computer Science and Engineering Department, National Institute of Technology, Hamirpur, Himachal Pradesh-177005,India
Keywords: COVID-19, metaheuristic, diagnosis, drug design, social implication, epidemic.
Abstract: The early detection and diagnosis of novel coronavirus disease 2019 (COVID-19) are required to cure the disease. Metaheuristic techniques can be used to develop an automated tool for detecting the symptoms of an infected person and provide appropriate precautionary measures. The metaheuristic-based software can be designed to analyze the radiographic patterns of infected individuals and determine the severity of COVID-19 infection. The genome structure of coronavirus can be easily understood through metaheuristic techniques. Based on the genome structure, an effective drug combination can be explored by using metaheuristics for the treatment of COVID-19.
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Cite this article as:
Kumar Vijay *, Singh Dilbag and Kaur Manjit , Impact of Metaheuristic Techniques in Pandemic of COVID-19, Coronaviruses 2021; 2 (8) : e260721189257 . https://dx.doi.org/10.2174/2666796701999201218142021
DOI https://dx.doi.org/10.2174/2666796701999201218142021 |
Print ISSN 2666-7967 |
Publisher Name Bentham Science Publisher |
Online ISSN 2666-7975 |
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