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Part of the book series: Studies in Computational Intelligence ((SCI,volume 924))

Abstract

Background: Coronavirus is a family of viruses, and they are named coronavirus based on the crown-like spikes they have on their surface. The word “Corona” is a Latin word that means “crown.” Recently a virus of the corona family emerged in Wuhan, Hubei, China. On December 31, China informed WHO about some patients having unidentified pneumonia. It was initially named novel coronavirus because of its uniqueness. But later the coronavirus study group of the International Committee on Taxonomy of Viruses designated it as severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2). SARS-CoV-2 has affected the entire world, infected more than a million people till now, and claimed more than 235,288 lives so far.

Objective: This study aimed to present a case study of the recent research related to the coronavirus and proposed technology related to coronavirus. Its focus is on how infections can be caught as early as possible and what control measure should be taken to stop the virus from further spreading. Only scientific and mathematical models have been considered.

Method: This study refers to the WHO website for credible information regarding the coronavirus. Many research papers and medical articles were studied before proceeding with this paper. The methodology proposed by the researchers has been mentioned in this paper.

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Correspondence to Sagar Pande .

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Bhatt, T., Kumar, V., Pande, S., Malik, R., Khamparia, A., Gupta, D. (2021). A Review on COVID-19. In: Al-Turjman, F. (eds) Artificial Intelligence and Machine Learning for COVID-19. Studies in Computational Intelligence, vol 924. Springer, Cham. https://doi.org/10.1007/978-3-030-60188-1_2

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  • DOI: https://doi.org/10.1007/978-3-030-60188-1_2

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