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Impacts of COVID-19: A Comprehensive Study Using Linear Regression Analysis in a Predictive Approach

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Computational Advancement in Communication, Circuits and Systems

Part of the book series: Lecture Notes in Electrical Engineering ((LNEE,volume 786))

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Abstract

Human history is observing a very strange time fighting an invisible enemy; the novel COVID-19 is the greatest challenge to humankind since the Second World War. The current outbreak of COVID-19 coronavirus infection among humans in Wuhan (China) and its spreading around the globe is heavily impacting global health and mental health. Novel coronavirus (n-CoV) is a generic name given to severe acute respiratory syndrome coronavirus 2(SARs-CoV-2). It has rapidly spread around the world posing enormous mental, social, economic, and environmental challenges to the entire human population. This paper evolved from an overview of the coronavirus and its effect on public health and economics. The main focus of this paper is to survey the various species and types of COVs. The overall statistics of the count around the world and an inclusive survey of its impact on society is being discussed in this paper. In this paper, the linear regression analysis of different vaccines commissioned around the world in COVID-19 and manifold updated information across India has been analyzed in a statistical approach.

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Author information

Authors and Affiliations

  1. Department of Information Technology, Narula Institute of Technology, Kolkata, W.B., 700109, India

    Shreyashree Mondal, Soumya Bhattacharyya, Sujata Kundu, Shyamapriya Chowdhury & Neha Dey

  2. Department of Electronics and Communication, Narula Institute of Technology, Kolkata, W.B., 700109, India

    Puspak Pain & Ankush Baran Basu

Authors
  1. Shreyashree Mondal
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  2. Soumya Bhattacharyya
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  3. Puspak Pain
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  4. Sujata Kundu
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  5. Shyamapriya Chowdhury
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  6. Neha Dey
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  7. Ankush Baran Basu
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Corresponding author

Correspondence to Shyamapriya Chowdhury .

Editor information

Editors and Affiliations

  1. Department of Electronics and Telecommunication, IIEST Shibpur, Howrah, India

    M. Mitra

  2. Department of Computer Science and Engineering, Jadavpur University, Kolkata, India

    Mita Nasipuri

  3. Narula Institute of Technology, Kolkata, India

    Maitreyi Ray Kanjilal

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© 2022 The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.

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Mondal, S. et al. (2022). Impacts of COVID-19: A Comprehensive Study Using Linear Regression Analysis in a Predictive Approach. In: Mitra, M., Nasipuri, M., Kanjilal, M.R. (eds) Computational Advancement in Communication, Circuits and Systems. Lecture Notes in Electrical Engineering, vol 786. Springer, Singapore. https://doi.org/10.1007/978-981-16-4035-3_32

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  • DOI: https://doi.org/10.1007/978-981-16-4035-3_32

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  • Publisher Name: Springer, Singapore

  • Print ISBN: 978-981-16-4034-6

  • Online ISBN: 978-981-16-4035-3

  • eBook Packages: EngineeringEngineering (R0)

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