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COVID-19: A Necessity for Changes and Innovations

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COVID-19: Prediction, Decision-Making, and its Impacts

Part of the book series: Lecture Notes on Data Engineering and Communications Technologies ((LNDECT,volume 60))

Abstract

The issue of COVID-19 surfaced in late December of 2019. Since then, it is a global threat. One of the major attributes of COVID-19 is the highly infectious nature of the virus. Researchers have been trying to find ways to cure or at least prevent additional spreading. In the literature, we observe developments toward COVID-19 positive case detection with the use of artificial intelligence-driven tools (Santosh in J Med Syst 44:93 [1]). As multitudinal and multimodal data can make a difference in decision-making, there has recently been a trend to put together several datasets of varied sizes over time. Besides, COVID-19 has socio-economic impact across the World. In this chapter, we provide a quick understanding of COVID-19 from both technical innovations (AI-driven tools for prediction and detection) and socio-economic issues. In other words, challenges, innovations and opportunities are discussed in this chapter.

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Notes

  1. 1.

    https://www.who.int/docs/default-source/coronaviruse/who-china-joint-mission-on-covid-19-final-report.pdf.

  2. 2.

    Novel coronavirus—China. https://www.who.int/csr/don/12-january-2020-novel-coronavirus-china/en/ Date: Jan 12, 2020.

  3. 3.

    Summary of probable SARS cases with onset of illness from 1 November 2002 to 31 July2003. https://www.who.int/csr/sars/country/table2004_04_21/en/.

  4. 4.

    Middle East respiratory syndrome coronavirus (MERS-CoV). https://www.who.int/emergencies/mers-cov/en/.

  5. 5.

    https://www.who.int/emergencies/diseases/novel-coronavirus-2019/situation-reports.

  6. 6.

    https://coronavirus.jhu.edu/map.html.

  7. 7.

    https://www.cdc.gov/coronavirus/2019-ncov/cases-updates/cases-in-us.html.

  8. 8.

    https://www.ecdc.europa.eu/en/geographical-distribution-2019-ncov-cases.

  9. 9.

    https://covid19.who.int/.

  10. 10.

    https://www.kaggle.com/sudalairajkumar/novel-corona-virus-2019-dataset.

  11. 11.

    https://ourworldindata.org/coronavirus-testing.

  12. 12.

    https://www.kaggle.com/allen-institute-for-ai/CORD-19-research-challenge.

  13. 13.

    https://github.com/ieee8023/covid-chestxray-dataset.

  14. 14.

    https://github.com/UCSD-AI4H/COVID-CT.

References

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Author information

Authors and Affiliations

  1. Department of Computer Science, West Bengal State University, Kolkata, India

    Himadri Mukherjee, Ankita Dhar & Kaushik Roy

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

    Sk. Md. Obaidullah

  3. Department of Computer Science, The University of South Dakota, Vermillion, SD, USA

    K. C. Santosh

Authors
  1. Himadri Mukherjee
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  2. Ankita Dhar
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  3. Sk. Md. Obaidullah
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  4. K. C. Santosh
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  5. Kaushik Roy
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Corresponding author

Correspondence to Himadri Mukherjee .

Editor information

Editors and Affiliations

  1. The University of South Dakota, Vermillion, SD, USA

    K.C. Santosh

  2. Global Knowledge Research Foundation, Ahmedabad, India

    Amit Joshi

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Mukherjee, H., Dhar, A., Obaidullah, S.M., Santosh, K.C., Roy, K. (2021). COVID-19: A Necessity for Changes and Innovations. In: Santosh, K., Joshi, A. (eds) COVID-19: Prediction, Decision-Making, and its Impacts. Lecture Notes on Data Engineering and Communications Technologies, vol 60. Springer, Singapore. https://doi.org/10.1007/978-981-15-9682-7_11

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