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Machine Learning in Fighting Pandemics: A COVID-19 Case Study

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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

In today’s digitised world, machine learning (ML) has been playing a very important role in identifying patterns from the ever-growing amount of data made available by the devices and sensors used in the day-to-day activities. Applications of ML have enriched many fields directly connected to our daily lives including education, finance, governance, healthcare, security and surveillance, etc. Its applications can also be extended in facilitating the management of pandemics, especially when the world is experiencing an unprecedented pandemic caused by the novel coronavirus disease (COVID-19). This chapter aims to provide an account of how ML can be utilised in fighting pandemics in general, with a focus on the COVID-19.

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Author information

Authors and Affiliations

  1. Department of Computer Science, Nottingham Trent University, Clifton Lane, Nottingham, NG11 8NS, UK

    Mufti Mahmud

  2. Institute of Information Technology, Jahangirnagar University, Savar, Dhaka, 1342, Bangladesh

    M. Shamim Kaiser

Authors
  1. Mufti Mahmud
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  2. M. Shamim Kaiser
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Corresponding author

Correspondence to Mufti Mahmud .

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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Mahmud, M., Kaiser, M.S. (2021). Machine Learning in Fighting Pandemics: A COVID-19 Case Study. 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_9

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