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Building resilience against COVID-19 pandemic using artificial intelligence, machine learning, and IoT: a survey of recent progress

Abir, SM Abu Adnan, Islam, Shama Naz, Anwar, Adnan, Mahmood, Abdun Naser and Oo, Amanullah Maung Than 2020, Building resilience against COVID-19 pandemic using artificial intelligence, machine learning, and IoT: a survey of recent progress, IoT, vol. 1, no. 2, pp. 506-528, doi: 10.3390/iot1020028.

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Title Building resilience against COVID-19 pandemic using artificial intelligence, machine learning, and IoT: a survey of recent progress
Author(s) Abir, SM Abu Adnan
Islam, Shama NazORCID iD for Islam, Shama Naz orcid.org/0000-0002-2354-7960
Anwar, AdnanORCID iD for Anwar, Adnan orcid.org/0000-0003-3916-1381
Mahmood, Abdun Naser
Oo, Amanullah Maung ThanORCID iD for Oo, Amanullah Maung Than orcid.org/0000-0002-6914-2272
Journal name IoT
Volume number 1
Issue number 2
Start page 506
End page 528
Total pages 23
Publisher MDPI AG
Place of publication Basel, Switzerland
Publication date 2020-12
ISSN 2624-831X
Keyword(s) COVID-19
coronavirus
machine learning
artificial intelligence
Internet of Things
Summary Coronavirus disease 2019 (COVID-19) has significantly impacted the entire world today and stalled off regular human activities in such an unprecedented way that it will have an unforgettable footprint on the history of mankind. Different countries have adopted numerous measures to build resilience against this life-threatening disease. However, the highly contagious nature of this pandemic has challenged the traditional healthcare and treatment practices. Thus, artificial intelligence (AI) and machine learning (ML) open up new mechanisms for effective healthcare during this pandemic. AI and ML can be useful for medicine development, designing efficient diagnosis strategies and producing predictions of the disease spread. These applications are highly dependent on real-time monitoring of the patients and effective coordination of the information, where the Internet of Things (IoT) plays a key role. IoT can also help with applications such as automated drug delivery, responding to patient queries, and tracking the causes of disease spread. This paper represents a comprehensive analysis of the potential AI, ML, and IoT technologies for defending against the COVID-19 pandemic. The existing and potential applications of AI, ML, and IoT, along with a detailed analysis of the enabling tools and techniques are outlined. A critical discussion on the risks and limitations of the aforementioned technologies are also included.
Language eng
DOI 10.3390/iot1020028
Indigenous content off
HERDC Research category C1 Refereed article in a scholarly journal
Free to Read? Yes
Persistent URL http://hdl.handle.net/10536/DRO/DU:30147058

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Every reasonable effort has been made to ensure that permission has been obtained for items included in DRO. If you believe that your rights have been infringed by this repository, please contact drosupport@deakin.edu.au.