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

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Version 2 2024-06-05, 04:14
Version 1 2021-01-13, 12:11
journal contribution
posted on 2024-06-05, 04:14 authored by SM Abu Adnan Abir, Shama IslamShama Islam, Adnan AnwarAdnan Anwar, Abdun Naser Mahmood, Aman Maung Than Oo
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.

History

Journal

IoT

Volume

1

Pagination

506-528

Location

Basel, Switzerland

Open access

  • Yes

eISSN

2624-831X

Language

eng

Publication classification

C1 Refereed article in a scholarly journal

Issue

2

Publisher

MDPI AG

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