Abstract

The COVID-19 pandemic came with disruptions in every aspect of human existence, with all the sectors of the economies of the world affected greatly. In the health sector, the pandemic halted and reversed progress in health and subsequently shortened life expectancy, especially in developing and underdeveloped nations. On the other hand, machine learning and artificial intelligence contributed a great deal to the handling of the pandemic globally. Therefore, the current study aimed to assess the role played by artificial intelligence and machine learning in addressing the dangers posed by the COVID-19 pandemic, as well as extrapolate the lessons on the fourth industrial revolution and sustainable development goals. Using qualitative content analysis, the results indicated that artificial intelligence and machine learning played an important role in the response to the challenges posed by the COVID-19 pandemic. Artificial intelligence, machine learning, and various digital communication tools through telehealth performed meaningful roles in scaling customer communications, provided a platform for understanding how COVID-19 spreads, and sped up research and treatment of COVID-19, among other notable achievements. The lessons we draw from this is that, despite the disruptions and the rise in the number of unintended consequences of technology in the fourth industrial revolution, the role played by artificial intelligence and machine learning motivates us to conclude that governments must build trust in these technologies, to address health problems going forward, to ensure that the sustainable development goals related to good health and wellbeing are achieved.

Highlights

  • There has been a rise in interest in research on how artificial intelligence and machine learning handled the COVID-19

  • This interest led to an increase in the number of review studies and articles targeting the role played by artificial intelligence and machine learning in addressing the COVID-19 pandemic

  • The current study aimed to assess the role played by artificial intelligence and machine learning in addressing the dangers posed by the COVID-19 pandemic and extrapolate the lessons on the fourth industrial revolution and sustainable development goals

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Summary

Introduction

Publisher’s Note: MDPI stays neutral with regard to jurisdictional claims in published maps and institutional affiliations. The psychosocial environment was changed drastically due to isolation, economic shutdowns, social distancing, among other restrictions, and these changes seriously affected countries [1]. Parents were burdened with work, supporting children with schoolwork, and many were working from home. Apart from those challenges related to the economic meltdown, unemployment affected people’s mental health in a great way [1]. Razu et al [1] pointed out that the pandemic had a huge burden on healthcare professionals who were involved in curing the COVID-19 patients. Fagherazzi et al [3] highlighted that the biggest impact of the virus was on the healthcare systems of the countries around the globe, as they were supposed to adapt to the increase in demand over the shortest period

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