The study's objective is to do an exploratory evaluation of the Covid-19 pandemic by concentrating on the topic of Covid-19 pandemic morbidity and mortality and taking artificial intelligence dynamics and quality of life into consideration (QOL). This research was conducted using a review of the literature, anecdotal evidence, and reports on the morbidity of COVID-19, including the severity of its devastating effects in countries like the United States, Africa, the United Kingdom, China, and Brazil, among others. The findings of this study demonstrated that several susceptible populations are affected negatively by the coronavirus. They include the elderly, front-line employees, marginalised groups, visible minorities, and others. The problem is particularly difficult in Africa since there is a shortage of infrastructure, money, and people resources. Additionally, scientists are successfully utilising AI technology to enhance the production of medications and vaccines. The epidemic also made us realise how important shared values and interpersonal collaboration are. It is widely acknowledged how crucial healthcare professionals and other frontline workers are to combating the epidemic. New methods and successful health interventions have also been proven to be crucial in alleviating the harmful effects of the crisis. In order to combat future waves of epidemics as effectively as possible, it is important to draw lessons from the pandemic. The protection of the elderly's health and wellbeing is one of these potential applications. Making the greatest use of AI skills to battle the pandemic at all stages is a vital future implication.
Author(s) Details:Bongs Lainjo,
Cybermatic International, Montréal, QC, Canada.
Please see the link here: https://stm.bookpi.org/ETDHR-V8/article/view/7225
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