Deep Learning from the COVID-19 Pandemic: An Updated Study after 3 Years of the Pandemic

Abstract

Tremendous human sufferings and loss of life around the world caused by the COVID-19 pandemic have compelled mankind to take deep lessons from this pandemic. To provide a historical perspective, this paper briefly reviewed the COVID-19 pandemic and the pandemics/epidemics in history, identified 3 overall trends (including: (1) The frequency of the pandemics/epidemics is increasing; (2) The pathogens that caused the pandemics/epidemics have become smaller; (3) The death rate of the pandemics/epidemics in history is decreasing), and discussed related factors (such as certain human activities and environmental factors). In order to end the COVID-19 pandemic, this paper discussed the insights drawn from history and recent progress that has been made. Further, to provide a big picture, the paper extended the environmental factor discussion to the survival and extinction history of certain species on Earth, and the impacts of possible life-threatening environmental and climate changes of the Solar system in the far future. The article concludes that such deep learning from the pandemic is required to save lives, end the pandemic, and prevent future pandemics.