Deep Learning from the COVID-19 Pandemic: An Updated Study after 3 Years of the Pandemic | Chapter 3 | Research Highlights in Disease and Health Research Vol. 3

 Tremendous human sufferings and death about the globe caused apiece COVID-19 universal have necessitated humankind to take deep communication from this universal. To provide a archival view, this paper concisely inspected the COVID-19 universal and the epidemic/epidemics in history, recognized 3 overall flows (containing: (1) The commonness of the epidemic/epidemics is increasing; (2) The pathogens that precipitated the outbreak of disease or condition/epidemics have decrease; (3) The obliteration rate of the epidemic/epidemics in past is decreasing), and explained accompanying determinants (to a degree sure human actions and environmental determinants). In order to end the COVID-19 universal, this paper examined the judgments tense from history and current progress that has happened created. Further, to determine a entire perspective, the paper lengthened the environmental determinant dispute to the continuation and destruction experiences of sure species on Earth, and the impacts of attainable mortal incidental and mood changes of the Solar system in the far future. The item concludes that aforementioned deep education from the universal is necessary to preserve lives, end the universal, and prevent future outbreak of disease or condition.

Author(s) Details:

Jing Zhang,
Missouri Institute of Mental Health, University of Missouri in St. Louis, St. Louis, MO 63121, USA.

Please see the link here: https://stm.bookpi.org/RHDHR-V3/article/view/9779

Deep Learning from the Covid-19 Pandemic | Chapter 04 | Issues and Development in Health Research Vol. 8

 The great human misery and loss of life caused by the Covid-19 pandemic around the world prompts humans to learn some important lessons from this pandemic and other pandemics/epidemics throughout history. Despite the fact that Covid-19 vaccines are being developed at a rapid pace and that an increasing number of people are being vaccinated, the high death tolls and severe suffering caused by the infectious Covid-19 disease around the world have exposed our ignorance of the disease, the limitations of modern medicine, and the severe vulnerability of public health systems. The more we learn about coronaviruses (and other little invisible pathogens) and the diseases they have caused in the past, the better equipped we will be to combat the pathogens and save lives. This paper quickly examined the pandemics/epidemics in history and the death tolls they caused, highlighted some connected elements, and identified three tendencies of pandemics/epidemics in history to provide a historical perspective and to bridge the knowledge gap. This paper also expanded the discussion to include the survival and extinction histories of specific species on Earth, as well as a look into the future of possible climate change and environmental changes in our Solar system, as well as questions about human survival or extinction in the far future (billions of years later). According to the report, such deep learning from the epidemic is required to save human lives, end the pandemic, prevent future large-scale pandemics, and possibly even help avert human extinction in the future.

Author(S) Details

Jing Zhang
Missouri Institute of Mental Health, University of Missouri in St. Louis, St. Louis, MO 63121, US.

View Book:- https://stm.bookpi.org/IDHR-V8/article/view/5273