Open Access
COVID-19: A master stroke of Nature
1
Artificial Intelligence and Analytics, Healthcare and Life Science, Virtusa Corporation, New York, NY, USA
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Publication type: Journal Article
Publication date: 2020-06-23
scimago Q2
wos Q2
SJR: 0.878
CiteScore: 5.3
Impact factor: 2.7
ISSN: 23278994
PubMed ID:
32617365
General Medicine
Abstract
This article presents the status of countries affected by COVID-19 (as of mid-May 2020) and their preparedness to combat the after-effects of the pandemic. The report also provides an analysis of how human behavior may have triggered such a global pandemic and why humans need to consider living sustainably to make our future world livable for all. COVID-19 originated in the city of Wuhan, China in December 2019. As of mid-May, it has spread to 213 countries and territories worldwide. The World Health Organization has declared COVID-19 a global pandemic, with a death toll of over 300,000 to date. The U.S. is currently the most impacted country. Collaborative efforts of scientists and politicians across the world will be needed to better plan and utilize global health resources to combat this global pandemic. Machine learning-based prediction models could also help by identifying potential COVID-19-prone areas and individuals. The cause of the emergence of COVID-19 is still a matter of research; however, one consistent theme is humanity's unsustainable behavior. By sustainably interacting with nature, humans may have avoided this pandemic. If unsustainable human practices are not controlled through education, awareness, behavioral change, as well as sustainable policy creation and enforcement, there could be several such pandemics in our future.
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Total citations:
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Citations from 2024:
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RIS
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TY - JOUR
DO - 10.3934/publichealth.2020033
UR - http://www.aimspress.com/article/10.3934/publichealth.2020033
TI - COVID-19: A master stroke of Nature
T2 - AIMS Public Health
AU - Singh, Sushant K.
PY - 2020
DA - 2020/06/23
PB - American Institute of Mathematical Sciences (AIMS)
SP - 393-402
IS - 2
VL - 7
PMID - 32617365
SN - 2327-8994
ER -
Cite this
BibTex (up to 50 authors)
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@article{2020_Singh,
author = {Sushant K. Singh},
title = {COVID-19: A master stroke of Nature},
journal = {AIMS Public Health},
year = {2020},
volume = {7},
publisher = {American Institute of Mathematical Sciences (AIMS)},
month = {jun},
url = {http://www.aimspress.com/article/10.3934/publichealth.2020033},
number = {2},
pages = {393--402},
doi = {10.3934/publichealth.2020033}
}
Cite this
MLA
Copy
Singh, Sushant K.. “COVID-19: A master stroke of Nature.” AIMS Public Health, vol. 7, no. 2, Jun. 2020, pp. 393-402. http://www.aimspress.com/article/10.3934/publichealth.2020033.
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