Epidemiology of coronaviruses, genetics, vaccines, and scenario of current pandemic of coronavirus diseases 2019 (COVID-19): a fuzzy set approach.
Hum Vaccin Immunother
; 17(5): 1296-1303, 2021 05 04.
Article
in English
| MEDLINE | ID: covidwho-1132367
ABSTRACT
Human coronaviruses (HCoVs) are associated with a range of respiratory complications. In the last two decades, three major outbreaks have been reported due to HCoVs including the current pandemic. In December 2019, a newly emerged virus, severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) was first reported in Wuhan city, China. This paper presents a detailed review of the literature and discusses the uncertain spread of coronavirus disease 2019 (COVID-19) using fuzzy set as classical set theory logic to measure uncertainty and vagueness of COVID-19 in China. Our findings show that both infection and death rate touched the peak (normal fuzzy sets) and have shown a decline. The graphs are not convex, which shows that there remains much uncertainty in the spread of COVID-19. Effective vaccines are clearly needed to control and prevent the COVID-19 pandemic.
Keywords
Full text:
Available
Collection:
International databases
Database:
MEDLINE
Main subject:
Pandemics
/
COVID-19 Vaccines
/
SARS-CoV-2
/
COVID-19
Type of study:
Observational study
Topics:
Vaccines
Limits:
Humans
Country/Region as subject:
Asia
Language:
English
Journal:
Hum Vaccin Immunother
Year:
2021
Document Type:
Article
Affiliation country:
21645515.2020.1798697
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