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Epidemiology of coronaviruses, genetics, vaccines, and scenario of current pandemic of coronavirus diseases 2019 (COVID-19): a fuzzy set approach.
Khan, Fazal Mehmood; Ahmad, Tauseef; Gulistan, Muhammad; Chammam, Wathek; Khan, Muhammad; Hui, Jin.
  • Khan FM; Key Laboratory of Special Pathogens and Biosafety, Wuhan Institute of Virology, Center for Biosafety Mega-Science, Chinese Academy of Sciences, Wuhan, China.
  • Ahmad T; International College, University of Chinese Academy of Sciences, Beijing, China.
  • Gulistan M; Department of Epidemiology and Health Statistics, School of Public Health, Southeast University, Nanjing, China.
  • Chammam W; Key Laboratory of Environmental Medicine Engineering, Ministry of Education, School of Public Health, Southeast University, Nanjing, China.
  • Khan M; Department of Mathematics and Statistics, Hazara University, Mansehra, Khyber Pakhtunkhwa, Islamic Republic of Pakistan.
  • Hui J; Department of Mathematics, College of Science Al-Zulfi, Majmaah University, Al-Majmaah, Saudi Arabia.
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.
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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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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