Epidemiology of coronaviruses, genetics, vaccines, and scenario of current pandemic of coronavirus diseases 2019 (COVID-19): a fuzzy set approach
| Autor: | Muhammad Khan, Fazal Mehmood Khan, Tauseef Ahmad, Jin Hui, Muhammad Gulistan, Wathek Chammam |
|---|---|
| Rok vydání: | 2021 |
| Předmět: |
China
Respiratory complications medicine.medical_specialty COVID-19 Vaccines Coronavirus disease 2019 (COVID-19) Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) 030231 tropical medicine Immunology Fuzzy set Review medicine.disease_cause 03 medical and health sciences 0302 clinical medicine Epidemiology Pandemic medicine Humans Immunology and Allergy 030212 general & internal medicine Intensive care medicine Pandemics Coronavirus Pharmacology SARS-CoV-2 business.industry Uncertainty COVID-19 virus diseases Outbreak business |
| Zdroj: | Hum Vaccin Immunother |
| ISSN: | 2164-554X 2164-5515 |
| Popis: | 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. |
| Databáze: | OpenAIRE |
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