| Literature DB >> 35601074 |
Cristian Cojocaru1, Elena Cojocaru2, Adina Magdalena Turcanu1, Dragos Cosmin Zaharia3.
Abstract
Since the first cases of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) infection, there have been challenges recognizing the clinical features of SARS-CoV-2 and identifying therapeutic options. This has been compounded by viral mutations that affect clinical response and primary epidemiological indicators. Multiple variants of SARS-CoV-2 have been identified and classified on the basis of nomenclature implemented by scientific organizations and the World Health Organisation (WHO). A total of five variants of concern (VOCs) have been identified to date. The present study aimed to analyse clinical and epidemiological features of each variant. Based on these characteristics, predictions were made about potential future evolution. Considering the time and location of SARS-CoV-2 VOC emergence, it was hypothesised that mutations were not due to pressure caused by the vaccines introduced in December 2020 but were dependent on natural characteristics of the virus. In the process of adapting to the human body, SARS-CoV-2 is expected to undergo evolution to become more contagious but less deadly. SARS-CoV-2 was hypothesized to continue spread through isolated epidemic outbreaks due to the unimmunized population, mostly unvaccinated children and adults, and for coronaviruses to continue to present a public health problem. Copyright: © Cojocaru et al.Entities:
Keywords: SARS-CoV-2; coronavirus; mutation; symptomatology; variant
Year: 2022 PMID: 35601074 PMCID: PMC9117961 DOI: 10.3892/etm.2022.11343
Source DB: PubMed Journal: Exp Ther Med ISSN: 1792-0981 Impact factor: 2.751
Variants of concern.
| WHO nomenclature | Pango lineage | GISAID clade | Nextstrain clade | Emergence |
|---|---|---|---|---|
| Alpha | B.1.1.7. | GRY | 20I (V1) | United Kingdom, Sep 2020 |
| Beta | B.1.351 | GH/501Y.V2 | 20H (V2) | South Africa, May 2020 |
| Delta | B.1.617.2 | G/478K.V1 | 21A, 21I, 21J | India, Oct 2020 |
| Gamma | P.1 | GR/501Y.V3 | 20J (V3) | Brazil, Nov 2020 |
| Omicron | B.1.1.529 | GRA | 21K, 21L, 21M | South Africa, 24 Nov 2021 |
WHO, World Health Organisation; GISAID, Global Initiative on Sharing All Influenza Data.
Figure 1Mutations and clinical characteristics of severe acute respiratory syndrome coronavirus 2 variants of concern. The size of each spike glycoprotein signifies the magnitude of the effect associated with a specific gene mutation. +, increase; -, decrease.
Number of severe acute respiratory syndrome coronavirus 2 tests in different countries.
| Country, publication date | Mean number of tests (7-day average) | Number of positive tests (7-day average) | Proportion of positive tests, % | Population, 100,000 | Number of tests/100,000 inhabitants |
|---|---|---|---|---|---|
| France, 07.01.2022 | 1,371.513 | 272.931 | 19.9 | 673.9 | 2,035.2 |
| Germany, 09.01.2022 | 212.644 | 48.483 | 22.8 | 841.9 | 252.5 |
| Italy, 07.01.2022 | 829.723 | 136.904 | 16.5 | 603.2 | 1,375.5 |
| Spain, 06.01.2022 | 295.479 | 89.678 | 30.3 | 467.8 | 631.6 |
| UK, 07.01.2022 | 1,800.852 | 180.085 | 10.0 | 684.3 | 2,631.6 |
| US, 07.01.2022 | 2,304.498 | 665.539 | 28.9 | 3,324.0 | 693.2 |
| Canada, 07.01.2022 | 166.253 | 40.133 | 24.1 | 382.5 | 434.6 |