| Literature DB >> 35042059 |
Jonaid Ahmad Malik1, Sakeel Ahmed2, Aroosa Mir3, Mrunal Shinde4, Onur Bender5, Farhan Alshammari6, Mukhtar Ansari7, Sirajudheen Anwar8.
Abstract
BACKGROUND: The SARS-CoV-2 coronavirus epidemic is hastening the discovery of the most efficient vaccines. The development of cost-effective vaccines seems to be the only solution to terminate this pandemic. However, the vaccines' effectiveness has been questioned due to recurrent mutations in the SARS-CoV-2 genome. Most of the mutations are associated with the spike protein, a vital target for several marketed vaccines. Many countries were highly affected by the 2nd wave of the SARS-CoV-2, like the UK, India, Brazil and France. Experts are also alarming the further COVID-19 wave with the emergence of Omicron, which is highly affecting the South African populations. This review encompasses the detailed description of all vaccine candidates and COVID-19 mutants that will add value to design further studies to combat the COVID-19 pandemic.Entities:
Keywords: Clinical trials; Covid-19; Mutations; Vaccine efficacy; Variant strains
Mesh:
Substances:
Year: 2022 PMID: 35042059 PMCID: PMC8730674 DOI: 10.1016/j.jiph.2021.12.014
Source DB: PubMed Journal: J Infect Public Health ISSN: 1876-0341 Impact factor: 3.718
Fig. 1Demonstrates all the variants of the SARS-CoV-2 (Black) with the associated key mutations (Brown).
Vaccines authorized for emergency use or approved for full use.
| Sr. no | Vaccine name | Manufacturer | Types of vaccine | Country of origin | Dose | Storage (°C) | Efficacy | References |
|---|---|---|---|---|---|---|---|---|
| 1. | BNT162b2 (Community) | Pfizer-BioNTech | mRNA | Germany, United States | 2 | −80 to −60 | 95% | [ |
| 2. | mRNA-1273 | Moderna | mRNA | United States | 2 | −25 to −15 | 94.5% | [ |
| 3. | Ad26.COV2. S | Janssen (Johnson & Johnson) | Viral vector | United States, Netherlands | 1 | 2–8 | 66.3% | [ |
| 4. | AZD1222 (Vaxzevria) | Oxford-AstraZeneca | Viral vector | United Kingdom, Sweden | 2 | 2–8 | 81.3% | [ |
| (Covishield) | ||||||||
| 5. | Ad5-nCov | CanSino | Viral vector | China | 1 | 2-8 | 65.28% | [ |
| 6. | Sputnik V | Gamaleya | Viral vector | Russia | 2 | −18.5 (2 year) | 91.6% | [ |
| 2–8 (6 month) | ||||||||
| 7. | Covaxin | Bharat Biotech | Inactivated | India | 2 | 2–8 | 80.6% | [ |
| 8. | BBIBP-CorV | Sinopharm (Beijing) | Inactivated | China | 2 | 2–8 | 79.34% | [ |
| 9. | NVX-CoV2373 | Novavax | Protein subunit | United States | 2 | 2–8 (6 month) | 96.4% | [ |
| −20 (2 year) | ||||||||
| 10. | Inactivated (Vero Cell) | Sinopharm (Wuhan) | Inactivated | China | 2 | 2–8 | 72.51% | [ |
| 11. | CoronaVac | Sinovac | Inactivated | China | 2 | 2–8 | 50.38% | [ |
| 12. | CoviVac (KoviVac) | Chumakov Center | Inactivated | Russia | 2 | 2–8 | Unknown | [ |
| 13. | QazCovid-in (QazVac) | Kazakhstan RIBSP | Inactivated | Kazakhstan | 2 | 2–8 | Unknown | [ |
| 14. | RBD-dimer | Anhui Zhifei Longcom | Protein subunit | China | 3 | 2–8 | Unknown | [ |
| 15. | EpiVacCorona | FBRI | Protein subunit | Russia | 2 | 2–8 | Unknown | [ |
Fig. 2Demonstrates the efficacy of approved SARS-CoV-2 vaccines.
Mortality rate due to SARS-CoV-2 waves.
| Mortality rate | ||
|---|---|---|
| Age group | 1st wave | 2nd wave |
| <10 | 0.27% | 0.34% |
| 10–20 | 0.53% | 0.31% |
| 20–30 | 2.08% | 1.72% |
| 30–40 | 5.27% | 5.39% |
| 40–50 | 11.98% | 10.82% |
| 50–60 | 23.29% | 21.23% |
| 60–70 | 28.76% | 28.21% |
| 70–80 | 19.99% | 22.17% |
| 80+ | 7.82% | 9.81% |