COVID-19 Vaccines and Adverse Effects of SARS-CoV-2 in Recovered Patients of COVID-19: An In-depth Review
Bibliographic record
Abstract
Severe Acute Respiratory Syndrome (SARS-CoV-2) causes the coronavirus disease (COVID-19), which is characterised by severe respiratory syndrome and other complications. It is a serious threat to global public health if proper vaccination is not followed. The efficient COVID-19 management requires vaccination along with other precautionary measures. Public transmission of COVID-19 seems to have decreased and immune response to viral infections has improved by vaccination. The present review discusses in detail about the current situation of the COVID-19, based on the latest reports about approved vaccine types and their efficacy, vaccination status, and various SARS-CoV-2 variants. This review also includes insights into the post-COVID complications in recovered patients. Besides, some of the ill-effects of drugs in inducing other diseases in COVID-19 recovered patients, are also discussed in this review article. This study will help the researchers to prepare strategies for further research on vaccine production and prevent the occurrence of the disease in future.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".