SEVERE ACUTE RESPIRATORY SYNDROME (SARAS COVID-2): A COMPREHENSIVE REVIEW
Bibliographic record
Abstract
Severe infection is cause by novel strain of coronaviruses this novel strain is related to human infecting SARS coronavirus. Coronaviruses are present in animals and transfer occur from animal (mammals) to human beings. The virus spreads from Wuhan to other Chinese cities, and then to other countries e.g. Canada, Australia, Singapore, Thailand, Japan, Malaysia and Vietnam. This virus contains functional and structural proteins and single stranded positive sense RNA molecule. SARS-Cov-2 attaches to particular receptor ACE2 in human’s beings, and has its own RNA polymerase. SARS-Cov-2 genome mutation occur with environmental changes and it’s become more harmful in future. The Severe acute respiratory syndrome-Cov-2 is a s.sRNA (positive sense) genome having two lateral unidentified regions, has polyprotein that is coded by a single long ORF and organized in 5' replicate arrangements then constitutional protein such as (S, E, M and N). Coronavirus genome contains 5′ untranslated region with a leader sequence of 5′, ORF 1a/b encoding functional proteins for replication, constitutional proteins with envelope, membranes and nucleoproteins, necessary proteins such as SARS-Cov-2, of 3, 6, 7a, 7b 8 and 9b, and 3′ untranslated region. For treating SARS-Cov-2, FDA approved five drugs that include penciclovir, nafamostat, chloroquine, ribavirin, nitazoxanide and two well-known antiviral drugs, favipiravir (T-705) and Remdesivir (GS5734) evaluated in- vitro for the SARS-Cov-2 clinical isolate for the purpose of checking the antiviral efficiency of these drugs against the virus. To calculate the effectiveness of the drugs on the pathogenicity, infection rate and yield of SARS-Cov-2 standard assay were carried out.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.003 | 0.002 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.005 | 0.001 |
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 source (direct Gemma or distilled Codex), 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".