Promising preventive and therapeutic effects of TaibUVID nutritional supplements for COVID-19 pandemic: towards better public prophylaxis and treatment (A retrospective study).
Bibliographic record
Abstract
Adjuvant nutritional treatment is a commonly overlooked topic when treating lethal viral diseases as COVID-19 pandemic. We recently introduced TaibUVID nutritional supplements (nigella sativa, chamomile and natural honey) as adjuvants for COVID-19 contacts, patients and public prophylaxis. TaibUVID Forte adds costus, senna and fennel to TaibUVID. Meta-analyses and systematic reviews confirmed evidence-based therapeutic benefits of TaibUVID components in treating many human diseases e.g. diabetes mellitus and hypertension, common co-morbidities in COVID-19 patients. Double-blind clinical trials for treating COVID-19 patients with TaibUVID supplements were inapplicable. In this retrospective study in Egypt, COVID-19 patients and contacts knew TaibUVID via social media and voluntarily used them. 65% of COVID-19 patients (n = 13) received both pharmacological treatments and adjuvant TaibUVID nutritional supplements. 35% (n = 7) received TaibUVID only. Lymphopenia rapidly improved to lymphocytosis upon regular TaibUVID intake. TaibUVID nutritional supplements helped COVID-19 contacts' prophylaxis. 70% of COVID-19 contacts (n = 14) (on regular TaibUVID intake) did not get SARS-COV2 infection. 30% (n = 6) were not using TaibUVID regularly and got mild flu-like symptoms and upon using both TaibUVID and pharmacological treatments, all improved and got negative nasopharyngeal swabs PCR. COVID-19 contacts were mainly physicians (40%, n = 8) (dealing with COVID-19 patients daily) and members of physicians' families (45%). Main presentations reported by COVID-19 patients (n = 20) were cough (90%), fever (55%), anosmia (45%), taste loss (45%), sore throat (45%), respiratory difficulty (45%) and malaise (35%). TaibUVID inhalation therapy (nigella sativa/anthemis/costus solution nebulization) was used by 65% of COVID-19 patients (n = 13) and alleviated respiratory manifestations e.g. cough and respiratory difficulty and was life-saving in some cases. 70% of COVID-19 patients (n = 14) improved in 1-4 days, 25% (n = 5) improved in 5-10 days while 5% improved in more than 10 days. TaibUVID nutritional supplements were tolerable and significantly satisfactory (P<0.01). 81.25% of COVID-19 patients (n = 13) did not report side effects. 18.25% (n = 3) reported mild diarrhea, sweating and hyperglycemia (not confirmed to be due to TaibUVID supplements). 31.25% of patients (n = 5) were satisfied by 100% with TaibUVID nutritional supplements. 37.5% (n = 6) of patients were satisfied by 75%. In conclusion, TaibUVID nutritional supplements are recommended for public prophylaxis (to decrease emergence of new cases) and treatment in COVID-19 pandemic. Clinical trials and further investigations are recommended.
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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 | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.002 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 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 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".