An updated review of human monkeypox disease: A new potential global hazard
Bibliographic record
Abstract
Monkeypox, a recently developed viral infectious disease, has become a concern for the general public. This predicament has emerged because of the increased incidence of human monkeypox infections. It was previously a serious zoonotic virus native to just sections of Central and Western Africa and was never recorded outside endemic areas. In this review, the author presented considerable data on this disease and offered a detailed summary of MPXV. More recently, as of October 27, 2022, Monkeypox cases spread quickly across the globe, infecting 76713 people globally, with the majority of cases from Europe, the United Kingdom, North and South America, Asia, and the Middle East. By October 27, 2022, the disease had spread to almost 109 countries. In the United States, there were 28244 (36.82%) cases of Monkeypox; in Brazil, 9045 (11.79%); in Spain, 7317 (9.53%); in the United Kingdom, 3698 (4.82%); in France, 4094 (5.34%); in Germany, 3662 (4.77%); in Colombia, 3298 (4.29%); in Peru, 3048 (3.92%); in Canada, 1436 (1.87%); in Belgium, 786 (1.02%) and Portugal, 944 (1.23%). In terms of the overall number of deaths, 36 deaths were reported, with the maximum eight deaths being from Brazil (22.22%), seven from Nigeria (19.44%), and six deaths from the United States (16.67%). However, human Monkeypox epidemiological trends are rapidly changing, leaving endemic areas and moving to non-endemic countries. Therefore, international health authorities must implement priority-based preventive measures to prevent the spread of Monkeypox infection worldwide.
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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 | 0.005 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.002 | 0.001 |
| Bibliometrics | 0.006 | 0.006 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.002 | 0.002 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.011 | 0.003 |
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".