Scabies as a Neglected Tropical Disease: A Comprehensive Review ofPathogenesis, Epidemiology, Clinical Manifestations, Diagnosis andTreatment
Bibliographic record
Abstract
, affecting over 200 million individuals worldwide at any given time. The World Health Organization (WHO) has recognized this infection as a neglected tropical disease (NTD) since 2017. Scabies mainly affects underdeveloped, overcrowded, and resource-limited communities, particularly in tropical and subtropical areas. Intense pruritus that gets worse at night and a distinctive rash with papules, burrows, and secondary bacterial infections from scratching are the clinical manifestations produced. Despite its pervasiveness, many national health agendas fail to adequately address it, misdiagnose it, and underreport it. Its persistence is further exacerbated by social stigma, a lack of awareness, and ineffective diagnosis and treatment. This review article highlights the disease's epidemiological significance, clinical manifestations, diagnostic capabilities, calls for enhanced surveillance, integrated control initiatives, and more funding for research.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.000 | 0.005 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| 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".