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Record W2096333511 · doi:10.4102/safp.v23i6.2096

Human Rabies: A tragedy that must be prevented

2001· article· en· W2096333511 on OpenAlex
D.N. Durrheim, GA Ogunbanjo, Lucille Blumberg, Robert C. Spear, G. C. Bishop

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueSouth African Family Practice · 2001
Typearticle
Languageen
FieldImmunology and Microbiology
TopicRabies epidemiology and control
Canadian institutionsCascades (Canada)
Fundersnot available
KeywordsMedicineRabiesTragedy (event)VirologyPsychiatry

Abstract

fetched live from OpenAlex

Human rabies is endemic throughout South Africa and every year a number of deaths occur, mainly in children largely due to bites from infected dogs, coupled to incorrect management after the exposure.The encephalomyelitis that follows central nervous system invasion bythe rabies lyssavirus is invariably fatal. However modern vaccines and immunoglobulin registered for use in South Africa are safe and very effective in preventing rabies when administered correctly before and after exposure. Unfortunately the prohibitive cost of rabies vaccine does not allow for prophylactic routine immunisation of all children or indeed for the immunisation of all animal bke victims in South Africa.This article reviews current best practice in determining which persons should receive pre-exposure vaccination and post-exposure treatment. lt updates and expands the clinical guidelines for rabies management prepared by the South Africa Department of Health, briefly discussing specific principles of management. In addition, the confirmation of diagnosis and approach to patient care are described.

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.

Full frame distilled prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.002
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.576
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0010.001
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0010.001

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.

Opus teacher head0.049
GPT teacher head0.293
Teacher spread0.243 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it