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Record W4297198565 · doi:10.5539/gjhs.v14n10p42

A Fatal Case of Adult Generalized Tetanus in the Al-Buraimi Governorate Sultanate of Oman: A First Clinically Diagnosed Case Report

2022· article· en· W4297198565 on OpenAlexvenueno aff
Muhammad Muqeet Ullah, Ahmed Yar Mohammed Dawood Al Balushi, Hanan Hassan Matar Al-Marbouai, Shivdev Singh Katoch, Salman Hamed Salim Al Mamari, Mohammed Rashid Abdullah Al Shamsi, Jawaher Mohammed Al Yazeedi, Shaji Varughese, Muhammad Adil Anver, Fatma Rashid Al Ghaithi

Bibliographic record

VenueGlobal Journal of Health Science · 2022
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicDiphtheria, Corynebacterium, and Tetanus
Canadian institutionsnot available
Fundersnot available
KeywordsTetanusMedicinePublic healthDiseaseExpatriateNotifiable diseasePediatricsEnvironmental healthMedical emergencyFamily medicineVaccinationNursingImmunologyGeographyInternal medicine

Abstract

fetched live from OpenAlex

Tetanus is a notifiable disease in Oman under event based surveillance system. It is an uncommon but very fatal disease caused by spores of bacteria found in the environment. The disease remains an important public health problem in many parts of the world, especially in low-income countries or districts, where immunization coverage is low. Tetanus requires a history of injury or wound. This is a clear typical clinical picture in our fatal case of a 43 years old Bangladeshi expatriate who was diagnosed for the first time in the governorate at Accident & Emergency Department of Al-Buraimi Hospital, Sultanate of Oman. Regular health education awareness of the public for immunization and timely seeking medical care can play an important role in lowering the morbidity and mortality of tetanus. This case report should definitely contribute to raise the awareness of tetanus, both at local and national level among all health workers and public.

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 machine prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.001
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Case report · Consensus signal: Case report
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.007
Threshold uncertainty score0.015

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0020.001
Science and technology studies0.0040.001
Scholarly communication0.0010.002
Open science0.0010.002
Research integrity0.0040.003
Insufficient payload (model declined to judge)0.0030.001

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 head0.017
GPT teacher head0.329
Teacher spread0.312 · 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

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designCase report
Domainnot available
GenreEmpirical

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".

Quick stats

Citations0
Published2022
Admission routes1
Has abstractyes

Explore more

Same venueGlobal Journal of Health ScienceSame topicDiphtheria, Corynebacterium, and TetanusFrench-language works237,207