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Prevalence of hepatitis B infection among voluntary donor in Wuse District Hospital, Abuja

2021· article· en· W3124405688 on OpenAlexaff
Ojevwe DD, Fajimi VO, Ifemeje OC, Ali HA, Gana DF, Abdulsalam JO, Adegoke AS, F Agaga, Maduka MK

Bibliographic record

VenueGSC Biological and Pharmaceutical Sciences · 2021
Typearticle
Languageen
FieldMedicine
TopicHepatitis B Virus Studies
Canadian institutionsSouth Health Campus
Fundersnot available
KeywordsMedicineSeroprevalenceBlood transfusionHBsAgHepatitis BHepatitis B virusVaccinationDistrict hospitalEmergency medicineInternal medicineImmunologyVirusAntibodySerology

Abstract

fetched live from OpenAlex

Blood transfusion is an important and lifesaving intervention of the healthcare system there by reducing mortality worldwide, resulting from high level of blood demanding health conditions. Screening and testing of the donated blood are necessary in order to prevent the risks and complications associated with blood transfusion. This study was carried out in retrospective, considering the six (6) month testing and screening of seven hundred and fifty (n= 750) samples from the relative donor of Wuse District Hospital, Abuja, this was done using the screening method with the use of a rapid test kit. The gender showed 689(91.9%) for male and female 61(8.1), result showed that 32(4.3%) were positive with 28(87.5%) male and 4(12.5%) female respectively, the percentage age group showed the highest to be (56.4%)of 29 -38 years. The study showed an overall seroprevalence of (4.3%) falling within (2 – 7%) intermediate risk group for hepatitis B virus infection as described by the WHO. Government should make available the vaccine against HBV, create more awareness for vaccination and make it free for all (without payment) as soon as possible

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 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)0.000
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.016
Threshold uncertainty score0.505

Codex and Gemma teacher scores by category

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

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.

Opus teacher head0.065
GPT teacher head0.347
Teacher spread0.282 · 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 teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
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
Published2021
Admission routes1
Has abstractyes

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