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Record W2969261987 · doi:10.5937/zz1703020g

Hepatitis A on the territory of Belgrade in the period from 2006 to 2015

2017· article· en· W2969261987 on OpenAlexaff
Sonja Giljača, Biljana Begović-Vuksanović, Snežana Radivojević, Leposava Garotić-Ilić, Dušan Durlević, Milutin Mrvaljević, Srbislav Pajić, Mila Uzelac

Bibliographic record

VenueZdravstvena zastita · 2017
Typearticle
Languageen
FieldMedicine
TopicHepatitis Viruses Studies and Epidemiology
Canadian institutionsWestern University
Fundersnot available
KeywordsMedicineHepatitis AIncidence (geometry)HepatitisAsymptomaticEpidemiologyViral hepatitisPediatricsDiseaseInfectious disease (medical specialty)Environmental healthVirologyImmunologyInternal medicine

Abstract

fetched live from OpenAlex

Hepatitis A is an acute viral disease of the liver caused by hepatitis A virus. The infection is usually transmitted by contact, rarely by contaminated water and food. The disease is a significant epidemiological problem in many areas of the world, because of differences in the clinical presentation and the frequent asymptomatic infections. This document presents epidemiologic overview of hepatitis A in Belgrade between 2006 and 2015. Based on annual reports of prevention, containment and elimination of infectious diseases, in the observed period there's been a 16461 registered cases of intestinal infectious diseases with initial rate of incidence 99,19/100.000. Of all intestinal diseases cases, hepatitis A represents 5,15% (894). The average rate of illness caused by hepatitis A is 5,56 per 100.000 people. The condition is registered throughout the year, with a peak incidence in the autumn months. It affects people of all age groups, but is more common in school children and men. Of all hepatitis A cases, only 16,55% were registered as a part of epidemics, the most common type of contact. On the whole, the incidence of hepatitis A has a declining tendency.

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 score0.101
Threshold uncertainty score0.984

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 studies0.0000.000
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 head0.061
GPT teacher head0.343
Teacher spread0.283 · 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
Published2017
Admission routes1
Has abstractyes

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