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Record W2086874333 · doi:10.4103/0019-557x.104267

Epidemiology of pandemic H1N1 strains in a tertiary hospital of Maharashtra

2012· article· en· W2086874333 on OpenAlexaboutno aff
Sunanda Shrikhande, SK Bhoyar, SH Tenpe, NG Deogade

Bibliographic record

VenueIndian Journal of Public Health · 2012
Typearticle
Languageen
FieldMedicine
TopicInfluenza Virus Research Studies
Canadian institutionsnot available
Fundersnot available
KeywordsPandemicEpidemiologyMedicineHuman mortality from H5N1Transmission (telecommunications)Quarter (Canadian coin)Influenza-like illnessTertiary careVirologyVirusCoronavirus disease 2019 (COVID-19)Emergency medicineInternal medicineInfectious disease (medical specialty)DiseaseGeography

Abstract

fetched live from OpenAlex

Swine-flu is a viral fever caused by a new mutated strain Influenza A virus subtype H1N1, which infects humans. Pandemic H1N1 (pH1N1/2009) virus was detected in the first quarter of 2009 in the west coastal region of North America and spread very rapidly to the other countries during April-June, 2009. This study was conducted to assess the epidemiology of pandemic H1N1 strains using a cross-sectional study design in a tertiary hospital. The symptomatic patients attending the flu outpatient department (OPD)/emergency from August 2009 to April 2011 at Indira Gandhi Government Medical College, Nagpur were included using a standard case definition. A total of 67 (27.01%) samples from 247 patients were pandemic influenza A/H1N1 positive. None of the patients had a history of foreign travel, whereas 23.88% of the patients gave history of travel to an endemic area. Overall, 22.38% of the patients came in contact with proven cases of pandemic H1N1. pH1N1 transmission activity has increased since May 2010.

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: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.011
Threshold uncertainty score0.021

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.001
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0010.001
Scholarly communication0.0010.001
Open science0.0010.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0030.000

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 head0.219
GPT teacher head0.461
Teacher spread0.242 · 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 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

Citations9
Published2012
Admission routes1
Has abstractyes

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