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Record W2105228360 · doi:10.5539/gjhs.v2n2p198

Health Status and Personal Hygiene among Food Handlers Working at Food Establishment around a Rural Teaching Hospital in Wardha District of Maharashtra, India

2010· article· en· W2105228360 on OpenAlexvenueno aff
Abhay Mudey, Naveeta Kesharwani, Gargi Abhay Mudey, Ramchandra C Goyal, Ajay Dawale, Vasant Wagh

Bibliographic record

VenueGlobal Journal of Health Science · 2010
Typearticle
Languageen
FieldAgricultural and Biological Sciences
TopicFood Safety and Hygiene
Canadian institutionsnot available
Fundersnot available
KeywordsMedicineEnvironmental healthHygienePersonal hygieneFood hygieneFood safetyFamily medicine

Abstract

fetched live from OpenAlex

The chances of food contamination largely depend on the health status of food handlers & their hygiene behaviors and practices. Often these food handlers are being appointed without proper health examination. Hence community based cross-sectional study was conducted on randomly selected 160 food handlers of both sex to assess health status of food handlers working in food establishment nearby a medical institute. Stool examination and nail culture was also done.There was no registration of these food establishments. Most of the food handlers were young in age, mostly cooks (35.62 %) and literate (63.13 %). Point prevalence of morbidity was 54 (33.75%) and period prevalence 26.25 %. 21.87 % were anemic. Microbial positivity rate for their stool & nail culture was 97 percent.Registration of all food establishments should be mandatory. Pre-placement and periodical medical checkup is the key to improve health status of food handlers for better food safety. Key Words: Food handlers, personal hygiene, food safety, health status, stool & nail culture

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 score0.013
Threshold uncertainty score0.027

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0010.000
Scholarly communication0.0010.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0020.000

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 head0.014
GPT teacher head0.252
Teacher spread0.238 · 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

Citations84
Published2010
Admission routes1
Has abstractyes

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