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Record W4206465151 · doi:10.2196/36627

Outbreak Investigation of a Foodborne Illness in Village Bachal Soomro, District Tharparkar, Sindh, Pakistan (December 2020): Retrospective Cohort Study

2022· article· en· W4206465151 on OpenAlexvenueno aff
Kashif Qureshi, Mudassar Hussain, Naveed Masood, Muhammad Ali Gadehi, Saeed Ahmed Bhurt, Mirza Zeeshan Baig, Aneel Kumar, Aurangzeb Sand, Nosheen Ashraf, Mumtaz Ali Khan, Aamer Ikram, Muhammed Juman Bahoto

Bibliographic record

VenueIproceedings · 2022
Typearticle
Languageen
FieldEconomics, Econometrics and Finance
TopicCOVID-19 Pandemic Impacts
Canadian institutionsnot available
Fundersnot available
KeywordsMedicineOutbreakAttack rateDiarrheaAbdominal painOdds ratioEpidemiologyRetrospective cohort studyCohortVomitingCohort studyLogistic regressionPediatricsEnvironmental healthInternal medicine

Abstract

fetched live from OpenAlex

Background On December 3, 2020, district health authorities reported 15 suspected cases of gastroenteritis, including 4 deaths, from Village Bachal Soomro after a mourning ceremony. Objective Field Epidemiology and Laboratory Training Program (FELTP) fellows investigated the suspected outbreak, with the objective to determine the magnitude of the outbreak and to evaluate associated risk factors. Methods A retrospective cohort study was conducted on December 3, 2020, at Village Bachal Soomro. The complete cohort was traced back, and a pretested structured questionnaire was adopted to obtain demographic, clinical, and risk factor information. A case was defined as “any individual who attended the mourning ceremony at Village Bachal Soomro on December 3, 2020, and presented with any of the following symptoms: diarrhea, abdominal pain/cramps, and drowsiness.” Descriptive analysis followed by multiple logistic regression was performed. Different blood, stool, oropharyngeal swab, drinking water, and milk samples were sent for microbiological and chemical investigation. Results Of 61 participants, 32 (52%) were males and the median age was 23 years (range 1-70 years). The overall attack rate was 72%, while the most affected age group was 10-19 years, with an attack rate of 85%. The majority of cases presented with diarrhea (47/61, 77%), followed by abdominal pain (44/61, 72%), vomiting (43/61, 70%), body ache (29/61, 48%), drowsiness (10/61, 16%), and fever (4/61, 7%). Among all food items, dessert had the highest food-specific attack rate of 90%. Among all risk factors, consumption of dessert (adjusted odds ratio [aOR] 61.3, 95% CI 6.1-613.1), water (aOR 23.9, 95% CI 2.0-276.7), and buffalo milk (aOR 7.9, 95% CI 1.22-51.8) were found to be significantly associated with the attack. Distribution of cases showed a common point source that was probably due to a single pathogen source. Conclusions Dessert was prepared 10-12 hours prior to meal intake, so the outbreak was probably caused by dessert prepared with contaminated milk and water, with enterotoxins of Staphylococcus aureus. Community awareness of personal hygiene, proper storage/preservation of food items, and provision of safe drinking water are suggested.

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

Direct model labels (unvalidated)

Per-model category and study-design labels from the labeling rounds. They are machine output, unvalidated, and the disagreement between models ships as data. No study design here is MEDLINE-validated yet.

Model armCategoriesStudy designConfidence
gemmano category
Domain: not available · Genre: Empirical
About the Canadian research system: no · About a Canadian topic: no
Observationallow
gptno category
Domain: not available · Genre: Empirical
About the Canadian research system: no · About a Canadian topic: no
Observationalmedium
models agreeAgreement compares identical category sets and study designs across arms.

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)0.001
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 score0.022
Threshold uncertainty score0.044

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0020.001
Scholarly communication0.0010.001
Open science0.0010.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0010.000

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 head0.023
GPT teacher head0.256
Teacher spread0.233 · 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

Labeled directly by 2 models reading the full record.

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
Published2022
Admission routes1
Has abstractyes

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