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Record W2939380324 · doi:10.2196/10903

Assessment of Temporary Medical Clinics During the Arbaeenia Mass Gathering at Al-Karkh, Baghdad, Iraq, in 2014: Cross-Sectional Study

2019· article· en· W2939380324 on OpenAlexvenueno aff
Faris Lami, Ali Abdalkader Ali, Kareem Fathullah, Hana Abdullatif

Bibliographic record

VenueJMIR Public Health and Surveillance · 2019
Typearticle
Languageen
FieldMedicine
TopicTravel-related health issues
Canadian institutionsnot available
Fundersnot available
KeywordsMedicineChecklistMass gatheringPublic healthWorkforceHealth careCross-sectional studyEnvironmental healthFamily medicineMedical emergencyNursingEconomic growth

Abstract

fetched live from OpenAlex

BACKGROUND: During mass gatherings, public health services and other medical services should be planned to protect attendees and people living around the venue to minimize the risk of disease transmission. These services are essential components of adequate planning for mass gatherings. The Arbaeenia mass gathering signifies the remembrance of the death of Imam Hussain, celebrated by Shiite Muslims, and takes place in Karbala, which is a city in southern Iraq. This annual mass gathering is attended by millions of people from within and outside Iraq. OBJECTIVE: This study aimed to map the availability of medical supplies, equipment, and instruments and the health workforce at the temporary clinics located in Al-Karkh, Baghdad, Iraq, in 2014. METHODS: This assessment was conducted on the temporary clinics that served the masses walking from Baghdad to Karbala. These clinics were set up by governmental and nongovernmental organizations (NGOs) and some faith-based civil society organizations, locally known as mawakib. We developed a checklist to collect information on clinic location, affiliation, availability of safe water and electricity, health personnel, availability of basic medical equipment and instruments, drugs and other supplies, and average daily number of patients seen by the clinic. RESULTS: A total of 30 temporary clinics were assessed: 18 clinics were set up by the Ministry of Health of Iraq and 12 by other governmental organizations and NGOs. The clinics were staffed by a total of 44 health care workers. The health workers served 16,205 persons per day, an average of 540 persons per clinic, and 368 persons per health care worker per day. The majority of clinics (63% [19/30]-100% [30/30]) had basic medical diagnostic equipment. Almost all clinics had symptom relief medications (87% [26/30]-100% [30/30]). Drugs for diabetes and hypertension were available in almost half of the clinics. The majority of clinics had personal hygiene supplies and environmental sanitation detergents (78%-90%), and approximately half of the clinics had medical waste disposal supplies. Instruments for cleansing and dressing wounds and injuries were available in almost all clinics (97%), but only 4 clinics had surgical sterilization instruments. CONCLUSIONS: Although temporary clinics were relatively equipped with basic medical supplies, equipment, and instruments for personal medical services, the health workforce was insufficient, given the number of individuals seeking care, and only limited public health service, personal infection control, and supplies were available at the clinics.

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)0.001
metaresearch head score (Gemma)0.002
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 score0.020
Threshold uncertainty score0.039

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0000.001
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)0.0030.000

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 head0.035
GPT teacher head0.398
Teacher spread0.363 · 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

Citations5
Published2019
Admission routes1
Has abstractyes

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