MétaCan
Menu
Back to cohort
Record W4214672247 · doi:10.2196/37246

Antimicrobial Resistant Bacteria in Health Care Facilities: Exploring Links With Water, Sanitation, and Hygiene in Gaza, Palestine

2022· article· en· W4214672247 on OpenAlex
Reem Abu Shomar, Mark Zeitoun, Ghassan Abu Sittah, Antoine Abu Fayad, Aula Abbara, Nassim El Achi, Abdelraouf A. Elmanama

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

venuePublished in a venue whose home country is Canada.
no affNo Canadian affiliation: this work is invisible to an affiliation-only frame.
No Canadian affiliation. An affiliation-only frame, the usual design, would never have seen this work. It is one of the works that make the case for inverting the frame.

Bibliographic record

VenueIproceedings · 2022
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicAntibiotic Resistance in Bacteria
Canadian institutionsnot available
Fundersnot available
KeywordsCeftazidimeImipenemMicrobiologyAntibiotic resistancePiperacillinHygieneAmikacinMedicineVeterinary medicineAntimicrobialBiologyAntibioticsBacteriaPseudomonas aeruginosa

Abstract

fetched live from OpenAlex

Background Antimicrobial resistance (AMR) is a growing global phenomenon; however, its link to water, sanitation, and hygiene (WASH) remains underexplored, particularly in health care facilities where humanitarian crises prevail. Objective This study aimed to identify AMR bacteria in samples collected from WASH services in 2 hospitals in Gaza and to investigate the presence of AMR genes. Methods A hospital-based cross-sectional study to detect and identify antimicrobial resistance bacteria was conducted. Random samples from water, wastewater, soap, and surface swabs (n=345) were collected from Al-Shifa and European Gaza hospitals and screened for the presence of Enterobacteriaceae, Pseudomonas, Enterococcus, and Staphylococcusaureus. Antimicrobial susceptibility, extended spectrum beta-lactamase (ESBL) production, carbapenem resistance, and AMR genes were investigated. Results High levels of bacterial contamination were detected in water and surface swab samples with an overall percentage of 34.1%. Moreover, 22% of the identified Enterobacteriaceae was positive for ESBL, and 14% was positive for modified Hodge test. Over 2/3 of isolated Enterobacteriaceae in water and wastewater samples was found to be resistant to amikacin, ceftazidime, ceftriaxone, and imipenem. All Enterobacteriaceae isolates from swab samples were found to be resistant to piperacillin-tazobactam, amikacin, ceftazidime, and ceftriaxone; 13.8% of S. aureus in water samples was methicillin resistant. The prevalence of ESBL genes among Enterobacteriaceae isolates was 25% OXA, 19.4% SHV, 2.8% KPC, 66.7% TEM, 41.7% blaCTXM, and 5.6% blaCTXM-3. For carbapenem-resistant gene (MDM), the prevalence among Enterobacteriaceae was 11.1%, and among Pseudomonas was 12.5%. The antibiotic susceptibility profile was also presented for Pseudomonas, Enterococcus, and S. aureus. Conclusions The results underline the level of contamination with AMR bacteria in WASH samples and highlight the need to consider the safety of WASH service at health care facilities as an essential aspect in the fight against the spread of AMR and to interrupt nosocomial transmission.

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.

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)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.503
Threshold uncertainty score0.583

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
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 head0.015
GPT teacher head0.229
Teacher spread0.214 · 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