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Record W2406067997

Operational Factors Influencing Occurrence and Risk Exposure to Pseudomonas Aeruginosa and Legionella Pneumophila from Hospital Water Systems

2015· article· en· W2406067997 on OpenAlexfundno aff
Émilie Bédard

Bibliographic record

VenuePolyPublie (École Polytechnique de Montréal) · 2015
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicLegionella and Acanthamoeba research
Canadian institutionsnot available
FundersNatural Sciences and Engineering Research Council of Canada
KeywordsLegionellaLegionella pneumophilaForestryGeographyBiologyBacteria
DOInot available

Abstract

fetched live from OpenAlex

RESUME La qualite microbienne de l'eau potable peut etre alteree dans la plomberie interne de grands bâtiments. Les bacteries opportunistes telles que Legionella pneumophila et Pseudomonas aeruginosa sont presentes et meme amplifiees dans les systemes internes de distribution d'eau et peuvent representer un risque pour la sante aux points d’utilisation (robinets, pomme de douche, etc.). La formation du biofilm, la stagnation periodique, les rapports surface-volume eleves ainsi que des plages de temperatures variables sont des facteurs caracteristiques des reseaux de plomberie interne pouvant favoriser la croissance bacterienne. L. pneumophila est une bacterie souvent associee aux systemes de distribution d'eau chaude. Dans les etablissements de sante, plusieurs pays pronent une bonne gestion de la temperature de l’eau afin de prevenir la proliferation des legionelles dans les reseaux de distribution d’eau. P. aeruginosa est a l’origine de plusieurs epidemies en milieu hospitalier, souvent directement ou indirectement liees au systeme d'eau. P. aeruginosa est principalement detecte dans les echantillons d'eau froide au robinet et dans le biofilm de l’aerateur, du robinet ou du drain. Ces deux bacteries opportunistes peuvent demeurer dans le systeme d’eau pour de longues periodes et sont difficiles a eradiquer une fois la contamination etablie.----------ABSTRACT Microbial quality of drinking water can be altered in the premise plumbing of large buildings. Opportunistic pathogens such as Legionella pneumophila and Pseudomonas aeruginosa are present and even amplified in the water distribution system of large buildings and represent a health risk at points-of-use (taps, shower head, etc). Biofilm formation, periodical stagnation, high surface-to-volume ratios, and favorable temperatures are characteristics of the premise plumbing system that can promote bacterial growth. Legionella pneumophila is frequently detected in hot water distribution systems and thermal control is a common measure implemented by healthcare facilities. Pseudomonas aeruginosa is a source of outbreaks, especially in intensive care units (ICU) and several of these outbreaks have been directly or indirectly linked to water systems. P. aeruginosa is primarily detected in cold water and faucet biofilm samples, specifically at the distal end of the water system. Both of these opportunistic pathogens can persist for prolonged periods of time once contamination is established.

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 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: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.365
Threshold uncertainty score0.995

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 head0.011
GPT teacher head0.231
Teacher spread0.220 · 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 teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designBench or experimental
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

Citations1
Published2015
Admission routes1
Has abstractyes

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