MétaCan
Menu
Back to cohort
Record W2104849567 · doi:10.5864/d2012-013

Prevention, identification, and treatment options for the management of bed bug infestations

2012· article· en· W2104849567 on OpenAlex

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.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.
venuePublished in a venue whose home country is Canada.
aboutThe title or abstract carries a Canadian signal from the geographic lexicon.

Bibliographic record

VenueEnvironmental Health Review · 2012
Typearticle
Languageen
FieldMedicine
TopicDermatological diseases and infestations
Canadian institutionsMontreal Police ServiceUniversity of WinnipegVancouver Hospital and Health Sciences Centre
Fundersnot available
KeywordsBed bugIdentification (biology)Integrated pest managementBest practiceBusinessRisk analysis (engineering)MedicineEnvironmental healthEnvironmental planningMedical emergencyEcologyGeographyBiology

Abstract

fetched live from OpenAlex

In the past decade, bed bug infestations have been increasing worldwide. Historically, studies have failed to provide evidence for the transmission of human diseases through bed bugs, but recent evidence is lacking. Although physical reactions to bed bug bites continue to be documented, evidence regarding the mental health effects arising from bed bug infestations is limited to anecdotes and case reports. This report provides an update and summary of the bed bug management strategies discussed during a workshop at the 2010 Canadian Public Health Association Conference. “Best practices” regarding prevention, identification, and treatment options are presented, using evidence from existing evaluative studies. Awareness of bed bug behaviour and proper building maintenance can prevent transfer of bed bugs from belongings, including second-hand items, and reduce entry points and harbourage sites. In addition to inspection by trained professionals, early recognition of clinical symptoms and environmental signs of an infestation are important to avoid further spread of bed bugs and to allow implementation of safe and effective treatment options. Early findings may indicate a need for special support for vulnerable individuals with mental health issues potentially exacerbated by bed bug infestations. Preparing units for treatment, including the removal of clutter, is essential. However, physical and financial limitations are challenges for managing bed bug infestations, especially for vulnerable populations. Current treatment options such as application of heat or pesticides can be effective when properly implemented, but there are concerns with pesticide resistance. An Integrated Pest Management approach is recommended and should include ongoing monitoring and prevention that are essential for positive treatment outcomes. Regulatory officials, building management, and pest management professionals are encouraged to collaborate using a systematic approach to address bed bug infestations.

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: Other design · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.878
Threshold uncertainty score0.188

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 head0.061
GPT teacher head0.392
Teacher spread0.331 · 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