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From Prey to Hunter: Training Park Workers to Carry Out Tick Collection as an Alternative Approach for Lyme Disease Vector Surveillance

2018· article· en· W2977493029 on OpenAlexaffabout
Karl Forest Berard, Alejandra Irace Cima, Karine Thivierge, Sandie I. Briand, François Milord, Patrick A. Leighton, L. Robbin Lindsay, Ariane Adam-Poupart

Bibliographic record

VenueISEE Conference Abstracts · 2018
Typearticle
Languageen
FieldImmunology and Microbiology
TopicVector-borne infectious diseases
Canadian institutionsPolytechnique MontréalCegep de Saint HyacintheInstitut National de Santé Publique du Québec
Fundersnot available
KeywordsTrainerLyme diseasePhoneContext (archaeology)Training (meteorology)TickPublic healthEnvironmental healthMedicineGeographyComputer scienceVeterinary medicineNursingVirology

Abstract

fetched live from OpenAlex

CONTEXT Lyme disease (LD) has become a major public health concern in Canada, with flannel-dragging being the gold-standard approach for active tick surveillance. Limited resources hinders proper deployment of this surveillance in Quebec, prompting the exploration of alternatives. A participatory project was therefore developed to explore a new tick sampling scheme based on training of park workers. This training was first implemented in fall 2017 and is also scheduled for spring 2018. OBJECTIVESDevelop and validate a training targeting park employees to (1) allow them to carry out tick sampling activities autonomously and (2) inform them about LD prevention. INTERVENTIONTraining session was developed using governmental material. It combined a theoretical lecture covering basic concepts of LD and a practical segment in which workers carried out a first tick sampling under trainer’s supervision. Subsequently, participants were asked to carry an unsupervised sampling at the same location but on a different day. Ticks collected during samplings were identified and screened for pathogens. Evaluation of the training was done by phone interviews with park managers.OUTCOMEIn fall 2017, 64 workers were trained in 8 parks located in health regions with known LD endemic areas (Monteregie, Mauricie-Centre-du-Quebec, Estrie and Outaouais). All parks were sampled once during the training and half of them managed to carry independent samplings. Overall, 38 LD ticks vector were collected. High appreciation of the training and increased awareness of LD risk among workers were highlighted following evaluationCONCLUSIONAn innovative tick collection method involving workers was explored and will be validated in spring 2018. Such approach could potentially improve active tick surveillance activities while promoting occupational preventive measures. Similar initiatives could be implemented on a larger scale in the future to enhance LD surveillance in Canada.

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)0.005
metaresearch head score (Gemma)0.003
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: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.049
Threshold uncertainty score0.098

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0050.003
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0040.002
Scholarly communication0.0010.001
Open science0.0020.003
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0060.001

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 head0.044
GPT teacher head0.299
Teacher spread0.255 · 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".

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Citations1
Published2018
Admission routes2
Has abstractyes

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