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Record W2100687722 · doi:10.1093/trstmh/tru176

Innovative community-based vector control interventions for improved dengue and Chagas disease prevention in Latin America: introduction to the special issue

2015· editorial· en· W2100687722 on OpenAlexfundno aff
Johannes Sommerfeld, Axel Kroeger

Bibliographic record

VenueTransactions of the Royal Society of Tropical Medicine and Hygiene · 2015
Typeeditorial
Languageen
FieldMedicine
TopicTrypanosoma species research and implications
Canadian institutionsnot available
FundersRoyal SocietyRoyal Society of Tropical Medicine and HygieneInternational Development Research CentreWorld Health Organization
KeywordsVector (molecular biology)Dengue feverPsychological interventionNeglected tropical diseasesContext (archaeology)TriatominaeTransmission (telecommunications)Environmental healthPublic healthVector controlMosquito controlMedicineBiologyEcologyMalariaVirologyImmunologyComputer scienceEngineering

Abstract

fetched live from OpenAlex

Dengue fever and Chagas disease are important public health problems in Latin America. Dengue is a re-emerging viral disease, mainly transmitted by Aedes aegyptii mosquitoes, leading to an increasing number of outbreaks notably in urban areas of the continent. Chagas disease, a parasitic disease transmitted by Triatomine bugs, is a major cause of morbidity and mortality among the continent's rural poor and persisting in different social-ecological settings. In spite of their epidemiological difference, both are vector-borne neglected tropical diseases (NTDs) for which primary prevention can currently mainly be achieved through vector control. n the case of dengue, routine vector control usually consists of source reduction strategies, including larviciding and/or insecticide space-spraying. 6 8] With a focus on domestic transmission, the peridomestic transmission context is often neglected.

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)0.002
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Editorial · Consensus signal: none
Teacher disagreement score0.632
Threshold uncertainty score0.501

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.001
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
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 head0.033
GPT teacher head0.343
Teacher spread0.310 · 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 designNot applicable
Domainnot available
GenreEditorial

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

Citations35
Published2015
Admission routes1
Has abstractyes

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