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Record W2471450651 · doi:10.2807/ese.16.13.19829-en

Malaria among patients and aid workers consulting a primary healthcare centre in Leogane, Haiti, November 2010 to February 2011 – a prospective observational study

2011· article· en· W2471450651 on OpenAlexaff
Ami Neuberger, O Zaulan, Shiri Tenenboim, Spencer Vernet, Racheli Pex, Kirsten Held, Marnina Urman, K Garpenfeldt, Eli Schwartz

Bibliographic record

VenueEurosurveillance · 2011
Typearticle
Languageen
FieldMedicine
TopicMalaria Research and Control
Canadian institutionsMarkham Stouffville Hospital
Fundersnot available
KeywordsChemoprophylaxisMalariaMedicineEpidemiologyObservational studyPlasmodium falciparumEnvironmental healthHealth carePediatricsFamily medicineImmunologySurgeryInternal medicine

Abstract

fetched live from OpenAlex

Plasmodium falciparum malaria is endemic in Haiti, but epidemiological data are scarce. A total of 61 cases of malaria were diagnosed between November 2010 and February 2011 among 130 Haitian patients with undifferentiated fever. Three additional cases were diagnosed in expatriates not taking the recommended chemoprophylaxis. No cases were diagnosed among aid workers using chemoprophylaxis. In conclusion, malaria is a significant health problem in Leogane, Haiti. Aid workers and visitors should use chemoprophylaxis according to existing guidelines.

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)0.000
metaresearch head score (Gemma)0.001
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: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.053
Threshold uncertainty score0.106

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.001
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0010.001
Scholarly communication0.0010.001
Open science0.0000.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0020.000

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 head0.047
GPT teacher head0.274
Teacher spread0.227 · 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".

Quick stats

Citations16
Published2011
Admission routes1
Has abstractyes

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