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Record W2163485305

Human surveillance for West Nile virus infection in Ontario in 2000.

2002· article· en· W2163485305 on OpenAlexaffabout
Elizabeth Ford-Jones, Margaret Fearon, Chuck Leber, Prabo Dwight, Moira Myszak, Beverly P. Cole, Pam Baker Greene, Sheila Artes, Allison McGeer, Colin D’Cunha, Monika Naus

Bibliographic record

VenuePubMed · 2002
Typearticle
Languageen
FieldMedicine
TopicData-Driven Disease Surveillance
Canadian institutionsHospital for Sick Children
Fundersnot available
KeywordsMedicineDisease surveillanceSuspectWest Nile virusVirologyEmergency medicineVirusEpidemiologyInternal medicine
DOInot available

Abstract

fetched live from OpenAlex

BACKGROUND: The first reports of West Nile virus (WNV) infection in the United States in 1999 prompted Ontario to establish a surveillance protocol to monitor for the possible spread of the virus into the province. Surveillance components included evaluation of dead birds, sentinel chickens, mosquito pools and human disease. We report the results of human surveillance in 2000. METHODS: Between July 1 and Oct. 31, 2000, an active surveillance program was undertaken in which designated site coordinators in sentinel hospitals identified patients who met the suspect case definition (fever and fluctuating level of consciousness [encephalopathy], with or without muscle weakness). During the same period, following province-wide distribution of educational material, all other patients tested for WNV antibodies were identified through review of provincial laboratory reports (laboratory-based enhanced passive surveillance). RESULTS: Of the 60 hospitals contacted, 59 agreed to participate in the active surveillance program; 52 provided information on a regular (weekly) basis, and 7 submitted fewer than 8 reports. Thirty-six (61%) of the sentinel sites reported suspect cases. In total, 188 patients were tested (130 identified through active surveillance and 58 through enhanced passive surveillance). Patients identified through active surveillance were more likely than those identified through passive surveillance to meet the suspect case definition (43% [n = 56] v. 7% [n = 4]), to be admitted to hospital (75% [n = 99] v. 16% [n = 9]), to have a longer hospital stay (mean 25 v. 3 days), to have had a second (convalescent) serum sample collected (37% [n = 48] v. 31% [n = 18]), to have had a cerebrospinal fluid (CSF) sample banked (56% [n = 73] v. 14% [n = 8]) and to have had a discharge diagnosis reported (79% [n = 103] v. 28% [n = 16]). Of the 60 patients (32%) who met the suspect case definition, 34 (57% [31 active, 3 passive]) had a discharge diagnosis of encephalitis. Of these, 17 (50% [15 active, 2 passive]) had paired serum samples collected, and 18 (51% [all active]) had a CSF sample banked. The reported causal agents were herpes simplex virus (n = 8), varicelia virus (n = 2), Powassan virus (n = 1), echovirus 30 (n = 1) and group B Streptococcus (n = 1); the cause was unknown in 18 cases. One patient died of encephalitis. The remaining 26 patients who met the suspect case definition were ultimately found to have nonencephalitic infections, vascular events or alcohol- or drug-related illness. The 128 (68%) tested for WNV who did not meet the suspect case definition included 9 patients ultimately discharged with a diagnosis of encephalitis. No cases of WNV infection were identified. INTERPRETATION: Only one-third of the tested patients met the suspect case definition of encephalopathy on admission, and nearly half of them were later found to have another diagnosis; others did not meet the case definition but were later discharged with a diagnosis of encephalitis. This affirms that identification of acute encephalitis on the basis of symptoms at the time of admission is often impossible.

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: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.795
Threshold uncertainty score0.929

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 head0.040
GPT teacher head0.252
Teacher spread0.212 · 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 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

Citations19
Published2002
Admission routes2
Has abstractyes

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