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Measles Quarantine—The Individual and the Public

2008· review· en· W1998000968 on OpenAlexaboutno aff
Christina Vogel, Maia Funk

Bibliographic record

VenueJournal of Travel Medicine · 2008
Typereview
Languageen
FieldMathematics
TopicCOVID-19 epidemiological studies
Canadian institutionsnot available
Fundersnot available
KeywordsMedicineQuarantineMeaslesPublic healthPsychological interventionInfectious disease (medical specialty)LegislationDiseaseEnvironmental healthLawVaccinationVirologyPolitical science

Abstract

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Travelers infected with measles in Canada were grounded due to measles.1 Air carriers are no longer willing to transport potential risk persons, as it may result in litigation or similar situation as described in this issue.2,3 The recently introduced World Health Organization (WHO) International Health Regulations 4 may result in some limitations to personal freedom in favor of public security. Quarantine still is an effective weapon in controlling a threat to public health—whereas freedom is a recent achievement of democracy and not historic. Persons who are noncompliant with official health requirements constitute a danger to health safety and may cause costly interventions. Tracing the origin of avoidable disease has become easier and therefore the person responsible for transmitting an infectious disease may be detected. Protecting against infection is a balancing act between public good and personal freedom. Should responsible individuals have to pay for an outbreak? When an epidemic of physical disease starts to spread, the community approves and joins in a quarantine of the patients in order to protect health of the community against the spread of the disease (Franklin D. Roosevelt, Speech at Chicago, October 5, 1937). In May 2007, 42 Japanese tourists among a group of 130 were denied the right to fly back from Canada … Corresponding Author: Maia Funk, MD, Centre of Travel Health, Institute of Social and Preventive Medicine, University of Zurich, Hirschengraben 84, CH‐8001 Zurich, Switzerland. E‐mail: sethi{at}ifspm.uzh.ch

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)0.007
metaresearch head score (Gemma)0.037
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.844
Threshold uncertainty score0.971

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0070.037
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0040.001
Bibliometrics0.0000.000
Science and technology studies0.0000.002
Scholarly communication0.0000.000
Open science0.0010.000
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 head0.571
GPT teacher head0.482
Teacher spread0.089 · 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.

Study designNot applicable
Domainnot available
GenreReview

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

Citations9
Published2008
Admission routes1
Has abstractyes

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