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Record W4229958713 · doi:10.1093/fampra/cml021

Flu pandemic

2006· letter· en· W4229958713 on OpenAlexaff
Martin Dawes

Bibliographic record

VenueFamily Practice · 2006
Typeletter
Languageen
FieldPsychology
TopicCOVID-19 and Mental Health
Canadian institutionsMcGill University
Fundersnot available
KeywordsMedicinePandemicCoronavirus disease 2019 (COVID-19)2019-20 coronavirus outbreakSevere acute respiratory syndrome coronavirus 2 (SARS-CoV-2)VirologyFamily medicineInternal medicineOutbreakDiseaseInfectious disease (medical specialty)

Abstract

fetched live from OpenAlex

A flu pandemic is inevitable. What is not known is how many will be affected, and when it will happen. We are currently in pandemic alert period phase three of the six international phases for a pandemic outlined by the World Health Organization (http://www.who.int/csr/disease/avian_influenza/phase/en/index.html). Once cases begin to occur in each country it will take only a few weeks before influenza is widespread. The scientific debate about whether it will be possible to stop a pandemic has not reached any real conclusions.1,2 An additional uncertainty is how we will react as health professionals. In their article Shaw et al. explored the reaction of GPs to the problems of providing primary care during an influenza pandemic.3 During such an event as many as 30% of the population may be temporarily incapacitated and there will be an excess number of deaths over and above those seen during normal influenza epidemics. It is estimated that a GP may expect to see 50 new cases per week for an average list size, which would rise to 100 at the height of the pandemic. As 30% of other GPs may be sick the actual volume might be several times higher. In response to this potential humanitarian health crisis, the authors found that Tasmanian GPs were committed to providing primary care even though they would be putting themselves and their families at risk. The key role in primary care will be reassurance of well patients, the assessment and management of patients unwell with influenza, continuing care of unaffected patients and looking after the psychological consequences of the disaster. They acknowledged the risk to themselves and were anxious that governments were not providing the resources to minimize that risk. A number of practices felt that they had not adequate supplies of masks, gloves, gowns and antiviral medication. The most important conclusion from this study is that, as health professionals, it is up to us to organize the care in our own practices so that when the epidemic does come we will know what to do. The differing contexts in which each of us practice means that national and even local plans cannot really help us prepare for the day-to-day management of care during a pandemic. It is the government's responsibility to make sure that practices can have access to the medical supplies that we need but we should be drawing up our own practice plan. In addition to supplies we need to have organized various elements of practice such as methods of contacting each other and other health services. Do you have a system for seeing patients suspected of influenza that minimizes the risk of transmission to other patients? Do your staff know what the assessment criteria are for a potential avian flu case (Box 1)? Clinical assessment criteria for suspected avian flu, whether bird to human or human to human Clinical assessment criteria for suspected avian flu, whether bird to human or human to human Information about preparing a practice is still fragmentary but several national websites, for example http://www.rcgp.org.uk/default.aspx?page=3908, are very helpful. They contain most of the elements that are important but not immediately obvious; for example making sure we have enough cleaning fluid to wipe down surfaces. There is much discussion on various medical discussion forums and journals about whether we would continue to practice during an epidemic with many individuals declaring that they would not do so. The last word on this part of the debate should go to this GP ‘Caring for patients is a moral imperative during a pandemic influenza outbreak. I wouldn't be much of a human being if I closed up and headed for thehills.’

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)0.001
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: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Commentary · Consensus signal: Commentary
Teacher disagreement score0.084
Threshold uncertainty score0.280

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.003
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.001
Bibliometrics0.0000.000
Science and technology studies0.0050.001
Scholarly communication0.0020.001
Open science0.0010.002
Research integrity0.0170.010
Insufficient payload (model declined to judge)0.0840.024

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 head0.128
GPT teacher head0.448
Teacher spread0.319 · 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 designNot applicable
Domainnot available
GenreCommentary

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

Citations3
Published2006
Admission routes1
Has abstractno

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