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Record W2013009751 · doi:10.1016/s1525-0016(03)00158-8

SARS: Fear of global pandemic

2003· editorial· en· W2013009751 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

aboutThe title or abstract carries a Canadian signal from the geographic lexicon.
no affNo Canadian affiliation: this work is invisible to an affiliation-only frame.
No Canadian affiliation. An affiliation-only frame, the usual design, would never have seen this work. It is one of the works that make the case for inverting the frame.

Bibliographic record

VenueMolecular Therapy · 2003
Typeeditorial
Languageen
FieldHealth Professions
TopicDiverse Scientific Research Studies
Canadian institutionsnot available
Fundersnot available
KeywordsPandemicDiseaseChinaVirologyMedicineCoronavirusVirusCoronavirus disease 2019 (COVID-19)Infectious disease (medical specialty)LawPolitical scienceInternal medicine

Abstract

fetched live from OpenAlex

Just as the war in Iraq was winding down and hopes for global stability were increasing, severe acute respiratory syndrome (SARS) has appeared to frighten an already jittery global community. The World Health Organization and the Centers for Disease Control and Prevention have announced that the pathogen responsible for SARS is a member of the coronavirus family. SARS appears to be spread by close person-to-person contact and most cases of SARS to date have involved people who cared for or lived with someone with the virus. As of April 28th, nearly 5,200 cases of SARS have been reported in 26 countries with nearly 317 deaths—a morbidity rate of nearly 6%. Compare this to the influenza pandemic of 1918-1919, which had a morbidity rate of less than 1% but managed to kill 20-40 million people worldwide. Over 95% of the known SARS cases are confined to Hong Kong and China. It most likely originated in the Guang Dong Province of China. The other country affected by SARS is Canada, localized in Toronto, where a single person with an inadvertent contact with someone with SARS in Hong Kong may have spread the disease. The virus causing the disease is indiscriminate—it infects young, old, healthy, diseased, males or females. Presently there appears to be no good or reliable treatment for SARS. Coronaviruses have a relatively large genome of nearly 30,000 nucleotides and cause highly prevalent respiratory or enteric diseases in humans and animals. Their name is derived from the viral envelope studded with long petal-shaped spikes—giving the appearance of a crown (corona in Latin). The enveloped, positive-stranded viruses exhibit a high frequency of recombination that may have inadvertently generated a virulent strain that can cross species. A mere four weeks after alarm bells sounded a SARS epidemic, two groups of scientists have determined the complete nucleotide sequence, and have identified an apparently new family of coronaviruses. A Dutch group who injected monkeys with viruses obtained from patients have recreated the disease and fulfilled Koch's postulates. The story is not complete, however, because Canada's main virology laboratory in Winnipeg has found the virus in only 40% of probable and suspected cases. It is possible that there may yet be another accomplice lurking in the background. Epidemics come and go. They will remain a part of our lives—a consequence of globalization and travel. But from every epidemic we can learn lessons. First, the advances in technology have allowed the identification of the pathogen in a few weeks, as compared to the few years that it took to identify the AIDS pathogen. Second, the governments of countries where an epidemic is in the making must be open and forthcoming—treating it as a global issue. Identification of epidemics will require more trained public health personnel and trained epidemiologists. In developing countries where the healthcare systems are often in a wretched state, even a small epidemic can have disastrous consequences. The healthcare professionals in countries with SARS have borne the brunt of the burden and the first casualties were the attending physicians. If we want to live as a global community, with unlimited access of travel to all parts of the world, the developing world will have to shoulder the burden of providing help to improve the healthcare services in the less fortunate places. We cannot ignore it as a problem of a distant land.

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.

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)0.002
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Editorial · Consensus signal: Editorial
Teacher disagreement score0.079
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0010.001

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 head0.073
GPT teacher head0.478
Teacher spread0.405 · 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