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Enregistrement W1506484293 · doi:10.1590/s0042-96862003000800014

How SARS changed the world in less than six months.

2003· article· en· W1506484293 sur OpenAlexaboutno aff
Fiona Fleck

Notice bibliographique

RevuePubMed · 2003
Typearticle
Langueen
DomaineMedicine
ThématiqueViral Infections and Outbreaks Research
Établissements canadiensnon disponible
Organismes subventionnairesnon disponible
Mots-clésOutbreakChinaSocioeconomicsMedicineGeographyPandemicCoronavirus disease 2019 (COVID-19)DemographyDiseaseInfectious disease (medical specialty)VirologyPathologyArchaeology

Résumé

récupéré en direct d'OpenAlex

The global outbreak of severe acute respiratory syndrome (SARS) can be traced to one man and one night he spent in a Hong Kong hotel on 21 February 2003. Scientists are still baffled as to how Dr Liu Jianlun, a 64-year-old medical doctor from Chinas Guangdong province, where the mysterious virus originated, could have transferred to at least 16 other guests on the same floor during his brief stay. But there is no doubt those travellers fanned out across the triggering outbreaks in Singapore, Toronto in Canada, and Hanoi in Viet Nam as well as in Hong Kong itself. In less than four months, some 4000 cases and 550 deaths of outside China and Taiwan can be traced to Dr Jianlun's visit to Hong Kong; the Metropole Hotel is considering turning the ninth floor (he stayed in room 911) into a museum; and has proved that the worst-case scenario long mooted by infectious disease experts can come true; but also that such an outbreak, for all its speed and force, can be contained. has travelled more widely, swiftly and lethally than any other recent new disease so far. Near the end of June 2003, the total of cases was 8456 in 30 countries and areas, 809 of which had resulted in death. HIV/AIDS took two decades to cover the globe, owing partly to its incubation period of up to 10 years. Ebola, which has caused periodic outbreaks in Africa since 1976, and two new Asian diseases, caused by the Nipah and Hendra viruses, have not travelled extensively, in the case of Ebola, this is because the patient quickly becomes much too ill to travel; and for Nipah and Hendra it is because neither virus established efficient human-to-human transmission. SARS is the first new disease to show the damage possible in a globalized world, said Mary Kay Kindhauser, who writes updates for the WHO website, adding that has made people take the infectious diseases threat more seriously and made them realize that in today's closely interconnected and highly mobile every country is vulnerable. Rapid international travel helped to spread, but rapid communications helped to contain it. WHO issued its first of two global alerts on 12 March, after 55 cases of the new disease had been identified. Heightened awareness facilitated the early detection and isolation of. suspected cases, and a virtual lab network identified the coronavirus within a month. WHO's second alert, on 15 March, called the disease Severe Acute Respiratory Syndrome for the first time, and issued an emergency advisory notice for travellers and airlines. The warning made headlines across the world as authorities scrambled to contain the disease or prevent outbreaks from imported cases. Some were better prepared than others. After anthrax was distributed through the US postal service by suspected bioterrorists following the September 2001 attacks, the United States was ready to react and has had few cases and no deaths. Chinas failure to admit the true extent of the outbreak drew severe criticism from governments and flora WHO's Director-General Gro Harlem Brundtland. China has been hardest hit to date (24 June), with 5327 cases and 348 deaths reported from throughout the mainland. Beijing and Guangdong were the most severely affected, with 4033 of these cases and 250 of the deaths. But it took two months--after explosive outbreaks in Hong Kong, Singapore, Hanoi and Toronto, and the spread of exported cases to every continent--for China, under mounting international pressure, to allow WHO epidemiologists to enter Guangdong province on 3 April to assess the situation there and determine that the outbreak of atypical pneumonia was indeed SARS. …

Récupéré en direct depuis OpenAlex et désinversé. Les résumés ne sont pas conservés dans cette base de données : les index inversés représentent 8,6 Go des 9,3 Go de texte de la base, et le serveur dispose de 13 Go libres.

Comment cette classification a été obtenuedéplier

Prédiction machine sur la base complète

Imitation des enseignants

Ni prévalence calibrée, ni vérité terrain. Validation humaine à venir. Le volet Gemma est une étiquette directe du modèle pour chaque travail de la base, lue sur la notice réduite au titre. Le volet Codex est un classifieur appris des 10 348 étiquettes directes de Codex et calibré sur les taux pondérés de l'échantillon; les champs sans appui suffisant ne portent aucun appel Codex. Le mode candidate est l'union des deux volets; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont pas des étiquettes humaines.

score de la tête « metaresearch » (Codex)0,002
score de la tête « metaresearch » (Gemma)0,007
Version: metacan-v3-hybrid-931329e0061cStatut de validation: machine_predicted_unvalidated
Catégories candidatesaucune
Catégories consensuellesaucune
DomaineSignal candidat: aucune · Signal consensuel: aucune
Devis d'étudeSignal candidat: Observationnel · Signal consensuel: aucune
GenreSignal candidat: Empirique · Signal consensuel: aucune
Score de désaccord entre enseignants0,015
Score d'incertitude au seuil0,051

Scores du classifieur distillé par catégorie (deux têtes)

CatégorieCodexGemma
Métarecherche0,0020,007
Méta-épidémiologie (sens strict)0,0010,000
Méta-épidémiologie (sens large)0,0010,001
Bibliométrie0,0010,001
Études des sciences et des technologies0,0030,002
Communication savante0,0060,006
Science ouverte0,0010,003
Intégrité de la recherche0,0040,007
Charge utile insuffisante (le modèle a refusé de juger)0,0150,008

Scores machine (provisoires)

Les deux têtes enseignantes du modèle étudiant, lues sur ce travail. Un score ordonne la base pour la relecture; il n'affirme jamais une catégorie, et le statut de validation accompagne chaque rangée tel quel.

Scores de référence d'un modèle non mature (critères de maturité non atteints, 7 itérations). Un score ordonne; il n'affirme jamais une catégorie.

Tête enseignante Opus0,076
Tête enseignante GPT0,296
Écart entre enseignants0,220 · la distance entre les deux têtes enseignantes sur ce seul travail
Statut de validationscore_only:v0-immature-baseline · tel quel depuis la passe de notation : score_only signifie que le nombre peut ordonner les travaux, et qu'aucune étiquette de catégorie n'en découle

Classification

machine, non validée

Prédiction automatique; un appel candidat d’une seule source (Gemma direct ou Codex distillé), pas un consensus.

Les modèles n’ont appliqué aucune catégorie : rien dans la taxonomie ne correspondait à ce travail.
Devis d'étudeObservationnel
Domainenon disponible
GenreEmpirique

Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».

En bref

Citations27
Publié2003
Routes d'admission1
Résumé présentoui

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