MétaCan
Menu
Retour à la cohorte
Enregistrement W2019797186 · doi:10.1126/science.300.5620.701

Lessons from SARS

2003· editorial· en· W2019797186 sur OpenAlexaboutno aff
Barry R. Bloom

Notice bibliographique

RevueScience · 2003
Typeeditorial
Langueen
DomaineMedicine
ThématiqueViral Infections and Outbreaks Research
Établissements canadiensnon disponible
Organismes subventionnairesnon disponible
Mots-clésPandemicPublic healthTransmission (telecommunications)MeaslesIsolation (microbiology)Infectious disease (medical specialty)QuarantineChinaMedicineDiseaseCoronavirus disease 2019 (COVID-19)Economic growthEnvironmental healthVirologyPolitical scienceVaccinationBiologyLaw

Résumé

récupéré en direct d'OpenAlex

I t is the nature of epidemics to be unpredictable. People want answers to some important questions: How serious is severe acute respiratory syndrome (SARS)? Will SARS be contained in Toronto, or Singapore, or China? How far will it spread and how rapidly? What can the global community do to prevent and control future epidemics? Much has been learned from previous infectious disease epidemics and from the current SARS epidemic. In the absence of effective vaccines or drugs, infectious diseases that are spread by the respiratory route—whether the influenza epidemic of 1918 that killed 20 to 40 million people worldwide or measles, which spreads rapidly among children—must be taken very seriously. The key to controlling epidemics is to block the transmission of infection. If public health officials can identify people infected with SARS and isolate them for an appropriate time, the cycle of transmission can be broken. If it is not, there is a possibility that SARS will establish itself in communities, and we will have to cope with it for a long time. Voluntary isolation and quarantine are a great inconvenience for a lot of people, but they are currently our best tools to save lives. Because of the enormous economic and political impact of epidemics, it takes great courage in public health to declare to the world that a country has an epidemic. When the World Health Organization (WHO) recognized in March, after one of its top infectious disease specialists was infected by SARS in Hanoi and died, that there were similar cases in Hong Kong and rumors of more cases in China, it declared a Global Alert for the first time in WHO history. That gave every country in the world time to get prepared for a potential global epidemic. If public health really works well and a health problem is prevented, there is little evidence to show that something important was achieved. When public health officials don't act quickly enough, outbreaks become epidemics. However, when officials warn about a possible epidemic that then fails to spread, billions of dollars may be lost to national economies, as was the case in India with the outbreak of plague in 1994; and public health officials put their own jobs in jeopardy, as we in the United States learned after the swine flu outbreak of 1976. ![Figure][1] Malaysian Muslim students read SARS leaflets. CREDIT: TEH ENG KOON/STR/AP The wrong lesson to be taken from SARS would be to pass new emergency legislation mandating narrowly targeted funding for SARS research and control. In the United States, the Centers for Disease Control and Prevention (CDC) has had to put 300 people funded for other activities to work on SARS; the National Institutes of Health has new funding for infectious disease, but much of it is tied up in research on a long list of predicted bioterrorist agents. Neither organization has the flexibility to use its funds to allocate personnel and resources rapidly to meet ever-changing emerging infections without neglecting other health responsibilities. Unanticipated outbreaks will continue to be a reality, and the world must be ready to move in whatever direction is needed. Infectious diseases do not respect national boundaries. One important implication of September 11, 2001, is that the security of the United States increasingly depends on expertise around the world in identifying potential health threats and in having the scientific capability to address those threats locally. In the 1980s, it took 2 years to identify HIV as the cause of AIDS. In 2003, WHO created an extraordinary network of 13 laboratories in 10 countries, including the CDC, which identified a virus associated with SARS in 2 weeks and had its entire genome sequenced in 2 more. Those labs shared their knowledge in an unprecedented fashion, to the benefit of everyone. In a world that is increasingly angry at the United States, the lesson here is that it is time to support a global war on disease. The United States should be investing efforts and funds to strengthen the health structures in countries around the world. If we were to help train experts in epidemiology and surveillance, strengthen laboratories in key regions and link them to the best labs in this country and around the world, and support WHO, we would help to create a true global health network. This investment would protect our country and every other against global epidemics, save millions of lives, and change the U.S. image from one of self-interest to one of human interest. [1]: pending:yes

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 distillée sur la base complète

Imitation des enseignants

Ni prévalence calibrée, ni vérité terrain. Validation humaine à venir. Apprise à partir de 10 348 étiquettes directes de Codex et de 10 348 étiquettes directes de Gemma. Le mode candidate est l'union des têtes enseignantes seuillées; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont ni des étiquettes humaines ni des étiquettes directes de modèles de pointe.

score de la tête « metaresearch » (Codex)0,001
score de la tête « metaresearch » (Gemma)0,001
Version: codex-gemma-dda1882f352aStatut de validation: machine_predicted_unvalidated
Catégories candidatesaucune
Catégories consensuellesaucune
DomaineSignal candidat: aucune · Signal consensuel: aucune
Devis d'étudeSignal candidat: Sans objet · Signal consensuel: Sans objet
GenreSignal candidat: Éditorial · Signal consensuel: Éditorial
Score de désaccord entre enseignants0,006
Score d'incertitude au seuil0,678

Scores Codex et Gemma par catégorie

CatégorieCodexGemma
Métarecherche0,0010,001
Méta-épidémiologie (sens strict)0,0000,000
Méta-épidémiologie (sens large)0,0000,000
Bibliométrie0,0000,001
Études des sciences et des technologies0,0000,001
Communication savante0,0000,000
Science ouverte0,0000,000
Intégrité de la recherche0,0000,001
Charge utile insuffisante (le modèle a refusé de juger)0,0000,001

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 Opus0,039
Tête enseignante GPT0,422
Écart entre enseignants0,383 · 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 tête enseignante, pas un consensus.

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

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

En bref

Citations41
Publié2003
Routes d'admission1
Résumé présentoui

Explorer davantage

Même revueScienceMême sujetViral Infections and Outbreaks ResearchTravaux en français237 207