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Enregistrement W1707012735

Openness is key in fight against disease outbreaks.

2006· article· en· W1707012735 sur OpenAlexaboutno aff
William J. Burns

Notice bibliographique

RevuePubMed · 2006
Typearticle
Langueen
DomaineMedicine
ThématiqueData-Driven Disease Surveillance
Établissements canadiensnon disponible
Organismes subventionnairesnon disponible
Mots-clésOutbreakPublic healthCommunicable diseasePreparednessMedicinePolitical scienceLawVirologyNursing
DOInon disponible

Résumé

récupéré en direct d'OpenAlex

When pneumonic plague struck Surat, Gujarat, India in 1994, thousands of people panicked and fled city. We were sitting in Ottawa watching CNN showing pictures of people fleeing, said Dr Ron St John, Director-General of Centre for Emergency Preparedness and Response at Public Health Agency of Canada, recalling how news media were first source of information on outbreak for public health officials, including those at WHO. The slow response to that outbreak and an Ebola outbreak in Kikwit in Democratic Republic of Congo following year led to panic and unnecessary deaths. We had no capacity to respond to outbreaks on our own, or even to deal with information coming in. All we had was a fax machine. The switchboards at WHO were completely overwhelmed, said Dr David Heymann, acting Assistant Director-General for Communicable Diseases and WHO Director-General's Representative for Pandemic Influenza. New techniques were clearly needed to respond to disease threats, such as pandemic influenza, that could kill millions. In 1996, then director-general, Dr Hiroshi Nakajima, asked Heymann to set up a new emerging infectious disease programme to deal with outbreaks. In age of real-time electronic media and television, journalists became a vital source of instant information that public health authorities could use to detect outbreaks, in addition to information from governments, nongovernmental organizations and health-care workers, said Dr Thomas Grein, Medical Officer, Alert and Response Operations at WHO. The question was: how to search through maze of thousands of reports filed by journalists every day? The answer came from Canada. St John linked up with Dr Rudi Nowak from Health Canada, Canadian health ministry, and they proposed development of a computerized system that would collect raw news feeds from international news agencies such as Agence France Presse, Associated Press and Reuters, and scan these feeds automatically to find news of disease outbreaks. Development work on software began in 1997 funded by a Canadian government grant of 800 000 Canadian dollars (US$ 500 000 at time). The news filtering system St John and Nowak developed, known as Global Public Health Intelligence Network (GPHIN, pronounced G-finn), went live in 1999 and scanned news feeds in English and French. We were astounded at how much information we could get, said St John, adding that system collects thousands of reports everyday. But information had to be verified, and incorrect information discarded. Nowak came to WHO in Geneva for two years to work with Heymann, Dr Guenael Rodier, Special Adviser for Communicable Diseases to Regional Director, WHO Regional Office for Europe, and Dr Mike Ryan, Director of Department of Epidemic and Pandemic Alert and Response, in establishing a team that would be responsible for verification. Every weekday morning at 9am about 20 members of that team meet in Strategic Health Operations Centre, nicknamed the SHOC room, at WHO's headquarters, to discuss outbreak reports that have come in and which ones need to be verified, by contacting WHO country offices, which, in turn, contact their host governments. The reports are also analysed by relevant crisis centres set up at WHO's regional offices. Ryan and his team set up Global Outbreak Alert and Response Network of 126 institutions across globe. Its experts can be despatched to field, where they work together with WHO staff from regional offices and headquarters to stem any outbreaks. Before WHO and other subscribers receive reports from GPHIN, these have been screened by a team of eight public health specialists in Canada. The SHOC was opened in May 2004 with funding from United States. After death of WHO's Director-General Dr LEE Jong-wook in May 2006, it was renamed JW Lee Centre for Strategic Health Operations. …

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)0,010
score de la tête « metaresearch » (Gemma)0,023
Version: metacan-v3-hybrid-931329e0061cStatut de validation: machine_predicted_unvalidated
Catégories candidatesScience ouverte
Catégories consensuellesaucune
DomaineSignal candidat: aucune · Signal consensuel: aucune
Devis d'étudeSignal candidat: Sans objet · Signal consensuel: Sans objet
GenreSignal candidat: Commentaire · Signal consensuel: Commentaire
Score de désaccord entre enseignants0,999
Score d'incertitude au seuil0,137

Scores du classifieur distillé par catégorie (deux têtes)

CatégorieCodexGemma
Métarecherche0,0100,023
Méta-épidémiologie (sens strict)0,0010,000
Méta-épidémiologie (sens large)0,0010,001
Bibliométrie0,0010,001
Études des sciences et des technologies0,0050,009
Communication savante0,0120,015
Science ouverte0,0010,011
Intégrité de la recherche0,0050,009
Charge utile insuffisante (le modèle a refusé de juger)0,0410,016

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 Opus0,013
Tête enseignante GPT0,221
Écart entre enseignants0,208 · 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.

Devis d'étudeSans objet
Domainenon disponible
GenreCommentaire

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

En bref

Citations8
Publié2006
Routes d'admission1
Résumé présentoui

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