Importance of the animal/human interface in events of international concern for the Americas
Notice bibliographique
Résumé
Background: Diseases have increased their potential to cross geopolitical boundaries through international travel and trade. Zoonoses represent 75% of human pathogens emerging during the past decade. The International Health Regulations (IHR) are a binding global legal instrument that includes all the World Health Organization (WHO) Member States, which aim to ensure public health through prevention and respond to acute public health risks. The objective of this study is to understand the importance of diseases common to man and animals in events of public health importance reported to, or identified for follow up by the Organization, in an effort to reduce the risk of infectious diseases at the human/animal interface. Methods: This study analyzes events recorded in the databases for the Americas region from the implementation of the IHR (June 2007) until the end of 2008. The main source of data was the WHO Event Management System (EMS). The criterion for inclusion in human/animal interface was, “considered a zoonoses or communicable disease common to man and animals,” using the third edition of the book, Zoonoses and Communicable Diseases Common to Man and Animals published by the Pan American Health Organization. Subgroups were also created and percentages were calculated. Results: During the period studied, 110 events were recorded in the EMS for the region of the Americas. 86/110 were communicable diseases. Among these, 77/110 (70.0%) were zoonoses and communicable diseases common to man and animals (human/animal interface); 9/110 (8.2%) were considered not common to animals; 16/110 (14.5%) were syndromes with unknown etiologies; 8/110 (7.3%) were related to products. Among the 77 events considered human/animal interface related, 48 were designated “substantiated” at time of event closure. Conclusion: This analysis demonstrates approximately 70% of events are either zoonoses or communicable diseases common to man and animals, confirming previous publications and the importance of the animal/human interface. Analysis also supports “One World, One Health” framework, and the necessity of collaboration between science and other sectors. An early warning system that quickly identifies events that pose a risk to international public health may also support the countries in identifying events that are exceeding expected numbers and require an emergency response. Abstracts for SupplementInternational Journal of Infectious DiseasesVol. 14Preview Full-Text PDF Open Archive
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 enseignantsNi 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.
Scores du classifieur distillé par catégorie (deux têtes)
| Catégorie | Codex | Gemma |
|---|---|---|
| Métarecherche | 0,001 | 0,003 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,000 | 0,000 |
| Bibliométrie | 0,003 | 0,003 |
| Études des sciences et des technologies | 0,000 | 0,000 |
| Communication savante | 0,001 | 0,001 |
| Science ouverte | 0,000 | 0,001 |
| Intégrité de la recherche | 0,000 | 0,000 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,002 | 0,000 |
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.
score_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 découleClassification
machine, non validéePrédiction automatique; un appel candidat d’une seule source (Gemma direct ou Codex distillé), pas un consensus.
Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».