Notice bibliographique
Résumé
Current Opinion in Infectious Diseases was launched in 1988. It is part of a successful series of review journals whose unique format is designed to provide a systematic and critical assessment of the literature as presented in the many primary journals. The field of infectious diseases is divided into 11 sections that are reviewed once a year. Each section is assigned a Section Editor, a leading authority in the area, who identifies the most important topics at that time. Here we are pleased to introduce the Section Editors for this issue. SECTION EDITORS José G. MontoyaJosé G. MontoyaDr Montoya is originally from Cali, Colombia and completed his medical degree with honors at Universidad del Valle. He trained in Internal Medicine at Tulane University. He completed his fellowship in Infectious Diseases at Stanford University under the mentorship of Dr Jack S. Remington. Dr Montoya is currently Professor of Medicine, Division of Infectious Diseases, at Stanford University School of Medicine: https://med.stanford.edu/profiles/Jose_Montoya. He is the Director of the National Reference Laboratory for Toxoplasmosis in the United States at the Palo Alto Medical Foundation in Palo Alto, California: http://www.pamf.org/Serology/. He is the founder of the Immunocompromised Host Service at Stanford Hospital. He was elected Fellow of the American College of Physicians (FACP) and Fellow of the Infectious Diseases Society of America” (FIDSA) for having achieved professional excellence in Infectious Diseases. His research interests include toxoplasmosis, infection in immunocompromised hosts and chronic unexplained illnesses likely triggered or aggravated by infection. Trish M. PerlTrish M. PerlDr Perl is a Professor in the Departments of Medicine (Infectious Diseases) and Pathology at Johns Hopkins University School of Medicine in Baltimore, Maryland, USA and in the Department of Epidemiology at the Johns Hopkins Bloomberg School of Public Health, USA. She is Senior Epidemiologist for Johns Hopkins Medicine in Baltimore, Maryland and Florida, USA. Dr Perl received her Bachelor of Arts and medical degree from the University of North Carolina at Chapel Hill, USA, and a Master of Science degree from McGill University in Montreal, Canada. She completed an internship, residency, and fellowship in internal medicine at McGill University (Royal Victoria Hospital) in Montreal and a fellowship in infectious diseases and clinical epidemiology at the University of Iowa Hospitals and Clinics in Iowa City, Iowa, USA. She was the hospital epidemiologist of the Johns Hopkins Hospital between 1996 and 2010. She has extensive practical and research experience in the field of healthcare associated infections and resistant organisms and is world renowned for her innovation and research in the field and the use of research knowledge in the healthcare setting. Dr Perl was the 2006 President of the Society of Hospital Epidemiologists of America (SHEA). In the past, she has served on advisory panels for the Institute of Medicine (IOM), the Centers for Disease Control (CDC) and World Health Organization (WHO) and has been a consultant to the National Institutes of Health (NIH) and Agency for Healthcare Research and Quality (ARHQ). An active researcher, Dr Perl has been a principal and co-principal investigator for studies on healthcare associated infections, bioterrorism syndromic surveillance, respiratory infections and antimicrobial resistance for the Centers for Disease Control and Prevention. She has authored or coauthored over 220 peer-reviewed articles. In addition, she has written multiple chapters and contributed to guidelines and policies relevant to healthcare associated infections at the institutional, state and federal level. Dr Perl has been funded by the Centers for Disease Control and Prevention, the Veteran's Affairs Administration and Industry over the years. Her scientific interests encompass emerging diseases and planning in healthcare facilities for their management, syndromic surveillance, respiratory infections, healthcare associated infections including surgical site infections, Clostridium difficile, emerging infection prevention and interventions to prevent, the transmission of epidemiologically significant organisms, and patient and healthcare worker safety. She is committed to training fellows and others with interests in healthcare epidemiology and has begun working in the developing world to help promote the science and discovery in infection prevention.
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 enseignantsNi 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.
Scores Codex et Gemma par catégorie
| Catégorie | Codex | Gemma |
|---|---|---|
| Métarecherche | 0,000 | 0,002 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,000 | 0,000 |
| Bibliométrie | 0,000 | 0,000 |
| Études des sciences et des technologies | 0,001 | 0,000 |
| Communication savante | 0,000 | 0,000 |
| Science ouverte | 0,000 | 0,000 |
| Intégrité de la recherche | 0,000 | 0,000 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,000 | 0,001 |
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.
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 tête enseignante, 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 ».