Improving Global Public Health Leadership Through Training in Epidemiology and Public Health: The Experience of TEPHINET
Notice bibliographique
Résumé
Field Epidemiology Training Programs (FETPs) and Public Health Schools Without Walls use the “learning while doing” approach to build public health's international capacity.1–9 Under the auspices of the World Health Organization (WHO) and the late Charles Merieux, these programs in 1997 established Training Programs in Epidemiology and Public Health Interventions Network (TEPHINET). The network's mission is to strengthen international public health capacity through initiating, supporting, and networking field-based training programs that enhance competencies in applied epidemiology and public health interventions. Since its inception, TEPHINET has linked professionals to WHO epidemic response and polio eradication teams and has organized “train-the-trainers” workshops and the first global TEPHINET conference, held in Ottawa in April 2000 and hosted by Canada's FETP. This conference, attended by 187 participants from 30 countries, featured 93 trainee papers. Five regional conferences were held in 2001. There are now 30 programs participating in TEPHINET, with 1317 graduates and 428 current fellows, excluding those of the oldest TEPHINET program, the Centers for Disease Control and Prevention's Epidemic Intelligence Service. TEPHINET programs target midcareer professionals working for public health agencies; 46.7% of participants are women, 64% are medical doctors, and 20.3% hold postgraduate degrees in public health. There is a growing interest among ministries of health in establishing new TEPHINET programs. These programs are becoming increasingly recognized as catalysts for strengthening the scientific basis of policy-making through the continuous examination of data available from surveillance systems; their systematic field investigations provide opportunities for training and enable ministries of health to better respond to public health problems. Table 1 ▶ shows the range of problems faced in countries served by TEPHINET programs and the methods used to address them. The vast majority of these problems involve communicable diseases (70.5%), and almost half of the projects use the method of outbreak investigation. By responding to pressing public health problems through field projects, the programs usually provide services to the poorest of the poor. TABLE 1 —Public Health Problem Topics and Methods Reported in Trainee Papers Submitted for Consideration at Scientific Conferences: TEPHINET Programs, 1995–2000 The programs result in improvements in surveillance, disease prevention, and health promotion programs. Consider the following examples. The Mexican and Peruvian programs were central to the response to cholera in the 1990s, which resulted in a 93% decrease in incidence and a remarkably low case-fatality rate (0.7.%) through improved surveillance case management, health education, and sanitation. Systematic studies of nosocomial transmission of blood-borne pathogens (Plasmodium falciparum, Klebsiella pneumoniae) in Saudi Arabia in the 1990s resulted in better infection control practices for preventing catheter-related infections and extrinsic contamination of infusates and led to nationwide recognition of the usefulness of public health surveillance. The Thailand FETP contributed to the establishment of surveillance systems early in the HIV epidemic, which proved critical to characterizing the epidemic and to developing and evaluating interventions. These interventions, in turn, have resulted in a decreasing incidence of HIV since 1994 through increased condom use and through lower rates of sexual intercourse with commercial sex workers among young men. TEPHINET aims to increase its participation in international epidemic and disaster response teams and to collaborate with its partners to train field epidemiologists, which are currently available to only 30% of the world's population. The TEPHINET second global conference, scheduled for June 2–6, 2002 in Madrid, will be hosted by Spain's FETP.
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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 | 0,015 | 0,004 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,001 | 0,000 |
| Bibliométrie | 0,000 | 0,002 |
| Études des sciences et des technologies | 0,000 | 0,001 |
| Communication savante | 0,000 | 0,001 |
| Science ouverte | 0,000 | 0,000 |
| Intégrité de la recherche | 0,000 | 0,001 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,000 | 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 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 ».