Illness and Injury to Travelers and Access to Dental Care on a Research Expedition to Mongolia
Notice bibliographique
Résumé
BACKGROUND: Expeditions provide an opportunity for travelers to undertake specialized travel to more extreme destinations in the security of an expeditionary group with medical coverage. Little is known about the illnesses and injuries occurring to expeditioners in Mongolia or access to dental care in the local population. This study was designed to investigate the prevalence of health problems suffered by travelers and managed among the local population on a research expedition to Mongolia. METHODS: In June 2005, the expedition physician (MTMS) and dentist (DD) prospectively diagnosed and recorded all illnesses and injuries among 16 travelers (eight males and eight females) as well as any indigenous people on a 22-day paleontological expedition to the Mongolian Gobi Desert. RESULTS: There were 53 health presentations and 14 dental problems among the indigenous population and the Mongolian escort. Males and females presented in equal proportions with the average age of 49 years (SD = 16). Presentations involved locomotor/accident (32%), dermatological (23%), gastrointestinal (19%), neurological (17%), psychological (6%), and with other systems (11%). Most accidents were due to lacerations (85%). Presentations were highest on days 4 and 5 (10% or 18%). Females were significantly more likely to present later in the expedition (p= 0.013). One quarter (25%) were handled conservatively with 28% requiring topical treatments with others requiring antiemetics (9%) and anti-inflammatory drugs (4%). There were no dental concerns reported among the expeditioners, although there were 14 cases among the indigenous population. While there were no deaths on the expedition, there were two major incidents, one of which required emergency evacuation. CONCLUSIONS: The health problems encountered were largely similar to those reported for other expeditions. The most common problems included trauma as well as dermatological, dental, gastrointestinal, and neurological conditions. It is important that expedition teams are prepared to manage common problems, such as trauma and dental lesions.
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 | 0,000 |
| 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 | 0,000 | 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 | 0,000 |
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 ».