Notice bibliographique
Résumé
Although more than 10 years have elapsed since the appearance of severe acute respiratory syndrome (SARS), this ‘first pandemic of the 21st century’ has left a lasting legacy because of its spread by travelers. The International Health Regulations (IHR) were re-formulated in 2005, and along with changes in mobile computing technology and social media, has led to greater transparency and faster information sharing of health events important to travel medicine and travelers. Emerging infections continue to be a concern for travelers with numerous events highlighted in the media and public health literature during 2013 and 2014. In 2013, there was heightened international concern over travel-associated cases of Middle East respiratory syndrome (MERS) coronavirus infections in the United Kingdom, France, Italy and countries in the Middle East. Avian influenza A (H5N1) continues to simmer in Southeast Asia with sporadic cases reported, including a recent travel-associated fatal infection of a person in Canada who had returned from Beijing, China. However, the situation to watch in 2014 is the rise of avian influenza A (H7N9) in China, with over 200 cases of H7N9 reported during the current 2013-2014 Northern Hemispheric winter. There has also been an alarming rise and spread of vectorborne infections including the large dengue outbreak in Southeast Asia in 2013, the spread of chikungunya to the Caribbean and travel-acquired Zika infections in Thailand and French Polynesia. Travelers play an important role in the spread of emerging and re-emerging infections. International travel has become more affordable as compared to 10 to 20 years ago. Global travel volume is estimated at over a billion individuals crossing an international border annually and is projected to increase. Although emerging infections remain relatively rare occurrences, these low-probability but highimpact events are another factor that travel-medicine practitioners need to be aware of, as the cumulative global risk increases. Several categories of travelers are potentially at higher risk of certain infections. Travelers visiting friends and relatives (VFR) and long-term travelers have higher exposures to vector-borne infections such as malaria, and are less likely to take health precautions before and during their residence abroad. These categories of travelers may be important groups that need to be reached with pre-travel advice. Immigrants and migrant workers who return from lower-income countries to visit friends and relatives may also introduce vector-borne infections such as chikungunya into new geographic locations that did not have prior endemic infection. As a clinician, how do we prepare travelers for these unpredictable events? We do know that most emerging infections have zoonotic origins and many have viral pathogens as etiologic agents. The primary routes of transmission include contact with animals, mosquito bites and respiratory exposure to infected persons. This can form the basis for advice to travelers who want to take the appropriate precautions, and provide targeted screening criteria for ill travelers returning from outbreak-affected areas. For example, travelers to China should be advised to avoid contact with poultry to minimize their risk of acquiring avian influenza, and those going to the Middle East should understand that current medical knowledge indicates that camels and bats are potential animal reservoirs or intermediaries for MERS-CoV infection. Travel is also associated with clusters of re-emerging, vaccinepreventable infections, ranging from measles to pertussis. Migrant populations often contain large groups of individuals who may be susceptible to infections due to a variety of reasons including socioeconomic and cultural barriers to care. Concerns about vaccines’ adverse effects also lead individuals to opt out of immunizations, but travel may expose these persons to infectious risks. This presents another challenge to travel medicine clinicians who already provide advice for common health risks such as travelers’ diarrhea, and clinicians must remain current on guidelines for more esoteric vaccines such as Japanese encephalitis, yellow fever or rabies. Various national or international websites such as the Centre for Disease Control and Prevention (CDC), European Centres for Disease Control (ECDC), National Travel Health Network and Centre (NaTHNAC) and WHO are of great benefit and provide resources to guide practice. Travel medicine
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) | 0,001 | 0,000 |
| Bibliométrie | 0,000 | 0,000 |
| Études des sciences et des technologies | 0,000 | 0,002 |
| Communication savante | 0,000 | 0,000 |
| Science ouverte | 0,000 | 0,000 |
| Intégrité de la recherche | 0,001 | 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 ».