Don't Catch the Killer: Meningococcal Disease: A Guide for Students
Notice bibliographique
Résumé
Meningococcal disease is a serious illness caused by bacteria that infect the blood (meningococcal septicemia) or membranes surrounding the brain and spinal cord (meningococcal meningitis). This infection most often affects young adults living in close quarters. The goal of this video is to communicate to students and young people aged fifteen to twenty-five the seriousness of meningococcal disease and the ways to prevent it or identify it early enough for treatment. The video is sponsored by the Amanda Young Foundation. Amanda Young was an Australian teenager who died of meningococcal disease. As representatives of the foundation, both of her parents speak in the video about how quickly she was taken by the disease. Young Australian men and women whose lives have been impacted by meningitis deliver the key messages of prevention and early identification. The accents of the presenters and some Australian terminology may make it difficult for US audiences to decipher all of the dialogue. Key information is presented in captions to the narratives of the speakers and on separate screens of white text on a black background. The visual effect is stark, emphasizing the seriousness of the message. The effects of meningococcal disease include neurological sequelae such as hearing loss, speech disorders, loss of limbs, brain damage, and paralysis. Images of the amputations and scarring resulting from meningococcal septicemia reinforce the threat of these severe effects. The emphasis on prevention provides strategies for avoiding exposure especially in social settings. Early identification and treatment are essential; offered guidance includes summaries of the possible symptoms and suggestions of ways to get people involved in monitoring an ill individual. The section “Does Doctor Know Best?” emphasizes getting to a provider early and being assertive with health care practitioners. The students share stories of being told that they have a virus or having the diagnosis missed by physicians. The important role of patient and family advocacy comes through clearly. The medical spokesperson in the video is Clay Golledge, senior consultant in clinical microbiology and infectious diseases at the Sir Charles Gairdner Hospital in Perth, Australia, and medical director of the Meningococcal Foundation of Australia. Golledge presents data on the prevalence of groups B, C, and Y and other meningococcal disease in the United States, Canada, and Australia. The video does not deliver any message about the importance of meningococcal vaccination as a prevention strategy; it simply states that a vaccine is available against meningococcal disease group C, but none against group B. The final screens list Websites in the United States, Canada, and Australia as sources of additional information. This video appears to be unique in its efforts to appeal directly to a student audience. The compelling and disturbing stories of these young people will likely reach a wide audience. The message of prevention and early identification of meningococcal disease could be more effectively disseminated had the video provided a greater diversity of speakers and situations. Other videos on meningococcal disease target health professionals as their primary audience, such as Fighting Meningococcal Disease, another video available from Aquarius Health Care Videos reviewed in this issue.
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 | 0,005 |
| Méta-épidémiologie (sens strict) | 0,002 | 0,001 |
| Méta-épidémiologie (sens large) | 0,001 | 0,000 |
| Bibliométrie | 0,001 | 0,000 |
| Études des sciences et des technologies | 0,003 | 0,001 |
| Communication savante | 0,003 | 0,005 |
| Science ouverte | 0,002 | 0,005 |
| Intégrité de la recherche | 0,004 | 0,005 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,102 | 0,097 |
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 ».