Status of Road Safety and Injury Burden
Notice bibliographique
Résumé
THE INCIDENCE OF RTAS AND THE ASSOCIATED FATALITIES Within the past 3 decades, there have been 1 million Road Traffic Accidents (RTAs) mortalities in Brazil.1 Recent data indicate that 150,000 individuals die or sustain serious injuries because of these accidents annually.2 In Brazil, pedestrians, motorcyclists, and vehicle conductors are greatly overrepresented among accident victims. Most notably, the last decade witnessed a striking increase of motorcycle accidents, resulting in a 7-fold increase in mortality rates (0.09–0.76 per million individuals) when compared with a more stable trend in the vehicle (0.46–0.61 per million individuals) and a decrease in the pedestrian deaths (15.7–6.5 per million individuals).2 In fact, half of all the Road Traffic Accidents in Brazil are now attributed to motorcycles. The high number of Road Traffic Accidents in Brazil can be in part explained by the increased vehicle fleet, which rose between 1.3- and 1.6-fold over the last decade. Motorcycles comprise nearly 1/5 of the total vehicle fleet, which represented a 75% increase between 2001 and 2005.2 DISEASE BURDEN DUE TO RTAS: THE ORTHOPAEDIC TRAUMA PERSPECTIVE There is a paucity of reliable prospective data from orthopaedic trauma centers on Road Traffic Accidents in Brazil. As an example, Brazilian hospital records indicate that there are 120,000 admissions each year due to Road Traffic Accidents. Of these admissions, 1500 resulted in limb amputations and 500 involved severe spine injuries, both of which result in very poor long-term health and social outcomes for victims.1 Numerous studies suggest that motorcyclists are the most susceptible to significant trauma, including lower extremity fractures, which are open injuries 50% of the time. Furthermore, 12% of motorcyclists had consumed alcohol when the injury occurred.3,4 COSTS OF RTAS IN BRAZIL Within 2012, Road Traffic Accidents injuries directly cost the health care system approximately 110 million dollars.2 Although these costs are quite staggering, it is important to highlight the significant indirect costs, which actually comprise a greater proportion of the total economic burden of Road Traffic Accidents in Brazil.5,6 Notably, workforce loss comprises 42.8% of the economic burden of Road Traffic Accidents, whereas material (vehicle) losses are associated with 28.8%. Direct costs through health care expenditures represent 13.3% of the economic burden of Road Traffic Accidents in Brazil. However, these data are likely underestimates because minor injuries are excluded from this analysis and the investigators did not account for the private health system, which provides 20% of the health care for Brazilians.1 NATIONAL RESPONSE TO THE RTA BURDEN IN BRAZIL: DRINKING AND DRIVING Drinking and driving has been prohibited in Brazil since 2008. Subsequent to this, studies revealed an important decrease in injury patterns.6–8 Most recently, in January 2013, Brazil adopted a zero-tolerance “dry law” regarding the consumption of alcohol while driving and has set the maximum blood alcohol level at 0.2 g/L.7,8 The penalty for exceeding this limit is proportional to how far above the limit the driver is and can include suspension or prison. FUTURE OUTLOOK AND INITIATIVES Despite the success of these initiatives, RTAs remain a priority area for intervention within Brazil. Indeed, 2012 data demonstrate that given the increase in the number of drivers and vehicles on the roads in Brazil, the number of RTAs has not decreased as hoped; instead, it has remained constant.9,10 For the orthopaedic perspective, efforts to reduce RTAs should include public education, development of an efficient emergency care system, and strict transit policies. Road safety and infrastructure that support safer roads and the protection of pedestrians and cyclists are critical steps to improvement.11
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) | 0,001 | 0,000 |
| Méta-épidémiologie (sens large) | 0,001 | 0,001 |
| Bibliométrie | 0,004 | 0,005 |
| Études des sciences et des technologies | 0,001 | 0,001 |
| Communication savante | 0,002 | 0,002 |
| Science ouverte | 0,001 | 0,002 |
| Intégrité de la recherche | 0,001 | 0,001 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,013 | 0,002 |
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 ».