The Burden of Road Traffic Injuries in Iran and 15 Surrounding Countries: 1990-2016.
Notice bibliographique
Résumé
BACKGROUND: The Global Burden of Disease (GBD) Study provides estimates of deaths, years of life lost (YLL), years of life lived with disability (YLD), and disability-adjusted life years (DALYs) due to 249 causes of death, 315 diseases and injuries, and 79 behavioral, environmental, occupational, and metabolic risk factors in 195 countries, territories, and regions by sex and 20 age categories in 195 countries and regions since 1990. In this study, we aimed to present the burden of road traffic injuries (RTIs) in Iran and 15 surrounding countries in 1990-2016. METHODS: The standard Cause of Death Ensemble modeling (CODEm) is used to estimate deaths due to all causes of injury by age, sex, country and year. A range of 27 causes is used for estimating non-fatal health outcomes based on inpatient and outpatient datasets using DisMod-MR 2.0. Disability-adjusted life years (DALYs) estimate quantify the total burden of years lost due to premature death or disability and was computed by summing the fatal burden and non-fatal burden associated with a cause (i.e., YLL+YLD). RESULTS: In 2016, age-standardized transport injuries in Iran accounted for 35.6 (UI: 29.64-43.44) deaths per 100000 compared to 60.8 (UI: 51.04-72.49) in 1990. Transport injury became the fourth leading cause of death in Iran in 2016, up from the 5th leading cause of death in 1990. The burden of RTIs was mainly caused by motor vehicles and motorcycles and mostly affected the economically productive age groups (15-49), males and children, especially those at school age. Afghanistan with 59.14 deaths (52.09-66.8) and UAE with 53.71 deaths (36.59-72.77) had the largest transport injury death rates per 100000. From 1990 to 2016, Iran had -2.06 annual percent change in transport death rates. The lowest annual percent change is reported for Turkmenistan at -3.43. While Pakistan, UAE and Qatar had the highest annual percent change in transport injury. Across all countries, the observed-to-expected ratios for transport injury death rates varied considerably in 2016.The UAE had the largest age-standardized ratios of observed-to-expected rate (2.93), followed by Oman (2.39), Saudi Arabia (2.23), Afghanistan (2.04) and Iran (1.95). CONCLUSIONS: RTIs continue to be a public health burden in Iran and its neighboring countries, even though, there is evidence for decline in RTIs across all countries except Pakistan. The most frequent sub-causes of death and injury are the motor vehicle, motorcycle, and pedestrian injuries. The most vulnerable road users are children and young adults.
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 ».