The impact of non-pharmaceutical COVID-19 interventions on collisions, traffic injuries and fatalities across Québec
Notice bibliographique
Résumé
• COVID-19 prompted jurisdictions to curb down contagion by introducing multiple non pharmaceutical measures. • Road safety research has consistently shown the protective effects of these measures on traffic injuries and fatalities. • For the province of Quebec we introduce a unique non pharmaceutical COVID index, which considers 58 interventions. • Analyses demonstrate that the combination of COVID measures had uneven effects across regions. • We propose three research areas to build a deeper understanding of how non pharmaceutical COVID-19 interventions may have impacted road safety. The association between non-pharmaceutical COVID-19 (NP-COVID-19) interventions, which aimed to regulate public behaviour to curb the spread of COVID-19, and road safety has become an important area of research to explore the unintended consequences of this pandemic. This study focuses on the 17 regions of the province of Quebec in Canada to assess the relation of NP-COVID-19 interventions on collisions, light and severe injuries, and traffic fatalities. Interrupted time-series analyses were conducted from 2015 to 2022, using daily traffic fatality and injury data per 100 000 population. A COVID-19 NP interventions index for Québec (QCnPI-Index) was created based on 58 interventions implemented from March 2020 to June 2022 in each region. Multiple controls commonly used in the road safety literature, such as weather conditions and seasonal patterns, were applied. The association between the QCnPI-Index and the four outcomes was mixed. First, the QCnPI-Index was associated with considerable reductions for collisions and light injuries in all regions. Significant reductions in severe injuries were linked to the index across six regions: Montérégie, Laurentides, Lanaudière, Laval, Outaouais and Montréal. No concomitant changes were observed in traffic fatalities across any region. Findings underscore the complex relationship between NP-COVID-19 interventions and road safety, emphasizing the need for more comprehensive efforts to understand their diverse effects. Further investigation is warranted to comprehend the discrepancy in the reduction of injuries and collisions compared to fatalities. This study ultimately highlights the importance of continuing exploring in future research additional factors, such as road safety interventions during COVID-19 periods, and concentrating on pedestrians and cyclists, to better understand the impact of NP-COVID-19 interventions on other road safety dimensions.
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 | 0,001 | 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 | 0,001 | 0,001 |
| Communication savante | 0,000 | 0,000 |
| Science ouverte | 0,000 | 0,000 |
| Intégrité de la recherche | 0,000 | 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 ».