The motorcycle deaths to passenger car deaths ratio and economic performance: A panel data analysis

Motorcycle-Associated Ocular Injuries: A Narrative Review

Purpose

Motorcycle-related injuries involving the eye and orbit are not well characterized, with a paucity of prospective studies focusing specifically on motorcycle-associated eye injuries nor literature reviews having been conducted on the subject. To better understand the injury types and descriptive characteristics of patients experiencing motorcycle-associated eye injuries, we sought to conduct a narrative review.

Methods

The research team utilized the following databases: PubMed, EMBASE, and Web of Science to query for English articles from peer-reviewed journals that provided some patient data regarding eye injury due to motorcycle or moped accidents or usage.

Results

A total of 65 studies were included in our qualitative synthesis. Of these studies, 40 (61.5%) were case reports, 20 retrospective case series (30.8%), and five (7.69%) were observational prospective studies. Among the 25 retrospective and prospective studies, 12 (48.0%) of these studies primarily focused on motorcycle-associated injuries. These 65 studies described a wide variety of motorcycle-associated eye injuries, including but not limited to orbital fractures and associated sequelae, foreign bodies, vitreoretinal trauma, neuro-ophthalmic trauma, corneal injuries, open globe injuries, lacerations, and globe avulsions.

Conclusion

The current state of the literature indicates that knowledge regarding the ocular manifestations of motorcycle accidents is limited to mostly case reports and few retrospective cohort studies focused specifically on motorcycle-associated eye injuries. However, it is evident that the types of motorcycle-associated eye injuries are legion and predominantly seen in adult males, potentially leading to severe injuries and loss of vision and blindness.

The sources of the Kuznets relationship between the COVID-19 mortality rate and economic performance

This paper discusses the findings of an empirical analysis of the Kuznets, or reverse U-shaped relationship, between the COVID-19 mortality rate and economic performance. In the early stages of economic development, the COVID-19 mortality rate is anticipated to rise with rising economic activity and urbanization. Eventually, the mortality rate decreases at higher economic development levels as people and the government are more capable of investing in disease abatement measures. The quality of political institutions, wealth distribution, urbanization, vaccination rate, and improvements in healthcare systems are hypothesized to affect the COVID-19 mortality rate. Examining this relationship can be effective in understanding the change in the COVID-19 mortality rate at different economic performance stages and in identifying appropriate preventive measures. This study employed the negative binomial regression to model a cross-sectional dataset of 137 countries. Results indicated that the relationship between the per-head gross domestic product (GDP) level and the COVID-19 mortality rate appeared to follow a pattern like the Kuznets curve, implying that changes in institutional quality, healthcare advancements, wealth distribution, urbanization, vaccination rate, and the percentage of the elderly population were significant in explaining the relationship. Improvement of the healthcare system has a notable effect on lowering the COVID-19 mortality rate under more effective government conditions. Additionally, the results suggested that a higher per-head GDP is required to reverse the rising trend of the mortality rate under higher income inequality. Based on these results, preventive measures, and policies to reduce COVID-19 mortalities were recommended in the conclusion section.