Assessing the reliability and validity of direct observation and traffic camera streams to measure helmet and motorcycle use

Zaccaro, Heather; Carbone, Emily C; Dsouza, Nishita; Xu, Michelle R; Byrne, Mary; Kraemer, John

doi:10.1136/injuryprev-2014-041399

Cited by 3 publications

(2 citation statements)

References 12 publications

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“…Helmet use was estimated by filming student motorcycle passengers at a sample of schools as they arrived at and departed from school. Filmed observation has been found to be a valid and reliable methodology for measuring helmet use as it is not subject to error introduced by response bias in self-reported data 23. Each sampled school was filmed on four occasions—in March 2014 before the campaign (baseline), in April 2015 immediately after enhanced police enforcement (post 1), in December 2015 which was 2 months after the September 2015 school campaign (post 2), and 5 months later in May 2016 (post 3).…”

Section: Methodsmentioning

confidence: 99%

Evaluation of an integrated multisector campaign to increase child helmet use in Vietnam

Nhan¹,

Parker²,

Son³

et al. 2017

Inj Prev

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Integrated multisectoral interventions between governments, civil society and the corporate sector that incorporate communications, school-based education, incentives for change and police enforcement have the potential to increase helmet use among children. Future integrated campaigns may be more effective with an increased focus on parents and other adult drivers given their potential influence on child helmet use.

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Section: Methodsmentioning

confidence: 99%

Evaluation of an integrated multisector campaign to increase child helmet use in Vietnam

Nhan¹,

Parker²,

Son³

et al. 2017

Inj Prev

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“…Even after controlling for distance travelled, fatalities among motorcyclists and their passengers are approximately 35 times higher than other motor vehicle types [ 7 , 10 ]. A possible reason for the elevated fatality rate is the lack of protective equipment and shielding [ 11 , 12 ], such as low helmet use, as evidenced in low and middle-income countries [ 13 , 14 ].…”

Section: Introductionmentioning

confidence: 99%

Do motorcycle helmets reduce road traffic injuries, hospitalizations and mortalities in low and lower-middle income countries in Africa? A systematic review and meta-analysis

et al. 2022

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Background Studies in Africa have examined the association between helmet use and injury prevention, however, there has been no systematic review to synthesize the literature within an African context nor has there been any meta-analysis examining the effect of helmet use on injury prevention. Methods The review was performed in accordance with the Joanna Briggs Institute for Systematic Reviews. Articles were searched using several databases (e.g. CINAHL, OVID Medline) and select gray literature (e.g. TRID) sources. Articles were included if they were quantitative studies published in English between 2000 and 2019 and examined the association between motorcycle helmet use with head injuries, hospitalizations, and deaths in low- and lower-middle income countries in Africa with comprehensive motorcycle helmet laws. A meta-analysis was performed using pooled effect sizes assessing the impact of helmet use on reducing head injuries. Results After screening 491 articles, eight studies met the inclusion criteria. Helmet use ranged from 0 to 43%. The mean age of being involved in a crash was 30 years with males being two times more likely to be involved in motorcycle crashes than females. Drivers (riders) were more likely to be involved in a crash, followed by passengers and then pedestrians. Helmet use reduced injury severity and provided an 88% reduction in serious head injuries (OR 0.118, 95% CI: 0.014–0.968, p = 0.049). Conclusions In our study, helmet usage significantly reduced the likelihood of fatal head injuries. African countries with no helmet laws should consider adopting helmet use policies to reduce severe head related injuries from motorcycle crashes.

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Traf: A Camera based System for Traffic Flow Analysis

Feng¹,

Tang²,

Zhao³

et al. 2017

Proceedings of the 2017 International Conference on Mechanical, Electronic, Control and Automation Engineering (MECAE 2017)

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Abstract. As the traffic jam is becoming a serious issue of urban life, collecting traffic parameters for traffic distribution is important and critical. In this paper, we present a camera based system (Traf) to count automotive vehicles for traffic flow analysis use. The system employs the method of background subtraction by comparing differences between foreground and background. The subtraction result is utilized to identify the position and the shape of vehicles. The background model is initialed by averaging first 50 frames, and adapted to environment change by introducing an adapting parameter λ. Compared to state-of-art method, Traf is more robust, adaptive and economical.

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Assessing the reliability and validity of direct observation and traffic camera streams to measure helmet and motorcycle use

Cited by 3 publications

References 12 publications

Evaluation of an integrated multisector campaign to increase child helmet use in Vietnam

Evaluation of an integrated multisector campaign to increase child helmet use in Vietnam

Do motorcycle helmets reduce road traffic injuries, hospitalizations and mortalities in low and lower-middle income countries in Africa? A systematic review and meta-analysis

Traf: A Camera based System for Traffic Flow Analysis

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