scholarly journals Challenges in the Accurate Surveillance of Booster Seat and Bicycle Helmet Usage by Children: Lessons from the Field

Author(s):  
Curt Pankratz ◽  
Lynne Warda ◽  
Caroline Piotrowski
Keyword(s):  
2020 ◽  
Vol 46 (5) ◽  
pp. 591-598
Author(s):  
Caroline C. Piotrowski ◽  
Lynne Warda ◽  
Curt Pankratz ◽  
Kate Dubberley ◽  
Kelly Russell ◽  
...  

Author(s):  
Caroline C. Piotrowski ◽  
Lynne Warda ◽  
Curt Pankratz ◽  
Kate Dubberley ◽  
Kelly Russell ◽  
...  
Keyword(s):  

2019 ◽  
Vol 11 (01) ◽  
pp. 20-25
Author(s):  
Indra Saputra ◽  
Parulian Silalahi ◽  
Bayu Cahyawan ◽  
Imam Akbar

Bicycles are not equipped with the turn signal. For driving safety, a bicycle helmet with a turn signal is designed with voice rrecognition. It is using the Arduino Nano as a controller to control the ON and OFF of turn signal lights with voice commands. This device uses a Voice Recognition sensor and microphone that placed on a bicycle helmet. When the voice command is mentioned in the microphone, the Voice Recognition sensor will detect the command specified, the sensor will automatically read and send a signal to Arduino, then the turn signal will light up as instructed, the Arduino on the helmet will send an indicator signal via the Bluetooth Module. The device is able to detect sound with a percentage of 80%. The tool can work with a distance of <2 meters with noise <71 db.


1993 ◽  
Vol 83 (5) ◽  
pp. 667-674 ◽  
Author(s):  
A L Dannenberg ◽  
A C Gielen ◽  
P L Beilenson ◽  
M H Wilson ◽  
A Joffe

2013 ◽  
Vol 24 (1) ◽  
pp. 26-40 ◽  
Author(s):  
Sara Markowitz ◽  
Pinka Chatterji
Keyword(s):  

2011 ◽  
Vol 58 (4) ◽  
pp. S273
Author(s):  
C.B. Donnelly ◽  
E.C. Kurian ◽  
N. Kondamudi ◽  
T. Murano ◽  
S. Compton

1996 ◽  
Vol 27 (1) ◽  
pp. 43-53 ◽  
Author(s):  
Sherry A. Everett ◽  
James H. Price ◽  
David A. Bergin ◽  
Bruce W. Groves

PEDIATRICS ◽  
1993 ◽  
Vol 91 (5) ◽  
pp. 902-907
Author(s):  
Robert S. Thompson ◽  
Diane C. Thompson ◽  
Frederick P. Rivara ◽  
Angela A. Salazar

Objective. To examine the potential effects of bicycle safety helmet cost subsidy on bicycle head injury rates and costs. Design. Using empiric data on the incidence and costs of bicycle injuries to children, we examined the hypothetical effects of various bicycle helmet subsidies in a cost-effectiveness analysis. A hypothetical cohort of 100 000 5- through 9-year-olds was followed for 5 years after helmet cost subsidization. Sensitivity analyses were done of three different levels of safety helmet subsidy ($5, $10, $15), three discount rates (2%, 4%, 6%), 10 levels of safety helmet use ranging from 10% to 100%, and the occurrence or nonoccurrence of catastrophic head injuries. Patients. Forty-three children 5 through 9 years of age and 27 children 10 through 14 years of age with head injuries due to bicycling were identified through emergency department surveillance of a population of 29 533. Setting. Group Health Cooperative of Puget Sound, a large health maintenance organization. Outcome measures. Bicycle head injuries prevented and the savings or costs associated with various subsidy, safety helmet use, and discount rates. Results. Hypothetically, an increase in bicycle helmet use rates to 40% to 50% due to subsidies of $5 or $10 prevents 564 to 840 head injuries in a cohort of 100 000 5- through 9-year-olds over 5 years. Under these conditions and a 2% discount rate, cost savings ranging from $189 207 to $427 808 will result when catastrophic head injuries are included in the analysis. Conclusion. Subsidization of bicycle safety helmets to achieve a cost of $14 to $20 per helmet and use rates of 40% to 50% will likely prove cost-effective. Empirical evidence from a Seattle campaign suggests that such helmet use rates are achievable.


Sign in / Sign up

Export Citation Format

Share Document