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David C. Schwebel
Researcher at University of Alabama at Birmingham
Publications - 395
Citations - 123784
David C. Schwebel is an academic researcher from University of Alabama at Birmingham. The author has contributed to research in topics: Poison control & Injury prevention. The author has an hindex of 72, co-authored 358 publications receiving 93565 citations. Previous affiliations of David C. Schwebel include University of California, Los Angeles & University of Iowa.
Papers
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Journal ArticleDOI
Study protocol: developing and evaluating an interactive web platform to teach children hunting, shooting and firearms safety: a randomized controlled trial.
TL;DR: ShootSafe as discussed by the authors is an interactive, engaging, educational website to teach children firearms safety using interactive games plus short, impactful testimonial videos and short expert-led educational videos.
Proceedings ArticleDOI
A New Method to Prevent Unintentional Child Poisoning
TL;DR: Preliminary results indicate that smart pill bottles can be used to reliably detect children trying to open pill bottles and reduce risk of child-poisoning events.
Journal ArticleDOI
Someone to Watch Over You: Using Bluetooth Beacons for Alerting Distracted Pedestrians
Raiful Hasan,Mohammad Aminul Hoque,Yasser Karim,Russell Griffin,David C. Schwebel,Ragib Hasan +5 more
TL;DR: In this paper , a Bluetooth beacon-based system called StreetBit is proposed to warn distracted pedestrians with visual and/or audible interruption when they approach a potentially dangerous traffic intersection while distracted by their smartphones.
Journal ArticleDOI
ARTCDP: An automated data platform for monitoring emerging patterns concerning road traffic crashes in China.
Peixia Cheng,Wangxin Xiao,Peishan Ning,Li Li,Z. Rao,Lei Yang,David C. Schwebel,Yang Yang,Yun Huang,Guoqing Hu +9 more
TL;DR: Wang et al. as mentioned in this paper built a text classification model using 20,000 manually annotated news stories based on the Bidirectional Encoder Representations from Transformers (BERT) and then used NLP algorithms to extract data concerning 27 structured variables from the news sources.
Journal ArticleDOI
Media Reports about Violence against Medical Care Providers in China.
Liheng Tan,Shujuan Yuan,Peixia Cheng,Peishan Ning,Yuyan Gao,Wangxin Xiao,David C. Schwebel,Guoqing Hu +7 more
TL;DR: Wang et al. as discussed by the authors identified 10 influential incidents of violence against medical care providers in China through a systematic strategy and used standardized internet-based search techniques to retrieve media reports about these events from 2007-2017.