title: Evaluating the Impact of Criminalizing Drunk Driving on Road-Traffic Injuries in Guangzhou, China: A Time-Series Study.
abstract: BACKGROUND
  Road-traffic injury (RTI) is a major public-health concern worldwide. However, the effectiveness of laws criminalizing drunk driving on the improvement of road safety in China is not known.
  
  
  METHODS
  We collected daily aggregate data on RTIs from the Guangzhou First-Aid Service Command Center from 2009 to 2012. We performed an interrupted time-series analysis to evaluate the change in daily RTIs before (January 1, 2009, to April 30, 2011) and after (May 1, 2011, to December 31, 2012) the criminalization of drunk driving. We evaluated the impact of the intervention on RTIs using the overdispersed generalized additive model after adjusting for temporal trends, seasonality, day of the week, and holidays. Daytime/Nighttime RTIs, alcoholism, and non-traffic injuries were analyzed as comparison groups using the same model.
  
  
  RESULTS
  From January 1, 2009, to December 31, 2012, we identified a total of 54 887 RTIs. The standardized daily number of RTIs was almost stable in the pre-intervention period but decreased gradually in the post-intervention period. After the intervention, the standardized daily RTIs decreased 9.6% (95% confidence interval [CI], 6.5%-12.8%). There were similar decreases for the daily daytime and nighttime RTIs. In contrast, the standardized daily cases of alcoholism increased 38.8% (95% CI, 35.1%-42.4%), and daily non-traffic injuries increased 3.6% (95% CI, 1.4%-5.8%).
  
  
  CONCLUSIONS
  This time-series study provides scientific evidence suggesting that the criminalization of drunk driving from May 1, 2011, may have led to moderate reductions in RTIs in Guangzhou, China.
authors.affiliation: School of Public Health, Key Lab of Public Health Safety of the Ministry of Education, & Key Lab of Health Technology Assessment of the Ministry of Health, Fudan University.
authors.forename: Ang
authors.initials: A
authors.lastname: Zhao
authors.forename: Renjie
authors.initials: R
authors.lastname: Chen
authors.forename: Yongqing
authors.initials: Y
authors.lastname: Qi
authors.forename: Ailan
authors.initials: A
authors.lastname: Chen
authors.forename: Xinyu
authors.initials: X
authors.lastname: Chen
authors.forename: Zijing
authors.initials: Z
authors.lastname: Liang
authors.forename: Jianjun
authors.initials: J
authors.lastname: Ye
authors.forename: Qing
authors.initials: Q
authors.lastname: Liang
authors.forename: Duanqiang
authors.initials: D
authors.lastname: Guo
authors.forename: Wanglin
authors.initials: W
authors.lastname: Li
authors.forename: Shuangming
authors.initials: S
authors.lastname: Li
authors.forename: Haidong
authors.initials: H
authors.lastname: Kan
mesh_terms: D000063:Accidents, Traffic / Q000706:statistics & numerical data*; D001334:Automobile Driving / Q000331:legislation & jurisprudence*; D002681:China / Q000453:epidemiology; D000066448:Driving Under the Influence / Q000331:legislation & jurisprudence*; D006801:Humans; D065186:Interrupted Time Series Analysis; D011634:Public Health; D014947:Wounds and Injuries / Q000453:epidemiology / Q000517:prevention & control*