Pattern of traffic injuries in Shanghai: implications for control

Abstract

In China, traffic-related injuries are often treated as transportation issues, called 'accidents'. The objectives of the research are to analyse traffic injury patterns, estimate costs of traffic injuries and provide evidence to develop effective prevention strategies. There were over 1 500 deaths due to traffic-related injuries annually in Shanghai from 1987 to 2003, and it is rising year by year with the rate of growth in motorization. The rates of annual increase are 3.59% in fatalities (from 7.78 to 14.18 per 100000 population) and 10.46% in non-fatalities (from 53.93 to 264.98 per 100000 population) respectively during the period. The analysis of the geographic information system showed that the geographic distribution of traffic injuries in the countryside regions of Shanghai had the highest rates. Labour force groups represented the majority of fatalities (70.97%) and serious traffic injuries (90.51%). The mortality rates were 18.40 per 100000 population and 10.02 per 100000 population in 45-65 year age group and 15-44 year age group respectively; the morbidity rates of serious traffic injuries were 121.60 per 100000 population and 70.46 per 100000 population in the same groups respectively. And females generally showed a lower incidence than males. In general, fatalities and injuries were higher for drivers, bicyclists and pedestrians. Among road traffic injury-related fatalities, 66.8% were attributed to head injuries. Of those with fatal head injuries, bicyclists accounted for 29.8% of the total; pedestrians accounted for 28.3%; motorcyclists accounted for 25.5%. Total traffic injury cost was estimated at least US $645989580 in Shanghai in 2003. Good injury intervention programmes need to be done as soon as possible to effectively reduce traffic injury burden in Shanghai, China.

Studying the Epidemiology of Fatal Traffic Accidents in the Khuzestan Province

“…Most cases of death in females had occurred among the age group of 15 to 19, and in males it was among the age group of 20 to 24-year-old. This is in agreement with similar results obtained by studies from Tehran, Kordestan, Isfahan, Amol, Shanghai of China, Singapore and Greece (16)(17)(18)(19)(20)(21)(22).…”

Road-traffic deaths in China, 1985–2005: threat and opportunity

“…Early studies have shed light on the trends,5 7 – 10 but recent data are lacking. The total number of traffic-related deaths began to decrease after 2002 11.…”

An overview of geospatial methods used in unintentional injury epidemiology

“…The majority of studies were concerned with road traffic injuries ( n =  36) (Chakravarthy et al 2010; Cinnamon et al 2011; DiMaggio 2015; Dissanayake et al 2009; Durkin et al 2005; Eksler and Lassarre 2008; Eksler et al 2008; Erdogan 2009; Haynes et al 2005; Haynes et al 2008; Hijar et al 2003; Hosking et al 2013; Hu et al 2008; Huff et al 2012; Jones et al 2008; La Torre et al 2007; Lassarre and Thomas 2005; Lateef 2011; Lawrence et al 2015; Mohan et al 2015; Morency and Cloutier 2006; Nagata et al 2011; Nunes and Nascimento 2012; Nunn and Newby 2015; Paulozzi 2006; Poulos et al 2012; Razzak et al 2011; Schuurman et al 2009; Silva et al 2011; Slaughter et al 2014; Spoerri et al 2011; Statter et al 2011; Sukhai et al 2009; Unni et al 2012; Weiner and Tepas 2009; Yan-Hong et al 2006). Other studies considered falls ( n =  11) (Bamzar and Ceccato 2015; Chan et al 2012; de Pina et al 2008; Dey et al 2010; Lai et al 2009a; Lai et al 2009b; Lai et al 2011; Morency et al 2012; Towne et al 2015; Turner et al 2009; Yiannakoulias et al 2003), burns ( n =  9) (Edelman et al 2010; Fouillet et al 2006; Goltsman et al 2014; Harlan et al 2013; Heng et al 2015; Mian et al 2014; Niekerk et al 2006; Stylianou et al 2015; Williams et al 2003), drowning ( n =  4) (Dai et al 2013; Maples and Tiefenbacher 2009; Sharif et al 2012; Shenoi et al 2015), occupational ( n =  2) (Breslin et al 2007; Forst et al 2015), aviation-related ( n =  2) (Grabowski et al 2002a, 2002b), poisoning ( n =  1) (Nkhoma et al 2004), natural disaster ( n =  1) (Peek-Asa et al 2000) and dog-bite ...…”