Lehna Carlee, Furmanek Stephen, Fahey Erin, Hanchette Carol
University of Louisville School of Nursing, Louisville, KY, United States.
University of Louisville School of Nursing, Louisville, KY, United States.
Burns. 2018 Feb;44(1):201-209. doi: 10.1016/j.burns.2017.07.007. Epub 2017 Aug 12.
This study developed a predictive model for fires and burns among parents and children in Jefferson County, Kentucky. Eight risk factors for pediatric burns with census tract level data available were identified. Risk factors were synthesized to develop a cartographic model with risk levels low, medium, high, and severe. Validation was performed with fire dispatch data. At-risk areas were concentrated in the county's northwest. Risk was correlated with fire incidence rate (ρ=0.67, p<0.001). Significant risk factors were race (β=0.54, p<0.001), education (β=0.38, p<0.001), and year home built (β=-0.17, p=0.005). Cartographic modeling is a underutilized tool to identify at-risk areas.
本研究针对肯塔基州杰斐逊县的父母与儿童火灾及烧伤情况开发了一种预测模型。利用普查区层面的数据,确定了8个小儿烧伤风险因素。将风险因素进行综合,以开发一个具有低、中、高和严重风险等级的制图模型。利用火灾调度数据进行了验证。高危区域集中在该县西北部。风险与火灾发生率相关(ρ=0.67,p<0.001)。显著的风险因素为种族(β=0.54,p<0.001)、教育程度(β=0.38,p<0.001)以及房屋建造年份(β=-0.17,p=0.005)。制图建模是一种未得到充分利用的识别高危区域的工具。