Original Article VOL. 17|NO. 3|ISSUE 67|JULY-SEPT. 2019 Clustering of Road Traffic Injuries During the 7-day Songkran Holiday, Thailand: A Spatial Analysis Tubtimhin S,1 Laohasiriwong W,1 Pitaksanurat S,1 Sornlorm K,1 Luenam A2 ABSTRACT Background 1Faculty of Public Health, Road traffic injury (RTI) is a major cause of fatalities around the world and Thailand Khon Kaen University, Khon Kaen, Thailand. is the second leading country. 3Faculty of Public and Environmental Health, Huachiew Chalermprakiet University, Objective Samut Prakan, Thailand. To determine the spatial pattern of road traffic injury during the 7-day Songkran holiday in Thailand. Method Corresponding Author Wongsa Laohasiriwong This study utilized the data obtained from the Information Technology for Emergency Medical System (ITEMS) covering the nationwide road traffic injury during the Faculty of Public Health, Songkran festival, Thai New Year holiday (April 9-15, 2015). The Moran’s I was used Khon Kaen University, to identify global autocorrelation within the country whereas the Local Indicators Khon Kaen, 40002, Thailand. of Spatial Association (LISA) analysis was administered for analyzing the spatial distribution of RTIs and determining the spatial autocorrelation and correlation of E-mail:
[email protected] numbers motor vehicles and length of road networks and road traffic injury. Result Citation During Songkran holiday 2015, the univariate Moran’s I of RTIs distribution among Tubtimhin S, Laohasiriwong W, Pitaksanurat S, provinces in Thailand showed a slightly positive spatial autocorrelation, as the Sornlorm K, Luenam A. Clustering of Road Traffic Moran’s I was 0.1701, with statistical significance at 0.05. Local indicators of spatial Injuries During the 7-day Songkran Holiday, Thailand: A Spatial Analysis.