Time trends in gender-specific incidence rates of road traffic injuries in Iran.

ABSTRACT:

Objectives

Every day, an average of 3,400 deaths and tens of millions of injuries occur as a result of traffic accidents. This study aims to model and validate road traffic injury (RTI) times series, specifically considering gender.

Study design

Time trend studies of monthly road traffic injuries (RTI) in Iran from March 2005 to February 2016, as well as those of males and females from March 2009 to February 2016 were performed.

Methods

The seasonal auto-regressive integrated moving average method (SARIMA) was employed to predict RTI time series. The final model was selected from various SARIMA models based on the Akaike information criterion (AIC) and the Bayesian information criterion (BIC). To examine whether the residuals were white noise, the Ljung-Box (LB) test

SUBMITTER: Delavary Foroutaghe M 

PROVIDER: S-EPMC6508924 | biostudies-literature | 2019

REPOSITORIES: biostudies-literature