Open AccessUsing bayesian model to estimate the cost of traffic injuries in Iran in 2013
Author(s) -
Elaheh Ainy,
Hamid Soori,
Mojtaba Ganjali,
Ayad Bahadorimonfared
Publication year - 2017
Publication title -
international journal of critical illness and injury science
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.274
H-Index - 12
eISSN - 2231-5004
pISSN - 2229-5151
DOI - 10.4103/ijciis.ijciis_104_16
Subject(s) - medicine , willingness to pay , poison control , gross national income , purchasing power parity , injury prevention , internal rate of return , road traffic , demography , statistics , transport engineering , environmental health , gross domestic product , engineering , exchange rate , mathematics , economics , sociology , macroeconomics , microeconomics , economic growth , production (economics)
A significant social and economic burden inflicts by road traffic injuries (RTIs). We aimed to use Bayesian model, to present the precise method, and to estimate the cost of RTIs in Iran in 2013.