Assessment and prediction of road accident injuries trend using time-series models in Kurdistan.

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Assessment and prediction of road accident injuries trend using time-series models in Kurdistan.

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2018 nî lūn-bûn

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2018年の論文

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2018年学术文章

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2018年学术文章

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2018年学术文章

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2018年学术文章

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2018年学术文章

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2018年學術文章

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2018年學術文章

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2018年學術文章

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Assessment and prediction of r ...... me-series models in Kurdistan.

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Assessment and prediction of r ...... me-series models in Kurdistan.

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Assessment and prediction of r ...... me-series models in Kurdistan.

@en

Assessment and prediction of r ...... me-series models in Kurdistan.

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Assessment and prediction of r ...... me-series models in Kurdistan.

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Assessment and prediction of r ...... me-series models in Kurdistan.

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P1476

Assessment and prediction of r ...... ime-series models in Kurdistan

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P2093

Asrin Karimi

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Maryam Parvareh

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Nader Esmail Nasab

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Sairan Nili

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Satar Rezaei

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P2860

Helmets for preventing injury in motorcycle riders

Epidemiological Patterns of Road Traffic Crashes During the Last Two Decades in Iran: A Review of the Literature from 1996 to 2014

Burden of road traffic injuries and related risk factors in low and middle-income Pacific Island countries and territories: a systematic review of the scientific literature (TRIP 5).

Trends of fatal road traffic injuries in Iran (2004-2011).

Differential patterns, trends and hotspots of road traffic injuries on different road networks in Vellore district, southern India.

Trends of Mortality of Road Traffic Accidents in Fars Province, Southern Iran, 2004 - 2010.

Stochastic model to forecast ground-level ozone concentration at urban and rural areas.

Application of an autoregressive integrated moving average model for predicting injury mortality in Xiamen, China

Epidemiologic Pattern of Fatal Traffic Injuries among Iranian Drivers; 2004-2010

Predicting and analyzing the trend of traffic accidents deaths in Iran in 2014 and 2015

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s41038-018-0111-6

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scholarly article

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10.1186/S41038-018-0111-6

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Bijan Nouri

Abraha Woldemichael

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2018-03-09T00:00:00Z

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1101390461

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29556507

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