Publication:
Modelling motorcycle-related head injury trends for Thailand following the 100% motorcycle helmet use campaign using log-linear model

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Issued Date

2019

Resource Type

Article

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application/pdf

ISSN

16859057

Other identifier(s)

2-s2.0-85061562910

Rights Holder(s)

Scopus

Bibliographic Citation

Thailand Statistician. Vol 17, No.1 (2019), p.30-40

Suggested Citation

Patummasut M., Phewchean N., Sirirattanapa J. Modelling motorcycle-related head injury trends for Thailand following the 100% motorcycle helmet use campaign using log-linear model. Thailand Statistician. Vol 17, No.1 (2019), p.30-40. Retrieved from: https://hdl.handle.net/20.500.14740/5603

Title

Modelling motorcycle-related head injury trends for Thailand following the 100% motorcycle helmet use campaign using log-linear model

Author(s)

Patummasut M.
 Phewchean N.
 Sirirattanapa J.

Abstract

The aim of this paper is to examine trends of motorcycle related head injuries in HRH Princess Maha Chakri Sirindhorn Medical Center, Nakhon Nayok province, Thailand, following the 100% Motorcycle Helmet Use campaign by using log-linear models. Since the injuries count data is overdispersion, the Poisson log-linear model is not reasonable. Consequently, the negative binomial log-linear model accounted for overdispersion is used, and it fits the data very well. The fitted model indicated the increasing trend of head injuries after the 100% Motorcycle Helmet Use campaign was lunched over the years 2011-2016. It is increasing at the rate 1.13% per month. © 2019, Thai Statistical Association. All rights reserved.

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URI

https://hdl.handle.net/20.500.14740/5603

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Scopus: Year 1983-2021

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