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

Issued Date

2019-01-01

Resource Type

Article

ISSN

23510676
16859057

Other identifier(s)

2-s2.0-85061562910

Rights

Mahidol University

Rights Holder(s)

SCOPUS

Bibliographic Citation

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

Suggested Citation

Mena Patummasut, Nattakorn Phewchean, Jarinratn Sirirattanapa 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), 30-40. Retrieved from: https://repository.li.mahidol.ac.th/handle/20.500.14594/51238

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Title

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

Author(s)

Mena Patummasut
 Nattakorn Phewchean
 Jarinratn Sirirattanapa

Other Contributor(s)

South Carolina Commission on Higher Education
 Kasetsart University
 Mahidol University
 Srinakharinwirot University

Abstract

© 2019, Thai Statistical Association. All rights reserved. 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.

Keyword(s)

Mathematics

Availability

URI

https://repository.li.mahidol.ac.th/handle/20.500.14594/51238

Collections

Scopus 2019