ArticleBMC public health2019
Economic development and road traffic injuries and fatalities in Thailand: an application of spatial panel data analysis, 2012-2016.
Article in BMC public health, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.
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12 citing papers in PubMed.
- Economic burden of road traffic injuries in Iran; time to make tough decisions: a cross-sectional study.BMC health services research · 2026Article
- Spatial association and modeling of road traffic deaths in Thailand, 2022.Population health metrics · 2026Article
- Spatiotemporal patterns and driving mechanisms of provincial road traffic accidents in China, 2016-2024.Frontiers in public health · 2026Article
- The relationship between income level and road traffic deaths: an empirical analysis for 22 OECD countries.BMC public health · 2025Article
- Exploring the economic occupational health, safety, and fatal accidents in high-risk industries.BMC public health · 2025Article
- A study of the impact of traffic investment on traffic fatalities in China, 2004 - 2020.Chinese journal of traumatology = Zhonghua chuang shang za zhi · 2024Article
- [Deaths from traffic injuries and social inequality in Colombia, 2019Mortalidade por acidentes de trânsito e desigualdades sociais na Colômbia, 2019].Revista panamericana de salud publica = Pan American journal of public health · 2023Article
- Bridging the Gap between Clinical Service and Academic Education of Hand-Splinting Practice: Perspectives and Experiences of Thai Occupational Therapists.International journal of environmental research and public health · 2022Article
- Article
- Spatial Panel Data Analysis on the Relationship between Provincial Economic Status and Enrolment in the Social Security Scheme amongst Migrant Workers in Thailand, 2015-2018.International journal of environmental research and public health · 2021Article
- Studies of the effectiveness of transport sector interventions in low- and middle-income countries: An evidence and gap map.Campbell systematic reviews · 2021Article
- What are the strongest indicators of intracerebral hemorrhage in mild traumatic brain injury?Trauma surgery & acute care open · 2021Article
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4 authors.
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Abstract
backgroundRoad traffic injuries (RTIs) have been one of the most critical public health problems in Thailand for decades. The objective of this study was to examine to what extent provincial economy was associated with RTIs, road traffic deaths and case fatality rate in Thailand.
methodsA secondary data analysis on time-series data was applied. The unit of analysis was a panel of 77 provinces during 2012-2016. Data were obtained from relevant public authorities, including the Ministry of Public Health. Descriptive statistics and econometric models, using negative binomial (NB) regression, negative binomial regression with random-effects (RE) model, and spatial Durbin model (SDM) were employed. The main predictor variable was gross domestic product (GDP) per capita and the outcome variables were incidence proportion of RTIs, traffic deaths and case fatality rate. The analysis was adjusted for key covariates.
resultsThe incidence proportion of RTIs rose from 449.0 to 524.9 cases per 100,000 population from 2012 till 2016, whereas the incidence of traffic fatalities fluctuated between 29.7 and 33.2 deaths per 100,000 population. Case fatality rate steadily stood at 0.06-0.07 deaths per victim. RTIs and traffic deaths appeared to be positively correlated with provincial economy in the NB regression and the RE model. In the SDM, a log-Baht increase in GDP per capita (equivalent to a growth of GDP per capita by about 2.7 times) enlarged the incidence proportion of injuries and deaths by about a quarter (23.8-30.7%) with statistical significance. No statistical significance was found in case fatality rate by the SDM. The SDM also presented the best model fitness relative to other models.
conclusionThe incidence proportion of traffic injuries and deaths appeared to rise alongside provincial prosperity. This means that RTIs-preventive measures should be more intensified in economically well-off areas. Furthermore, entrepreneurs and business sectors that gain economic benefit in a particular province should share responsibility in RTIs prevention in the area where their businesses are running. Further studies that explore others determinants of road safety, such as patterns of vehicles used, attitudes and knowledge of motorists, investment in safety measures, and compliance with traffic laws, are recommended.
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