Measure of productivity loss due to road traffic accidents in Thailand

Chantith, Chaturaphat; Permpoonwiwat, Chompoonuh K.; Hamaide, Bertrand

doi:10.1016/j.iatssr.2020.07.001

Cited by 22 publications

(14 citation statements)

References 3 publications

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“…A recent study also pointed out that the reduction in deaths among the younger age groups may have been due to fewer car accidents and work-related accidents during the lockdown period [ 21 ]. According to the WHO Global Status Report on Road Safety [ 40 ], Thailand ranked ninth in the world and first in Southeast Asia for road traffic deaths, with an estimated road traffic death rate of 33 deaths per 100,000 people in 2018 [ 41 ]. Moreover, traffic accidents were the third leading cause of death in Thailand in 2020 [ 42 ].…”

Section: Discussionmentioning

confidence: 99%

Estimation of Excess All-Cause Mortality Due to COVID-19 in Thailand

et al. 2022

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Thailand has experienced the most prominent COVID-19 outbreak in 2021, resulting in a new record for COVID-19 cases and deaths. To assess the influence of the COVID-19 outbreak on mortality, we estimated excess all-cause and pneumonia mortality in Thailand during the COVID-19 outbreak from April to October 2021. We used mortality from the previous 5 years to estimate the baseline number of deaths using generalized linear mixed models. The models were adjusted for seasonality and demographics. We found that, during the outbreak in 2021, there was a significant rise in excess fatalities, especially in the older age groups. The estimated cumulative excess death was 14.3% (95% CI: 8.6–18.8%) higher than the baseline. The results also showed that the excess deaths in males were higher than in females by approximately 26.3%. The excess deaths directly caused by the COVID-19 infections accounted for approximately 75.0% of the all-cause excess deaths. Furthermore, excess pneumonia deaths were also found to be 26.2% (95% CI: 4.8–46.0%) above baseline.

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Section: Discussionmentioning

confidence: 99%

Estimation of Excess All-Cause Mortality Due to COVID-19 in Thailand

et al. 2022

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“…A recent study has also pointed out that the reduction in deaths among the younger age groups may be due to fewer car accidents and work-related accidents during the lockdown period (18). According to the WHO Global Status Report on Road Safety (35), Thailand ranked No.9 in the world and No.1 in Southeast Asia for road traffic deaths, with an estimated road traffic death rate of 33 deaths per 100,000 people in 2018 (36). Moreover, traffic accidents were the third leading cause of death in Thailand in 2020 (37).…”

Section: Discussionmentioning

confidence: 99%

Estimation of excess all-cause mortality due to COVID-19 in Thailand

Wilasang

Lincharoen

Modchang

et al. 2022

Preprint

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Background: Thailand has recently experienced the most prominent COVID-19 outbreak, resulting in a new record for COVID-19 cases and deaths. To assess the influence of the COVID-19 outbreak on mortality, we aimed to estimate excess mortality in Thailand. Methods: We estimated the baseline number of deaths in the absence of COVID-19 using generalized linear mixed models (GLMMs). The models were adjusted for seasonality and demographics. We evaluated the excess mortality from April to October 2021 in Thailand. Results: We found that the estimated cumulative excess death from April to October 2021 was 14.3% (95% CI: 8.6%-18.8%) higher than the baseline. The results also showed that the excess deaths in males were higher than in females by approximately 26.3%. The excess deaths directly caused by the COVID-19 infections accounted for approximately 75.0% of the all-cause excess deaths. Furthermore, the cumulative COVID-19 cases were found to be correlated with the cumulative excess deaths with a correlation coefficient of 0.9912 (95% CI, 0.9392-0.9987). Conclusions: The recent COVID-19 outbreak in Thailand significantly impacts mortality and affects people for specific ages and sex. During the outbreak in 2021, there was a significant rise in excess fatalities, especially in the older age groups. The increase in mortality was higher in men than in women.

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“…The issue of traffic accidents has a considerable impact in developing countries [ 1 ], reflected by the number of fatalities [ 2 ] and substantial loss from road accidents at national levels. Thailand is an appropriate site for investigating these factors and drivers’ attitudes regarding road accident valuation, as the nation is heavily affected by traffic accidents (32.7 fatalities per 100,000 population) [ 2 , 3 ]. Thailand is representative of middle-income developing countries [ 4 ] and a center of tourism in the ASEAN economy [ 5 ].…”

Section: Introductionmentioning

confidence: 99%

Influence of Psychological Perspectives and Demographics on Drivers’ Valuation of Road Accidents: A Combination of Confirmatory Factor Analysis and Preference Heterogeneity Model

Wisutwattanasak

Jomnonkwao

et al. 2022

Behavioral Sciences

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Property damage and loss from road traffic accidents are a major concern in developing countries; thus, studies on accident damage in such countries may include more latent factors. This study aims to examine the effect of psychological perspectives and sociodemographic status on drivers’ willingness-to-pay (WTP) for road accident risk reduction, using confirmatory factor analysis (CFA) and the random parameters multinomial logit model with heterogeneity in means and variances (RPMNLHMV). The CFA results from interviews with 1650 car drivers in Thailand demonstrate that concepts of the theory of planned behavior and health access process approach are key factors for describing drivers’ behavioral intention and WTP. The RPMNLHMV results indicate that drivers’ demographics affected drivers’ WTP to reduce road accidents, and psychological perspectives were also found to have an influence on WTP. The results also reveal unobserved characteristics that could affect drivers’ WTP. The study concludes that ignoring unobserved heterogeneity in studies on WTP to reduce road accidents can lead to biased results and neglect important influential factors. The methodological approaches applied herein offer another layer of insight into unobserved characteristics in road accident valuation. These findings could be used to provide relevant authorities practical insights for policy development on road accident mitigation and road safety education programs in accordance with drivers’ characteristics.

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Measure of productivity loss due to road traffic accidents in Thailand

Cited by 22 publications

References 3 publications

Estimation of Excess All-Cause Mortality Due to COVID-19 in Thailand

Estimation of Excess All-Cause Mortality Due to COVID-19 in Thailand

Estimation of excess all-cause mortality due to COVID-19 in Thailand

Influence of Psychological Perspectives and Demographics on Drivers’ Valuation of Road Accidents: A Combination of Confirmatory Factor Analysis and Preference Heterogeneity Model

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