Joint Effect of Heavy Vehicles and Diminished Light Conditions on Paediatric Pedestrian Injuries in Backover Crashes: A UK Population-Based Study

Wiratama, Bayu Satria; Hsu, Li-Min; Yeh, Yung‐Sung; Chen, Chia‐Che; Saleh, Wafaa; Liu, Yen-Hsiu; Pai, Chih Wei

doi:10.3390/ijerph191811689

Cited by 4 publications

(3 citation statements)

References 29 publications

(51 reference statements)

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“…First, we compared the distribution of patient characteristics and comorbidities across study outcomes (discharged alive or deceased). As in our previous study [ 13 , 14 ], we utilized a p -value less than 0.2 from simple binary logistic regression model as the cut-off point to include independent variables into multivariate analysis using the multiple logistic regression model. The multiple binary logistic regression model was used to calculate adjusted odds ratios (AORs) between potential risk factors of COVID-19 and in-hospital mortality.…”

Section: Methodsmentioning

confidence: 99%

Joint Effect of Diabetes Mellitus and Hypertension on COVID-19 in-Hospital Mortality Stratified by Age Group and Other Comorbidities: A Cohort Retrospective Study Using Hospital-Based Data in Sleman, Yogyakarta

et al. 2022

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The joint effect of diabetes mellitus and hypertension on COVID-19 has rarely been evaluated but had potential as a major risk factor. This study aims to investigate the joint effect between diabetes mellitus and hypertension on in-hospital mortality among COVID-19 patients in Yogyakarta stratified by age groups and other comorbidities status. Methods: This cohort retrospective study collected data from two major hospitals in the Sleman district and a total of 2779 hospitalized COVID-19 patients were included in this study. The study outcome was COVID-19 in-hospital mortality (deceased or discharged alive) and the main risk factors were diabetes mellitus (DM) and hypertension (HT). The multiple logistic regression model was utilized to estimate adjusted odds ratio (AOR) and calculate the joint effect. Results: COVID-19 patients who have both DM and hypertension were three times (AOR: 3.21; 95% CI: 2.45–4.19) more likely to have in-hospital mortality than those without both comorbidities. The highest risk of in-hospital mortality was found in COVID-19 patients without other comorbidities (other than DM and HT) and younger age (age 0–40 years), with AOR equal to 22.40 (95% CI: 6.61–75.99). Conclusion: This study identified a joint effect between diabetes mellitus and hypertension which increases the risk of in-hospital mortality among COVID-19 patients. Targeted public health, clinical, and health education intervention should be carried out on individuals with diabetes mellitus and/or hypertension.

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Section: Methodsmentioning

confidence: 99%

Joint Effect of Diabetes Mellitus and Hypertension on COVID-19 in-Hospital Mortality Stratified by Age Group and Other Comorbidities: A Cohort Retrospective Study Using Hospital-Based Data in Sleman, Yogyakarta

et al. 2022

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“…Moreover, each major accident show complex risk coupling relationship, resulting from interactions among multiple factors. Many researchers have paid extensive attention to evaluate the joint effect of multiple factors, such as weather and lighting conditions [ 11 ], traffic lane and shoulder widths [ 12 ], vehicle type and light condition [ 13 ], environment, traffic, and population characteristics [ 14 ], economic stress and urbanization [ 15 ], combination of road infrastructure elements [ 16 ], enterprise administration, external environment and driver attitudes to traffic safety [ 17 ].…”

Section: Introductionmentioning

confidence: 99%

Risk chain identification of single-vehicle accidents considering multi-risk factors coupling effect

Li,

Wang,

Feng

et al. 2024

PLoS ONE

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The real-time monitoring on the risk status of the vehicle and its driver can provide the assistance for the early detection and blocking control of single-vehicle accidents. However, complex risk coupling relationship is one of the main features of single-vehicle accidents with high mortality rate. On the basis of investigating the coupling effect among multi-risk factors and establishing a safety management database throughout the life cycle of vehicles, single-vehicle driving risk network (SVDRN) with a three-level threshold was developed, and its topology features were analyzed to assessment the importance of nodes. To avoid the one-sidedness of single indicator, the multi-attribute comprehensive evaluation model was applied to measure the comprehensive effect of characteristic indicators for nodes importance. A algorithm for real-time monitoring of vehicle driving risk status was proposed to identify key risk chains. The result revealed that improper operation, speeding, loss of vehicle control and inefficient driver management were the sequence of top four risk factors in the comprehensive evaluation result of nodes importance (mean value = 0.185, SD = 0.119). There were minor differences of 0.017 in the node importance among environmental factors, among which non-standard road alignment had the larger value. The improper operation and non-standard road alignment were the highest combination correlation of factors affecting road safety, with the support of 51.81% and the confidence of 69.35%. This identification algorithm of key risk chains that combines node importance and its risk state threshold can effectively determine the high-frequency risk transmission paths and risk factors through multi-vehicle test, providing a basis for centralization management of transport enterprises.

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“…It should be emphasized that street lighting also serves pedestrian traffic while increasing the comfort of residents and the aesthetics of the urban space [15][16][17]. Street lighting studies focus on the Energies 2022, 15, 9106 2 of 22 comparative analysis of the obtained illumination levels of the number/type of incidents on the road [18][19][20][21]. The vast majority of studies show an unambiguous relationship depicting a decrease in road incidents with increased lighting levels [22][23][24].…”

Section: Introductionmentioning

confidence: 99%

Construction of a Measurement System with GPS RTK for Operational Control of Street Lighting

2022

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Street lighting should realise normative illuminance levels throughout the roadway. The determination of the illuminance level of a road requires the use of a measurement technique based on classic point measurements at a specific grid of measurement points. Classical stationary measurements using the method indicated in the prescriptive requirements are time-consuming and labor-intensive. The authors of the article have presented a concept of a measurement system that could be used to partially automate road lighting measurements and increase their universality. The proposed measurement system uses the simultaneous measurement of illuminance values from lux meters located on the roof of the vehicle. The measurement is carried out while the vehicle is driving on a lit road, and the illuminance values are localized using a global GPS satellite location system equipped with RTK corrections. The use of GPS RTK localization data corrections allowed the measurement results to be unambiguously assigned to post-measurement fields. On the basis of the collected measurement data, with the use of terrain maps, it is possible to determine in detail the illuminance parameters on the surveyed road sections. The paper presents the construction of a measurement system for the mobile measurement of street lighting intensity using a GPS RTK receiver, along with verification of its correct operation. The correctness of the system’s operation was confirmed on the basis of the Measurement System Analysis (MSA) method. The calculations performed confirmed an R&R result of 11.14%. The proposed solution allows data on the lighting parameters of the surveyed road section to be obtained in a quick and repeatable manner. As a result, it is possible to make a quick assessment of the street lighting condition of the entire road section. The proposed system has been verified under field conditions and the repeatability of the results obtained has been confirmed.

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Joint Effect of Heavy Vehicles and Diminished Light Conditions on Paediatric Pedestrian Injuries in Backover Crashes: A UK Population-Based Study

Cited by 4 publications

References 29 publications

Joint Effect of Diabetes Mellitus and Hypertension on COVID-19 in-Hospital Mortality Stratified by Age Group and Other Comorbidities: A Cohort Retrospective Study Using Hospital-Based Data in Sleman, Yogyakarta

Joint Effect of Diabetes Mellitus and Hypertension on COVID-19 in-Hospital Mortality Stratified by Age Group and Other Comorbidities: A Cohort Retrospective Study Using Hospital-Based Data in Sleman, Yogyakarta

Risk chain identification of single-vehicle accidents considering multi-risk factors coupling effect

Construction of a Measurement System with GPS RTK for Operational Control of Street Lighting

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