scholarly journals Effect of the New Zero-Tolerance Drinking and Driving Law on Hospital Admissions Due to Road Traffic Accidents in Brazil: an Interrupted Time Series Study From 2008 to 2019 Short Title New Zero-tolerance Drinking and Driving Law on Hospitalization in Brazil

Author(s):  
Cássia Rebeca Lima Souza ◽  
Letícia Xander Russo ◽  
Everton Nunes da Silva

Abstract We investigated the effect of the new zero-tolerance drinking and driving law (Law 12760) on hospital admissions due to road traffic accidents in Brazil by using interrupted time series from 2008 to 2019. We used ICD-10 codes for land transport accidents (V00-V89). The hospitalization rate was calculated per 100,000 inhabitants. The sources were the Hospital Information System and the Brazilian Institute for Geography and Statistics. For Brazil, the hospitalization rate decreased by 0.400841 (p=0.052; 95% CI -0.8060128 to -0.0043307) in the first month of the intervention (December 2012), followed by a significant change in the hospitalization trend. Compared to the period prior to the intervention, the monthly trend was reduced by 0.048215 (p<0.01; 95% CI 0.0614524 to 0.0349775) in the post period. These results stand in agreement with subgroup analyses for the Brazilian regions, although North and Northeast regions did not immediately reduce hospitalization rates (level change). Our results suggested that 436,581 hospitalizations for land transport accidents were averted by the new zero-tolerance drinking and driving law from Dec. 2012 to Dec. 2019 in Brazil.

2021 ◽  
Author(s):  
M Kantu Moonga ◽  
Peter Hangoma

ABSTRACT The burden of road traffic accidents has been increasing globally with Injuries and deaths from road traffic accidents accounting for a significant share of the global disease burden. This is evident especially in low and middle income countries (LMICs), were these injuries and deaths account for a reasonable share of the disease burden. In Zambia, for example, road traffic accidents are the third leading cause of death after HIV/AIDS and Malaria and more than half of these accidents happen at night. To reverse the growing incidence of road crushes, the government of Zambia put a ban on night travel for public service vehicles in November, 2016. While other countries such as Kenya have implemented similar bans, there is no evidence on the extent to which such a ban may reduce accidents. Objective to examine the effect of the night travel ban on road traffic accidents in Zambia after the implementation of the night travel ban. The study set out to established whether there was a change in the number of accidents. Design the study design was a single group interrupted time series analysis. Administrative data on road traffic accidents in Zambia for the period 1964 to 2018 was used. Setting this research was a national study, therefore it encompassed national statistics on road accidents of the entire country of Zambia. Main outcome measure The total counts of road traffic accidents in Zambia recorded during the study period 1964 to 2018. Results it was found that the night travel ban reduced the number of road crushes by 1,211 within one year of implementing the intervention. (p value 0.001, CI −1878.079 to −543.130). Conclusion the night travel ban may be an effective way of reducing the burden of road traffic injuries in Zambia and other LMICs. Section 1: What is already known on this topic In Zambia, there is a high number of road traffic accidents that occur during the night compared to the day time (fisa et al, 2019, ikabungo 2015 and patel 1979). Interventions have been put in place to reduce the number of accidents but there is no evidence of their effectiveness. In light of the lack of evidence of such interventions, the study was carried out to provide evidence to policy makers so that their decisions can be evidence based. Section 2: what the study adds Our study suggests that the policy proved to be effective in reducing the total number of accidents in Zambia. This study provides evidence of the effectiveness of an intervention which in turn provides policy makers with grounds on which to maintain such a policy. The study triggers further research on other effects of banning night time travel Copyright/licence for publication The Corresponding Author has the right to grant on behalf of all authors and does grant on behalf of all authors, a worldwide licence to the Publishers and its licensees in perpetuity, in all forms, formats and media (whether known now or created in the future), to i) publish, reproduce, distribute, display and store the Contribution, ii) translate the Contribution into other languages, create adaptations, reprints, include within collections and create summaries, extracts and/or, abstracts of the Contribution, iii) create any other derivative work(s) based on the Contribution, iv) to exploit all subsidiary rights in the Contribution, v) the inclusion of electronic links from the Contribution to third party material where- ever it may be located; and, vi) licence any third party to do any or all of the above.”


2018 ◽  
Vol 10 (4) ◽  
pp. 723-730
Author(s):  
Enayatollah Homaie Rad ◽  
Shahrokh Yousefzadeh-Chabok ◽  
Zahra Mohtasham-Amiri ◽  
Naeima Khodadadi-Hasankiadeh ◽  
Ali Davoudi-Kiakalayeh ◽  
...  

Abstract Driving in rain is very dangerous, and drivers seem not to drive properly whenever it rains. In such situations, the risk of driving increases on rainy days, especially after a prolonged dry period. This would be a problem for drivers steering on slippery roads. In this study, the effect of dry spells on road traffic accidents and resulting mortality in Rasht, Iran, located in the southern margin of the Caspian Sea, in a 3-yr period from 21 March 2014 to 19 March 2017 was examined using time series patterns. The results of the study showed that the first day after a dry spell had the greatest impact on road accidents and resulting injuries and deaths. It was also found that with increased length of a dry spell, the risk of accidents and related deaths and injuries rises.


2020 ◽  
Vol 19 ◽  

Road traffic accident is one of the main causes of injuries and fatalities worldwide, serious injuries and mortality in road collisions being a public health problem. The paper gives a overview of time series modeling and forecasting with application in road traffic injuries monitoring. After presenting of the main models and the methodological issues used in Box-Jenkins approach, the paper discusses two case studies, using a multiplicative SARIMA model and an intervention model, for a time series representing the number of mortal traffic accidents in USA, and the road traffic accidents with death and serious injuries in the UK, before and after the imposition of the Arabian embargo in November 1973.


2021 ◽  
Vol 8 (1) ◽  
Author(s):  
Kidane Alemtsega Getahun

AbstractRoad traffic accidents (RTA) are commonly encountered incidents that can cause injuries, death, and property damage to members of society. Ethiopia is one of the highest incident rates of road traffic accidents. Report of Transport and Communication from 2012 to 2014, shows an increment in the number of traffic accidents in Ethiopia. Amhara region accounted for 27.3% of the total road traffic accident-related deaths in Ethiopia during the year 2008/9, which is the highest share among all regions in Ethiopia. The current research aims to model the trend of injury, fatal and total road traffic accidents in the Amhara region from September 2013 to May 2017. Monthly reported traffic accidents were obtained from the traffic department of the Amhara region police commission. The most universal class of models for forecasting time series data called Auto-regressive Integrated Moving Averages (ARIMA) models were applied to model the trends and patterns of road traffic accident cases in the Amhara region. The average number of observed injury RTA, fatal RTA, and total RTA were 27.2, 14, and 78.2 per month respectively. It was observed that a relatively large number of RTA’s are reported on Tuesday, Thursday, and Saturday relative to other days of the week. The data also reveals that more than 60% of accidents involve drivers between the ages of 18–30 years. ARIMA (2,0,0) (1,0,0) ARIMA (2,0,0) and ARIMA (2,0,0) (1,1,0) were fitted as the best model for total injury accidents, fatal RTA and total RTA data respectively. A 48 months forecast was made based on the fitted models and it can be concluded that road traffic accident cases would continue at the non-decreasing rate in the Amhara region for the predicted periods. Therefore, the findings of this study draw attention to the importance of implementing improved better policies and close monitoring of road trafficking to change the existing non-decreasing trend of road traffic accidents in the region.


2018 ◽  
Vol 6 ◽  
Author(s):  
Maryam Parvareh ◽  
Asrin Karimi ◽  
Satar Rezaei ◽  
Abraha Woldemichael ◽  
Sairan Nili ◽  
...  

Abstract Background Road traffic accidents are commonly encountered incidents that can cause high-intensity injuries to the victims and have direct impacts on the members of the society. Iran has one of the highest incident rates of road traffic accidents. The objective of this study was to model the patterns of road traffic accidents leading to injury in Kurdistan province, Iran. Methods A time-series analysis was conducted to characterize and predict the frequency of road traffic accidents that lead to injury in Kurdistan province. The injuries were categorized into three separate groups which were related to the car occupants, motorcyclists and pedestrian road traffic accident injuries. The Box-Jenkins time-series analysis was used to model the injury observations applying autoregressive integrated moving average (ARIMA) and seasonal autoregressive integrated moving average (SARIMA) from March 2009 to February 2015 and to predict the accidents up to 24 months later (February 2017). The analysis was carried out using R-3.4.2 statistical software package. Results A total of 5199 pedestrians, 9015 motorcyclists, and 28,906 car occupants’ accidents were observed. The mean (SD) number of car occupant, motorcyclist and pedestrian accident injuries observed were 401.01 (SD 32.78), 123.70 (SD 30.18) and 71.19 (SD 17.92) per year, respectively. The best models for the pattern of car occupant, motorcyclist, and pedestrian injuries were the ARIMA (1, 0, 0), SARIMA (1, 0, 2) (1, 0, 0)12, and SARIMA (1, 1, 1) (0, 0, 1)12, respectively. The motorcyclist and pedestrian injuries showed a seasonal pattern and the peak was during summer (August). The minimum frequency for the motorcyclist and pedestrian injuries were observed during the late autumn and early winter (December and January). Conclusion Our findings revealed that the observed motorcyclist and pedestrian injuries had a seasonal pattern that was explained by air temperature changes overtime. These findings call the need for close monitoring of the accidents during the high-risk periods in order to control and decrease the rate of the injuries.


2021 ◽  
Author(s):  
Kidane Alemtsega

Abstract Road traffic accidents are commonly encountered incidents that can cause injuries, death, and property damage to members of society. Ethiopia is one of the highest incident rates of road traffic accidents. Report of Transport and Communication from 2012–2014, shows an increment in the number of traffic accidents in Ethiopia. Amhara region accounted for 27.3% of the total road traffic accident-related deaths in Ethiopia during the year 2008/9, which is the highest share among all regions. The current research aims to model the trend of injury, fatal and total road traffic accidents in the Amhara region from September 2013 to May 2017. Monthly reported traffic accidents were obtained from traffic police offices and other concerned governmental organizations at the zonal and regional levels. The most universal class of models for forecasting time series data called Auto-regressive Integrated Moving Averages models are applied to model the trends and patterns of road traffic accident cases in the Amhara region. The average number of observed injury RTA, fatal RTA, and total RTA were 27.2, 14, and 78.2 per month respectively. It was observed that a relatively large number of RTA’S are reported on Tuesday, Thursday, and Saturday relative to other days of the week. The data also reveals that more than 60% of accidents involve drivers between the ages of 18–30 years. ARIMA (2,0,0) (1,0,0) ARIMA (2,0,0) and ARIMA (2,0,0) (1,1,0) were fitted as the best model for total injury accidents, fatal RTA and total RTA data respectively. A 48 months forecast was made based on the fitted models and it can be concluded that road traffic accident cases would continue at the non-decreasing rate in the Amhara region for the predicted periods. Therefore, the findings of this study draw attention to the importance of implementing improved better policies and close monitoring of road trafficking to change the existing trend of road traffic accidents in the region.


2020 ◽  
Author(s):  
Samad Rouhani ◽  
Reza Esmaeili ◽  
Jamshid YazdaniCharati ◽  
Masoud Khandehroo

Abstract Background : Low and middle income countries has recently implemented various reforms toward Universal Health Coverage (UHC). This study aims to assess the impact of Family Physician Plan (FPP) and Health Transformation Plan (HTP) on hospitalization rate in Iran.Methods: We conducted an Interrupted Time Series (ITS) design. The data was monthly hospitalization of Mazandaran province over a period of 7 years. Segmented regression analysis was applied in R version 3.6.1.Results: A decreasing trend by -0.056 for every month was found after implementation of Family Physician Plan, but this was not significant. Significant level change was appeared at the beginning of Health Transformation Plan and average of hospitalization rate increased by 1.04 (P<0.001). Also hospitalization trend increased significantly nearly 0.09 every month in period after Health Transformation Plan (P<0.001).Conclusions: Family physician created a decreasing trend for hospitalization. Development of FPP to urban area of Iran will lead to health system efficiency. HTP with lower user fee in public hospitals and clinics as well as fee-for-service mechanisms, stimulated both level and trend changes in hospital admissions. Some integrated health policy is required to optimize the implementation of diverse simultaneous reforms in low and middle-income countries.


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