Hamed Al Reesi

Statistical modelling of road traffic accidents forms the original insight and implementation for road safety policies. Recently, there is an emerging trend to more progressively analysing road traffic accidents data using time series techniques. However, with sophisticated tools utilized for identification and optimally fitting time series models, it is important to bear in mind the possible bias in the resulting responses. The purpose of this study is to evaluate optimal time series models for determination orders of parameters in the road traffic accidents data compared to the manual process. Time series traffic accidents data were gathered for eighteen years from secondary sources, and statistical time-series analyses were performed. Time series decomposition, stationarity and seasonality were checked to identify the appropriate models for road traffic accidents. Meanwhile, optimally analysis of data was conducted with a comparison of both the results. AIC, BIC and other error v...

In recent years, Oman has seen a shift in the burden of diseases towards road accidents. The main objective of this paper, therefore, is to describe key characteristics of heavy vehicle crashes in Oman and identify the key driving behaviours that influence fatality risks. Crash data from January 2009 to December 2011 were examined and it was found that, of the 22,543 traffic accidents that occurred within this timeframe, 3,114 involved heavy vehicles. While the majority of these crashes were attributed to driver behaviours, a small proportion was attributed to other factors. The results of the study indicate that there is a need for a more thorough crash investigation process in Oman. Future research should explore the reporting processes used by the Royal Oman Police, cultural influences on heavy vehicle operations in Oman and improvements to the current licensing system.

The SARS-CoV2 infection emerged in Iraq in February 2020. In this study, we describe the clinical characteristics and outcomes of the initial SARS-CoV2 patients. A total of 529 patients were included in this study from April to August 2020 in Anbar province. Patients were confirmed to be infected in nasal swabs by real-time RT-PCR or chest CT scan findings. The gathered data included the demographic variables (age, sex, residency), presence of comorbidity (hypertension, diabetes mellitus, respiratory illness, coronary heart disease, chronic kidney disease, obesity), and history of contact with a known case of SARS-CoV2. The results showed that 64% of the patients were males and 36% were female, 48% of the patients lied in the age category 40-59 years, 74% had exposure history, 95% did not have a history of smoking, 46% were overweight, 60% had no comorbidity, 78% presented with mild/moderate disease, 70% had typical chest CT scan finding (CO-RAD 5), and 76% of patients showed positi...

Background and objective: Higher education has witnessed significant changes in order to provide quality education that meets the needs of the 21st century. To be in par with international best practices, the foundation program was established to prepare the high school leavers for higher education in Oman, a middle-eastern country. The aims of this study were to (1) assess the relationship between students’ high school scores and their cumulative grade point average (CGPA) among the graduates of the nursing program in Oman, and (2) compare the CGPA of the student who attended the general foundation program (GFP) compared to the ones who did not attend the GFP. Methods: Secondary data analysis approach was used to access the alumni files one year before and one year after the implementation of the GFP. A retrospective approach was used to gather data from the alumni files, which included high school grade, whether the graduates have attended the foundation program or not, their firs...

In recent years, Oman has seen a shift in the burden of diseases towards road accidents. The main objective of this paper, therefore, is to describe key characteristics of heavy vehicle crashes in Oman and identify the key driving behaviours that influence fatality risks. Crash data from January 2009 to December 2011 were examined and it was found that, of the 22,543 traffic accidents that occurred within this timeframe, 3,114 involved heavy vehicles. While the majority of these crashes were attributed to driver behaviours, a small proportion was attributed to other factors. The results of the study indicate that there is a need for a more thorough crash investigation process in Oman. Future research should explore the reporting processes used by the Royal Oman Police, cultural influences on heavy vehicle operations in Oman and improvements to the current licensing system.

In recent years, Oman has seen a shift in the burden of diseases towards road accidents. The main objective of this paper, therefore, is to describe key characteristics of heavy vehicle crashes in Oman and identify the key driving behaviours that influence fatality risks. Crash data from January 2009 to December 2011 were examined and it was found that, of the 22,543 traffic accidents that occurred within this timeframe, 3,114 involved heavy vehicles. While the majority of these crashes were attributed to driver behaviours, a small proportion was attributed to other factors. The results of the study indicate that there is a need for a more thorough crash investigation process in Oman. Future research should explore the reporting processes used by the Royal Oman Police, cultural influences on heavy vehicle operations in Oman and improvements to the current licensing system.

Fatalities from road traffic crashes (RTCs) are a public health challenge for low- and middle-income countries, especially those experiencing epidemiological transition. This paper aims to describe demographics and trend analysis of fatalities of RTCs in Oman from 1995 to 2009. The RTC data from 1995 to 2009 were obtained from the published reports of the Royal Oman Police (ROP). Data were extracted on the distribution of deaths by age, sex, nationality, mode of travel (driver, passenger, pedestrians), and type of vehicle (four- vs. two-wheelers). Trend analyses were carried out using the Chi-square for the percentages of deaths and linear regression for rates. A total of 9,616 deaths from RTCs were reported from 1995 to 2009. Of 9,616 fatalities, 4,666 (48.5%) were aged 26-50 years, 7,927 (82.4%) were males, 7,215 (75.0%) were Omanis, and 2,278 (23.8%) were pedestrians. Overall, mortality increased by around 50% from 479 deaths during 1995 to 953 deaths during 2009. There was a sig...

Objectives Studies from different parts of the world have indicated that the impact of road traffic incidents disproportionally affects young adults. Few known studies have been forthcoming from Arabian Gulf countries. Within Oman, a high proportion of the population is under the age of 20. Coupled with the drastic increase of motorization in recent years there is a need to understand the state of road safety among young people in Oman. The current research aimed to explore the prevalence and characteristics of road traffic injuries among young drivers aged 17-25 years. Methods Crash data from 2009-2011 was extracted from the Directorate General of Traffic, Royal Oman Police (ROP) database in Oman. The data was analyzed to explore the impact of road crashes on young people (17-25 years), the characteristics of young driver crashes and how these differ from older drivers and to identify key predictors of fatalities in young driver crashes. Results Overall, young people were over-repr...

Background: Recent affluence, assisted by exploitation of hydrocarbon, has sparked unprecedented economic growth and influx of all façades of modernity in Oman. Different statistical models have examined the relationship between economic growth, motorization rates, and road traffic fatalities. However, such a relationship in Oman has never been described. Objective: To describe and analyze the trend of road traffic injuries (RTIs) in relation to motorization rates and economic growth during the period from 1985 to 2009 using Smeed's (1949) model and Koren and Borsos's (2010) model. Methods: The study is based on national data reported between 1985 and 2009. Data on the population and gross domestic product (GDP) per capita in U.S. dollars were gathered from the Ministry of National Economy reports. Data on the number of vehicles and road traffic crashes, fatalities, and injuries were gathered from the Royal Oman Police (ROP) reports. Crash, fatality, and injury rates per 1000 vehicles and per 100,000 population were computed. Linear regression analysis was carried out to estimate the average annual changes in the rates. Smeed's (1949) and Koren and Borsos's (2010) models were used to predict the relations between motorization and road traffic fatalities in Oman. In addition, a cross-sectional analysis of year 2007 data for a number of Arab countries was carried out. Results: The GDP per capita increased from US$6551 in 1985 to US$25,110 in 2009 with an annual increase of UR$547 per capita. The motorization rates increased by 36 percent from 1745 per 10,000 population in 1985 to 2382 per 10,000 population in 2009. Both Smeed's (1949) and Koren and Borsos's (2010) models had a high goodness of fit, with R2 greater than 0.70. This indicated that road traffic fatalities in Oman may have a direct relationship with increased motorization. The cross-sectional analysis showed that the relation between crash fatalities and motorization rates in Oman and the United Arab Emirates can be better explained by Koren and Borsos's (2010) model than other countries. Conclusion: Recent economic growth in Oman was associated with an increase in motorization rates, which in turn has resulted in an increased burden of road traffic fatalities and injuries.