scholarly journals A broken bone no longer a burden to carry: a destination in sight

2021 ◽  
Vol 4 (2) ◽  
Author(s):  
Saabea Owusu Konadu ◽  
Dominic Konadu-Yeboah ◽  
Gilda Opoku ◽  
Obed Nyarko Ofori
Keyword(s):  
Cause Of Death ◽  
Case Fatality Rate ◽  
Traffic Accidents ◽  
Road Traffic ◽  
Case Fatality ◽  
Fatality Rate ◽  
Road Traffic Accidents ◽  
The Third

Worldwide the third leading cause of death among persons under 40 years is attributed to trauma(1). In Ghana road traffic accidents have a case fatality rate of about 17%(3). Over the years with interventions and policies by AO Alliance the burden and morbidity following trauma especially road traffic accidents have reduced; with a destination in sight where a broken bone is no longer a burden to carry.

ADHD is a Risk Factor of Road Crashes: A Purposive Study of Finding Relation between ADHD and Road Traffic Accident in Bangladesh

2018 ◽  
Vol 9 (08) ◽  
pp. 20531-20536
Author(s):  
Nusrat Shamima Nur ◽  
M. S. l. Mullick ◽  
Ahmed Hossain
Keyword(s):  
Risk Factor ◽  
Road Traffic Accident ◽  
Traffic Accident ◽  
Traffic Accidents ◽  
Road Traffic ◽  
Fatality Rate ◽  
Road Traffic Accidents ◽  
Road Crashes ◽  
Road Crash ◽  
Day By Day

Background: In Bangladesh fatality rate due to road traffic accidents is rising sharply day by day. At least 2297 people were killed and 5480 were injured in road traffic accidents within 1st six months of 2017.Whereas in the previous year at 2016 at least 1941 people were killed and 4794 were injured within the 1st six months. No survey has been reported in Bangladesh yet correlating ADHD as a reason of impulsive driving which ends up in a road crash.

scholarly journals An overview on pedestrians involved in traffic accidents in Latvia: Years 2010-2014

2018 ◽  
Vol 40 ◽  
pp. 01004 ◽  
Author(s):  
A. Bukova-Zideluna ◽  
A. Villerusa ◽  
A. Lama
Keyword(s):  
Injury Risk ◽  
Traffic Accidents ◽  
Road Traffic ◽  
Capital City ◽  
Winter Period ◽  
Fatality Rate ◽  
Road Traffic Accidents ◽  
Related Factors ◽  
The Road ◽  
Adverse Weather

Latvian national road accident statistics shows that for the vulnerable road users’ situation is critical, since pedestrians are involved in more than a quarter of road traffic accidents. This paper gives an analysis on pedestrians involved in road traffic accidents based on the road safety accident database in Latvia for the years 2010–2014. The total number of cases does not change significantly, however there has been an increase in pedestrian fatality rates over the period. From the total number of traffic accidents with pedestrians involved 92.4% had injuries, 6.8% were lethal cases and others didn't suffer from injuries. Out of 342 fatalities 37.7% occurred during the winter period, 56.1% in adverse weather (overcast, fog, rain or snow), 69.9% during twilight or darkness and 26.9% on weekends. Out of all accidents 55.3% occurred in the capital city Riga, but fatality rate was higher on main state roads. 8.1% of the total number of pedestrians involved in road traffic accidents was found to have alcohol in their blood right after the road traffic accident. Fatality rate was higher for those with exceeded BAC. Pedestrian injury risk analysis was associated with demographical and traffic-related factors, urbanization, visibility and seasonal patterns.

scholarly journals Characteristics of Road Traffic Accident Cases Reported in a Tertiary Military Hospital

2020 ◽  
Vol 15 (2) ◽  
pp. 213-217
Author(s):  
Md Moshiur Rahman ◽  
Farzana Zafreen ◽  
Abu Noman Mohammed Mosleh Uddin
Keyword(s):  
Cause Of Death ◽  
Road Safety ◽  
Road Traffic Accident ◽  
Traffic Accident ◽  
Traffic Accidents ◽  
Road Traffic ◽  
Military Hospital ◽  
Road Traffic Accidents ◽  
Traffic Crashes ◽  
Road Traffic Crashes

Introduction: Road traffic accidents (RTA) are the eighth leading cause of death globally, and the leading cause of death in Bangladesh. The road safety situation in Bangladesh has been deteriorating with increasing number of road accident deaths, largely as direct consequences of rapid growth in population, motorization, urbanization and lack of investment in road safety. Objectives: To describe the injury characteristics of road traffic accidents cases that reported at Combined Military Hospital (CMH), Dhaka. Materials and Methods: This descriptive cross-sectional hospital based study was conducted on all the RTA cases reported to medical inspection room CMH, Dhaka from 01 March to 30 June 2010. A total of 126 RTA victims irrespective of age and sex were included, data were collected by face to face interview using a pre-tested questionnaire. Results: A total of 126 road traffic accident victims both sexes were studied. The majority of the study subjects were men 103 (81.7%) and most of them were in 31-40 years group (27%), Muslims (98.41%) were the majority. In our study regarding educational qualification of RTA victims most of them were SSC qualified (44’4%) and primary level (15.1%). Military services holder (45.2%) was the majority of road traffic crash victims. Bus/Minibus (32.5%) was responsible for the majority of road traffic crashes and motor vehicle passengers (42.9%) were main victims. Laceration & cut injury were (38.1%) and multiple injury (18.3%) were the most common injury. Main roads (49.2%) were the commonest site of the accidents.  Regarding place of occurrence main roads 62 (49.2%) was the most common site and noon 41 (32.5%) was the most common time of occurrence of accidents. Conclusion: Road traffic crashes constitute a major public health problem in our setting and contribute significantly to unacceptably high morbidity and mortality. Urgent preventive measures targeting at reducing the occurrence of road traffic crashes is necessary to reduce the morbidity and mortality resulting from these injuries. Early recognition and prompt treatment of road traffic injuries is essential for optimal patient outcome. JAFMC Bangladesh. Vol 15, No 2 (December) 2019: 213-217

scholarly journals Covid-19 Fatality Rate in Third World Countries: A Review of Environmental Challenges and Impacts on Public Health and Human Security

2021 ◽  
Vol 9 (1) ◽  
pp. 39-44
Author(s):  
Chukwuemeka E. Etodike ◽  
◽  
Elsie C. Ekeghalu ◽  
Kelechi Johnmary Ani ◽  
Emmanuel Mutambara
Keyword(s):  
Public Health ◽  
Case Fatality Rate ◽  
Third World ◽  
Case Fatality ◽  
Personal Hygiene ◽  
Fatality Rate ◽  
Environmental Challenges ◽  
The Third ◽  
The Third World ◽  
Sanitary Conditions

The novel coronavirus is far from being over; with the case-fatality rate (CFR) hitting more than 16,500 globally as of July, there is a worry that despite the fact that the global CFR curve is showing signs of flattening, the environmental peculiarities of the third world countries may be abetting global efforts towards containing the virus. Therefore, this review x-rayed these peculiarities in the light of their current concern in public health as per their contribution to the persistent surge in CFR in most developing nations. Given that the virus is transmitted via droplets, the review focused on how the state of public and environmental challenges such as air as well as water pollution and personal hygiene could be abetting the surge in coronavirus infections and morbidity. The review revealed, among other things, that challenges associated with poor sanitary conditions, lack of potable water, unventilated environments, air pollution, and poor inter-personal hygiene are devastating challenges in the fight against the pandemic. The implication is that since these conditions are systematic in nature, it may take more than average effort and public sacrifice to checkmate the case-fatality rate of the virus in the third world. Therefore, call for studies is necessary to establish empiricism for CFR patterns and ratio across areas in deplorable environmental and sanitary conditions.

Road Traffic Collisions—Case Fatality Rate, Crash Injury Rate, and Number of Motor Vehicles: Time Trends between a Developed and Developing Country

2010 ◽  
Vol 76 (9) ◽  
pp. 977-981 ◽  
Author(s):  
Sanchia S. Goonewardene ◽  
Khalid Baloch ◽  
Keith Porter ◽  
Ian Sargeant ◽  
Gamini Punchihewa
Keyword(s):  
Visual Impairment ◽  
Case Fatality Rate ◽  
Road Traffic ◽  
Case Fatality ◽  
Injury Rate ◽  
Cross Sectional Study ◽  
Motor Vehicles ◽  
Fatality Rate ◽  
Cross Sectional ◽  
The Uk

Road traffic collisions (RTCs) are one of the most common preventable causes of death and disability worldwide. We investigated changes in numbers of motor vehicles, case fatality rate, and crash injury rate for the most present recorded year (2002) 5 and 10 years before that in the United Kingdom (UK) and Sri Lanka (SL). We also investigated environmental and individual factors impacting patients at South Birmingham Trauma Unit, UK and Colombo General Hospital, SL. We conducted a descriptive cross-sectional study (both quantitative and qualitative). Over the 10-year period, numbers of motor vehicles have risen in both countries; the crash injury remained stable in both countries. Case fatality rate (far higher) in SL has decreased, as in the UK. Three hundred and twenty-five patients took part in the survey in SL, with 83 in the UK. In the categories investigated, including patient demographics, RTC environment, visual impairment, pedestrian and driver factors, the majority of results were significantly different between the two countries. Target factors such as inadequate street lighting, visual impairment, speeding, and not wearing seatbelts at time of accident were identified, and recommendations developed as a result.

scholarly journals Pattern of traffic rules violations and the risk of fatal injuries in Mysuru city

2017 ◽  
Vol 4 (5) ◽  
pp. 1608
Author(s):  
Rashmi A. ◽  
Shrinivasa B. M. ◽  
Shrinivasa B. M. ◽  
Shrinivasa B. M. ◽  
Narayanamurthy M. R. ◽  
...  
Keyword(s):  
Road Safety ◽  
Traffic Accidents ◽  
Road Traffic ◽  
Negative Impact ◽  
Case Fatality ◽  
Road Traffic Accidents ◽  
Cross Sectional ◽  
The Government ◽  
Traffic Rules ◽  
Fatal Injuries

Background: In India, Road safety is an issue of national concern. Road accidents create negative impact on the economy, public health and the general welfare of the people. Every year the lives of approximately 1.25 million people are cut short as a result of road traffic accidents. Between 20 and 50 million more people suffer non-fatal injuries, with many incurring a disability as a result of their injury. Reliable road traffic injury surveillance is an important component of evidence based road safety policy making. Methods: A cross sectional study was conducted for the period of 3 months in Mysuru city. The present study included all the 5 Traffic Police stations coming under Mysuru city. Before conducting the study, permission to collect all the relevant information is obtained from the in charge of the stations. Retrospective data regarding the traffic rules violations, fatal and non-fatal injuries are obtained in the fixed format prescribed by the government which is maintained uniformly by all the police stations. Data collected was entered in MS office excel sheet and analyzed using statistical package for social sciences (SPSS) software version 22.0. Results: From the study we can observe that there is a drastic increase in the total number of traffic crimes in 2015 compared to 2014. Case fatality of road traffic accident showed decreasing trend from the year 2013. It was evident from the study that there was no significant correlation between total number of accidents every year with violation of traffic rules (r = -0.86 p =0.338). Similarly  There was no significant correlation between the number of persons killed every year with violation of rules by riding two wheeler without helmet(r = -0.380 p =0.752). Conclusions: With massive investment in roads and the exponential growth in the number of vehicles it has become necessary to have a system, which integrates all disciplines that influence road safety. In depth evaluation of the road traffic accidents to build infrastructures and to reinforce the regulations specific to local needs is required. 

scholarly journals Omicron Impact in India: An Early Analysis of the Ongoing COVID-19 Third Wave

2022 ◽  
Author(s):  
Rajesh Ranjan
Keyword(s):  
Rapid Growth ◽  
Case Fatality Rate ◽  
Reproduction Number ◽  
Case Fatality ◽  
Sir Model ◽  
Third Wave ◽  
Fatality Rate ◽  
Sequencing Data ◽  
The Third ◽  
Second Wave

India is currently experiencing the third wave of COVID-19, which began on around 28 Dec. 2021. Although genome sequencing data of a sufficiently large sample is not yet available, the rapid growth in the daily number of cases, comparable to South Africa, United Kingdom, suggests that the current wave is primarily driven by the Omicron variant. The logarithmic regression suggests the growth rate of the infections during the early days in this wave is nearly four times than that in the second wave. Another notable difference in this wave is the relatively concurrent arrival of outbreaks in all the states; the effective reproduction number (Rt) although has significant variations among them. The test positivity rate (TPR) also displays a rapid growth in the last 10 days in several states. Preliminary estimates with the SIR model suggest that the peak to occur in late January 2022 with peak caseload exceeding that in the second wave. Although the Omicron trends in several countries suggest a decline in case fatality rate and hospitalizations compared to Delta, a sudden surge in active caseload can temporarily choke the already stressed healthcare India is currently experiencing the third wave of COVID-19, which began on around 28 Dec. 2021. Although genome sequencing data of a sufficiently large sample is not yet available, the rapid growth in the daily number of cases, comparable to South Africa, United Kingdom, suggests that the current wave is primarily driven by the Omicron variant. The logarithmic regression suggests the growth rate of the infections during the early days in this wave is nearly four times than that in the second wave. Another notable difference in this wave is the relatively concurrent arrival of outbreaks in all the states; the effective reproduction number (Rt) although has significant variations among them. The test positivity rate (TPR) also displays a rapid growth in the last 10 days in several states. Preliminary estimates with the SIR model suggest that the peak to occur in late January 2022 with peak caseload exceeding that in the second wave. Although the Omicron trends in several countries suggest a decline in case fatality rate and hospitalizations compared to Delta, a sudden surge in active caseload can temporarily choke the already stressed healthcare infrastructure. Therefore, it is advisable to strictly adhere to COVID-19 appropriate behavior for the next few weeks to mitigate an explosion in the number of infections.

scholarly journals Economic development and road traffic injuries and fatalities in Thailand: an application of spatial panel data analysis, 2012–2016

2019 ◽  
Vol 19 (1) ◽  
Author(s):  
Rapeepong Suphanchaimat ◽  
Vorasith Sornsrivichai ◽  
Supon Limwattananon ◽  
Panithee Thammawijaya
Keyword(s):  
Public Health ◽  
Case Fatality Rate ◽  
Negative Binomial ◽  
Road Traffic ◽  
Statistical Significance ◽  
Case Fatality ◽  
Gdp Per Capita ◽  
Fatality Rate ◽  
Incidence Proportion ◽  
Per Capita

Abstract Background Road 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. Methods A 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. Results The 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. Conclusion The 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.

scholarly journals Investigating the Causes of Death in the Injured of Traffic Accidents Referred to Vali-Asr Hospital in Arak, Based on Oral Autopsy and Forensic Autopsy

2020 ◽  
Vol 23 (3) ◽  
pp. 338-347
Author(s):  
Mohammad Jamalian ◽  
◽  
Mohsen Eslamdost ◽  
Ali Rezaee ◽  
Shabanali Alizadeh ◽  
...  
Keyword(s):  
Cause Of Death ◽  
Traffic Accidents ◽  
Causes Of Death ◽  
Road Traffic ◽  
Medical Center ◽  
Level Of Service ◽  
Road Traffic Accidents ◽  
Medical Sciences ◽  
Ethical Considerations ◽  
The Mean

Background and Aim: The deaths caused by traffic accidents are one of the three leading causes of death in Iran. Considering that all deaths from traffic accidents in the forensic organization are undergoing autopsy and also in the treatment centers under oral autopsies, the cause of death is determined, we determined that the cause of reported death from oral autopsy and medical autopsy Compare the law. Methods & Materials: In this descriptive study, patients who were admitted to the forensic medical center during the year 1395 admitted to the Vali-e-Asr Hospital in Arak, were referred. The causes of death in Vali-asr Hospital were evaluated and compared with the outcome of the forensic oral hearing.  Ethical Considerations: This study ethcally approved by the ethics committee of the Arak University of Medical Sciences (Code: IR.ARAKMU.REC.1395.226). Results: In this study, 109 patients (1.33%) died from a total of 8153 patients with traffic accidents referred to Valiasr hospital in Arak. Of these, 68.8% were male and 31.2% were women. The Mean±SD age of the patients died was 44.03±22.43 years. Also, 59.6% of the dead died during the first 24 hours of the accident. The most common cause of death, according to the results of oral autopsy, was “multiple injuries,” accounting for 49.5% of the patients in 45 patients. Conclusion: Abundance of deaths among patients with road traffic accidents and they referred to Valiasr hospital, which was 1.33%. According to the existing standards and considering that the mortality rate in this center is less than 1.5%. It seems that the level of service delivery in this center is favorable.

scholarly journals Novel Uses of Three-Parameter Logistic Models and First-Derivative Models for the Coronavirus Disease (COVID-19) Epidemic in the United States, in Three Distinct Scenarios

2020 ◽  
Author(s):  
Bishoy T. Samuel
Keyword(s):  
Logistic Model ◽  
Case Fatality Rate ◽  
Case Fatality ◽  
Logistic Models ◽  
The United States ◽  
Fatality Rate ◽  
First Derivative ◽  
The Third ◽  
Variable Versus ◽  
Growth Deceleration

Abstract Background:Forecasting the current coronavirus disease (COVID-19) epidemic in the United States necessitates novel mathematical models for accurate predictions. This paper examines novel uses of three-parameter logistic models and first-derivative models through three distinct scenarios that have not been examined in the literature as of July 14, 2020.Methods:Using publicly available data, statistical software was used to conduct a non-linear least-squares estimate to generate a three-parameter logistic model, with a subsequently generated first-derivative model. In the first scenario a logistic model was used to examine the natural log of COVID-19 cases as the dependent variable (versus day number), on July 11 and May 1. Independent t-test analyses were used to test comparative coefficient differences across models. In the second scenario, a first-derivative model was derived from a base three-parameter logistic model for April 27, examining time to peak mortality and decrease in case fatality rate. In the third scenario, a first-derivative model of mortality through July 11 as the dependent variable, versus confirmed cases, was generated to look at case fatality rate relative to increasing cases.Results:All models generated were statistically significant with R2 > 99%. The logistic models in the first scenario best predicted time to growth deceleration in the natural log of cases in the U.S. (slowing of exponential growth), estimated at March 11, 2020. For the May 1 data, independent t-test analyses of comparative coefficients across models were useful to track improvements from implemented public health measures. The first-derivative model in the second scenario on April 27, when the epidemic was more controlled, showed peak mortality around April 12-13, with a case fatality rate of < 1,000 deaths and trending down. The first-derivative model in the third scenario estimated a near-zero case fatality rate to occur at 4 million confirmed cases. It has not been affected by fluctuations in mortality from June 29 through July 11.Conclusion:Three-parameter logistic models and first-derivative models have utility in predicting time to growth deceleration, and case fatality rates relative to cases. They can objectively assess improvements of implemented epidemiologic measures and have applicable public health safety implications.

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