Risk factors associated with bus accident severity in the United States: A generalized ordered logit model

2012 ◽  
Vol 43 (3) ◽  
pp. 171-180 ◽  
Author(s):  
Sigal Kaplan ◽  
Carlo Giacomo Prato
2015 ◽  
Vol 143 (12) ◽  
pp. 2520-2531 ◽  
Author(s):  
W. S. KRUEGER ◽  
E. D. HILBORN ◽  
R. R. CONVERSE ◽  
T. J. WADE

SUMMARYHelicobacter pylori imparts a considerable burden to public health. Infections are mainly acquired in childhood and can lead to chronic diseases, including gastric ulcers and cancer. The bacterium subsists in water, but the environment's role in transmission remains poorly understood. The nationally representative National Health and Nutrition Examination Survey (NHANES) was examined for environmental risk factors associated with H. pylori seroprevalence. Data from 1999–2000 were examined and weighted to represent the US population. Multivariable logistic regression estimated adjusted odds ratios (aOR) and 95% confidence intervals (CI) for associations with seropositivity. Self-reported general health condition was inversely associated with seropositivity. Of participants aged <20 years, seropositivity was significantly associated with having a well as the source of home tap water (aOR 1·7, 95% CI 1·1–2·6) and living in a more crowded home (aOR 2·3, 95% CI 1·5–3·7). Of adults aged ⩾20 years, seropositivity was not associated with well water or crowded living conditions, but adults in soil-related occupations had significantly higher odds of seropositivity compared to those in non-soil-related occupations (aOR 1·9, 95% CI 1·2–2·9). Exposures to both well water and occupationally related soil increased the effect size of adults' odds of seropositivity compared to non-exposed adults (aOR 2·7, 95% CI 1·3-5·6). Environmental exposures (well-water usage and occupational contact with soil) play a role in H. pylori transmission. A disproportionate burden of infection is associated with poor health and crowded living conditions, but risks vary by age and race/ethnicity. These findings could help inform interventions to reduce the burden of infections in the United States.


Author(s):  
Qiang Zeng ◽  
Wei Hao ◽  
Jaeyoung Lee ◽  
Feng Chen

This study presents an empirical investigation of the impacts of real-time weather conditions on the freeway crash severity. A Bayesian spatial generalized ordered logit model was developed for modeling the crash severity using the hourly wind speed, air temperature, precipitation, visibility, and humidity, as well as other observed factors. A total of 1424 crash records from Kaiyang Freeway, China in 2014 and 2015 were collected for the investigation. The proposed model can simultaneously accommodate the ordered nature in severity levels and spatial correlation across adjacent crashes. Its strength is demonstrated by the existence of significant spatial correlation and its better model fit and more reasonable estimation results than the counterparts of a generalized ordered logit model. The estimation results show that an increase in the precipitation is associated with decreases in the probabilities of light and severe crashes, and an increase in the probability of medium crashes. Additionally, driver type, vehicle type, vehicle registered province, crash time, crash type, response time of emergency medical service, and horizontal curvature and vertical grade of the crash location, were also found to have significant effects on the crash severity. To alleviate the severity levels of crashes on rainy days, some engineering countermeasures are suggested, in addition to the implemented strategies.


2018 ◽  
Vol 257 ◽  
pp. 58-68 ◽  
Author(s):  
M.K. Nielsen ◽  
M.A. Branan ◽  
A.M. Wiedenheft ◽  
R. Digianantonio ◽  
J.A. Scare ◽  
...  

2017 ◽  
Vol 132 (3) ◽  
pp. 366-375 ◽  
Author(s):  
Haylea A. Hannah ◽  
Roque Miramontes ◽  
Neel R. Gandhi

Objectives: The objectives of our study were (1) to determine risk factors associated with tuberculosis (TB)–specific and non–TB-specific mortality among patients with TB and (2) to examine whether risk factors for TB-specific mortality differed from those for non–TB-specific mortality. Methods: We obtained data from the National Tuberculosis Surveillance System and included all patients who had TB between 2009 and 2013 in the United States and its territories. We used multinomial logistic regression analysis to determine the adjusted odds ratio (aOR) of each risk factor for TB-specific and non–TB-specific mortality. Results: Of 52 175 eligible patients with TB, 1404 died from TB, and 2413 died from other causes. Some of the risk factors associated with the highest odds of TB-specific mortality were multidrug-resistant TB diagnosis (aOR = 3.42; 95% CI, 1.95-5.99), end-stage renal disease (aOR = 3.02; 95% CI, 2.23-4.08), human immunodeficiency virus infection (aOR = 2.63; 95% CI, 2.02-3.42), age 45-64 years (aOR = 2.57; 95% CI, 2.01-3.30) or age ≥65 years (aOR = 5.76; 95% CI, 4.37-7.61), and immunosuppression (aOR = 2.20; 95% CI, 1.71-2.83). All of these risk factors except multidrug-resistant TB were also associated with increased odds of non–TB-specific mortality. Conclusion: TB patients with certain risk factors have an elevated risk of TB-specific mortality and should be monitored before, during, and after treatment. Identifying the predictors of TB-specific mortality may help public health authorities determine which subpopulations to target and where to allocate resources.


2013 ◽  
Vol 243 (12) ◽  
pp. 1737-1745 ◽  
Author(s):  
Chika C. Okafor ◽  
David L. Pearl ◽  
Sandra L. Lefebvre ◽  
Mansen Wang ◽  
Mingyin Yang ◽  
...  

Sign in / Sign up

Export Citation Format

Share Document