State Failure and Transnational Terrorism

2016 ◽  
Vol 62 (3) ◽  
pp. 471-495 ◽  
Author(s):  
Justin George
Keyword(s):  
Negative Binomial ◽  
Estimating Equation ◽  
State Failure ◽  
Generalized Estimating Equation ◽  
Failed States ◽  
Transnational Terrorism ◽  
States Experience ◽  
The Relationship ◽  
Concentration Curves ◽  
Binomial Models

Based on a country panel from 1995 to 2013, this study examines the relationship between state failure and transnational terrorism with respect to perpetrator’s proximity to the target and logistical complexity of attacks. Using concentration curves and generalized estimating equation negative binomial models, the study shows that failed states experience significantly more transnational terrorism when the perpetrators are from the home country. But these states do not produce terrorists who cross borders and carry out attacks in other countries, neither do they attract foreign perpetrators. The latter suggests that conditions in failed states present major operational challenges to foreign terrorists. State failure also causes more logistically complex attacks due to lack of effective counterterrorism measures by failed states. The main results hold true for both relative and dichotomous measures of state failure.

Cessation Conversations and Quit Attempts: Differences by Ethnicity and Language Preference

2020 ◽  
Vol 44 (4) ◽  
pp. 473-487
Author(s):  
Victoria C. Lambert ◽  
Rachel E. Davis ◽  
Lucy Popova ◽  
James F. Thrasher
Keyword(s):  
Negative Binomial ◽  
Estimating Equation ◽  
The United States ◽  
Demographic Variables ◽  
Generalized Estimating Equation ◽  
Language Preference ◽  
Quit Attempts ◽  
Smoking Behaviors ◽  
The Relationship

Objectives: Conversations about pictorial cigarette health warning labels (HWLs) encourage quit attempts, and prior research suggests prevalence of these conversations varies by ethnicity. We assessed the frequency of conversations about text-only HWLs among Latino and non-Latino white smokers and the relationship between conversations and subsequent quit attempts. Methods: Latino and non-Latino white adult smokers in the United States (N = 4403) were surveyed every 4 months over 2 years. Surveys queried smoking behaviors, recent quit attempts, HWL responses, including HWL conversations, and socio-demographic variables. Negative binomial generalized estimating equation (GEE) models regressed the frequency of HWL conversations on study variables. Logistic GEE models regressed quit attempts at follow-up surveys on responses from the prior wave, including frequency of HWL conversations and their interaction with ethnicity. Results: Spanish preference Latinos reported the most HWL conversations (85%), followed by English preference Latinos (59%), and non-Latino Whites (35%). More frequent HWL conversations predicted subsequent quit attempts (AOR = 1.74, 95% CI = 1.32, 2.30), but ethnicity did not moderate this effect. Conclusions: Latinos appear to talk more frequently about HWLs than non-Latino Whites but are no more likely to quit as a result. Cessation campaigns should use messages that encourage conversations about quitting.

scholarly journals Factors Contributing to the Relationship between Driving Mileage and Crash Frequency of Older Drivers

2019 ◽  
Vol 11 (23) ◽  
pp. 6643 ◽  
Author(s):  
Lee ◽  
Guldmann ◽  
Choi
Keyword(s):  
Negative Binomial ◽  
Age Groups ◽  
Urban Environments ◽  
Vehicle Miles Traveled ◽  
Crash Frequency ◽  
Rural Environments ◽  
Lower Likelihood ◽  
Conditional Autoregressive ◽  
The Relationship ◽  
Binomial Models

As a characteristic of senior drivers aged 65 +, the low-mileage bias has been reported in previous studies. While it is thought to be a well-known phenomenon caused by aging, the characteristics of urban environments create more opportunities for crashes. This calls for investigating the low-mileage bias and scrutinizing whether it has the same impact on other age groups, such as young and middle-aged drivers. We use a crash database from the Ohio Department of Public Safety from 2006 to 2011 and adopt a macro approach using Negative Binomial models and Conditional Autoregressive (CAR) models to deal with a spatial autocorrelation issue. Aside from the low-mileage bias issue, we examine the association between the number of crashes and the built environment and socio-economic and demographic factors. We confirm that the number of crashes is associated with vehicle miles traveled, which suggests that more accumulated driving miles result in a lower likelihood of being involved in a crash. This implies that drivers in the low mileage group are involved in crashes more often, regardless of the driver’s age. The results also confirm that more complex urban environments have a higher number of crashes than rural environments.

The relationship between remission and health-related quality of life in a cohort of SLE patients

Rheumatology ◽  
2018 ◽  
Vol 58 (4) ◽  
pp. 628-635 ◽  
Author(s):  
Michel W P Tsang-A-Sjoe ◽  
Irene E M Bultink ◽  
Maaike Heslinga ◽  
Lilian H van Tuyl ◽  
Ronald F van Vollenhoven ◽  
...  
Keyword(s):  
Quality Of Life ◽  
Global Assessment ◽  
Short Form ◽  
Estimating Equation ◽  
Generalized Estimating Equation ◽  
Health Related Quality ◽  
Related Quality ◽  
Health Related ◽  
The Relationship

Abstract Objective To investigate the relationship between remission and health-related quality of life (HRQoL) in patients with SLE in a longitudinal observational cohort. Methods HRQoL was measured at cohort visits using the physical and mental component score (PCS and MCS, respectively) of the Short Form 36 questionnaire. Definitions of Remission in SLE remission categories (no remission/remission on therapy/remission off therapy) were applied. Determinants of PCS and MCS were identified with simple linear regression analyses. Association between remission and HRQoL was assessed using generalized estimating equation models. Results Data from 154 patients with 2 years of follow-up were analysed. At baseline 60/154 (39.0%) patients were in either form of remission. Patients in remission had higher Short Form 36 scores in all subdomains compared with patients not in remission. PCS was positively associated with remission and employment, and negatively associated with SLICC damage index, ESR, medication, patient global assessment and BMI. MCS was positively associated with Caucasian ethnicity and negatively associated with patient global assessment. In generalized estimating equation analysis, a gradual and significant increase of PCS was observed from patients not in remission (mean PCS 36.0) to remission on therapy (41.8) to remission off therapy (44.8). No significant difference in MCS was found between remission states. Conclusion we show a strong and persistent association between remission and PCS, but not MCS. These results support the relevance (construct validity) of the Definition of Remission in SLE remission definitions and the further development of a treat-to-target approach in SLE.

Do Denser Neighborhoods Have Safer Streets? Population Density and Traffic Safety in the Philadelphia Region

2019 ◽  
pp. 0739456X1984504 ◽  
Author(s):  
Erick Guerra ◽  
Xiaoxia Dong ◽  
Michelle Kondo
Keyword(s):  
Population Density ◽  
Traffic Safety ◽  
Urban Form ◽  
Urban Areas ◽  
Negative Binomial ◽  
Pedestrian Safety ◽  
Negative Binomial Models ◽  
The Relationship ◽  
Binomial Models ◽  
Density Results

This study uses multilevel negative binomial models to investigate relationships between neighborhood socio-demographics, urban form, roadway characteristics, traffic collisions, injuries, and fatalities on the Philadelphia region’s streets from 2010 to 2014. We pay particular attention to neighborhood population density. Results indicate that streets in denser neighborhoods have fewer overall collisions, injuries, and fatalities. The association with pedestrian safety is mixed and somewhat uncertain across urban areas and model specifications. This study highlights the importance of population density in traffic safety and helps explain some of the variation in findings across studies examining the relationship between urban form and pedestrian safety.

scholarly journals Factors associated with mortality from tuberculosis in Iran: an application of a generalized estimating equation-based zero-inflated negative binomial model to national registry data

2019 ◽  
Vol 41 ◽  
pp. e2019032
Author(s):  
Fatemeh Sarvi ◽  
Abbas Moghimbeigi ◽  
Hossein Mahjub ◽  
Mahshid Nasehi ◽  
Mahmoud Khodadost
Keyword(s):  
Risk Factors ◽  
Negative Binomial ◽  
Public Health Problem ◽  
Estimating Equation ◽  
Negative Binomial Model ◽  
Generalized Estimating Equation ◽  
Binomial Model ◽  
Global Public Health ◽  
Related Factors ◽  
Generalized Estimating

OBJECTIVES: Tuberculosis (TB) is a global public health problem that causes morbidity and mortality in millions of people per year. The purpose of this study was to examine the relationship of potential risk factors with TB mortality in Iran.METHODS: This cross-sectional study was performed on 9,151 patients with TB from March 2017 to March 2018 in Iran. Data were gathered from all 429 counties of Iran by the Ministry of Health and Medical Education and Statistical Center of Iran. In this study, a generalized estimating equation-based zero-inflated negative binomial model was used to determine the effect of related factors on TB mortality at the community level. For data analysis, R version 3.4.2 was used with the relevant packages.RESULTS: The risk of mortality from TB was found to increase with the unemployment rate (βˆ=0.02), illiteracy (βˆ=0.04), household density per residential unit (βˆ=1.29), distance between the center of the county and the provincial capital (βˆ=0.03), and urbanization (βˆ=0.81). The following other risk factors for TB mortality were identified: diabetes (βˆ=0.02), human immunodeficiency virus infection (βˆ=0.04), infection with TB in the most recent 2 years (βˆ=0.07), injection drug use (βˆ=0.07), long-term corticosteroid use (βˆ=0.09), malignant diseases (βˆ=0.09), chronic kidney disease (βˆ=0.32), gastrectomy (βˆ=0.50), chronic malnutrition (βˆ=0.38), and a body mass index more than 10% under the ideal weight (βˆ=0.01). However, silicosis had no effect.CONCLUSIONS: The results of this study provide useful information on risk factors for mortality from TB.

scholarly journals Who Has an Unsuccessful Observation Care Stay?

Healthcare ◽  
2018 ◽  
Vol 6 (4) ◽  
pp. 138 ◽  
Author(s):  
Gelareh Gabayan ◽  
Brian Doyle ◽  
Li-Jung Liang ◽  
Kwame Donkor ◽  
David Huang ◽  
...  
Keyword(s):  
Estimating Equation ◽  
Generalized Estimating Equation ◽  
Inpatient Service ◽  
Intestinal Infections ◽  
Sample Data ◽  
Medicare Patients ◽  
Prolonged Observation ◽  
Nationally Representative ◽  
The Relationship ◽  
Successful Observation

Background: With the recent increase use of observation care, it is important to understand the characteristics of patients that utilize this care and either have a prolonged observation care stay or require admission. Methods: We a conducted a retrospective cohort study utilizing 5% sample data from Medicare patients age ≥65 years that was nationally representative in the year 2013. We performed a generalized estimating equation (GEE) logistic regression analysis to evaluate the relationship between an unsuccessful observation stay (defined as either requiring an inpatient admission from observation or having a prolonged observation stay) compared to having successful observation care. Observation cut offs of “successful” vs. “unsuccessful” were based on the CMS 2 midnight rule. Results: Of 154,756 observation stays in 2013, 19 percent (n = 29,604) were admitted to the inpatient service and 34,275 (22.2%) had a prolonged observation stay. The two diagnoses most likely to have an unsuccessful observation stay were intestinal infections (OR 1.56, 95% CI 1.32–1.83) and pneumonia (OR 1.26, 95% CI 1.13–1.41). Conclusion: We found patients placed in observation care with intestinal infections and pneumonia to have the highest odds of either being admitted from observation or having a prolonged observation stay.

scholarly journals Emergency department increased use of observation care for elderly medicare patients

2018 ◽  
Vol 7 (3) ◽  
pp. 9 ◽  
Author(s):  
Gelareh Z. Gabayan ◽  
Li-Jung Liang ◽  
Brian Doyle ◽  
David Yu-Chuang Huang ◽  
Catherine A. Sarkisian
Keyword(s):  
Emergency Department ◽  
Estimating Equation ◽  
Generalized Estimating Equation ◽  
Inpatient Service ◽  
Medicare Beneficiaries ◽  
The Past ◽  
Medicare Patients ◽  
Nationally Representative ◽  
Using Data ◽  
The Relationship

Background: Over the past decade, a growing number of older Medicare beneficiaries visit the emergency department (ED) and have been placed in observation care. We investigated and compared the prevalence and factors associated with patients age ≥ 65 years with Medicare insurance who are placed in the hospital, observation care, or discharged following an ED visit.Methods: We conducted a retrospective cohort study using data from a nationally representative 5% sample of Medicare patients age ≥ 65 years during the year 2013. We performed multiple generalized estimating equation (GEE) logistic regression analyses to assess the relationship between placement in a hospital vs. discharge, observation care vs. discharge, and observation care vs. admission.Results: Of 537,455 Medicare beneficiaries age ≥ 65 years who visited an ED in 2013, 48.0% (N = 258,083) were discharged, 10.5% (N = 56,184) placed in observation care, and 41.5% (N = 223,188) were admitted to the inpatient service following the ED visit. The top 2 diagnoses associated with placement in the hospital vs. discharge were ischemic heart disease and renal disease. Patients with symptomatic diagnoses such as chest pain and dizziness were more likely to be placed in observation care following an ED visit as compared to admission to the hospital.Conclusions: Compared to prior studies, we found a greater number of older Medicare ED patients placed in observation care and a lower number admitted to the hospital. Most common diagnoses of placement in observation care were symptom-based as compared to being admitted to the hospital which were disease-based.

scholarly journals The Relationship between Democracy embracement and COVID-19 reported casualties worldwide

2021 ◽  
Author(s):  
Muhammad R. Hussein ◽  
Thamer AlSulaiman ◽  
Mohamed Habib ◽  
Engy A. Awad ◽  
Islam Morsi ◽  
...  
Keyword(s):  
Free Speech ◽  
International Aid ◽  
Estimating Equation ◽  
Generalized Estimating Equation ◽  
The World ◽  
Vaccine Distribution ◽  
The Relationship ◽  
Additional Explanation ◽  
Longitudinal Dataset ◽  
Country Specific

AbstractBackgroundThe COVID-19 toll of cases and deaths followed an uneven pattern across the world. The literature has partly explained the observed discrepancy between the different countries by country-specific and systemic patterns worldwide. In this study, we propose an additional explanation that the magnitude of COVID-19 toll reported to the WHO could be influenced by the level of free speech and Democracy in the reporting countries.MethodsWe constructed a longitudinal dataset including the daily COVID-19 count of cases and deaths worldwide and each country’s respective score on the Freedom in the World index. We applied two Generalized Estimating Equation models to investigate if a country’s reported toll count of COVID-19 cases and deaths is related to that country’s freedom level. We controlled for factors identified in the current literature to affect the pandemic’s spread.ResultsA country’s score on the Freedom In the World Index was associated with its reported COVID-19 cases count (57028.43, 95% CI 985.3619 - 113071.5, P= 0.0461) and deaths count (3473.273, 95% CI1217.12-5729.42, P=.002). Also, despite having almost equal shares of the world’s population, countries at the bottom category of the Freedom index reported 21% and 11% of the COVID-19 toll cases and death counts reported by countries of highest scores on the index, respectively.ConclusionsThe known magnitude of the COVID-19 pandemic’s morbidity and mortality appears to be as transparent as the reporting countries uphold free speech and Democracy. This pattern could potentially misguide international aid and global vaccine distribution plans.

Does Land Use Matter? Understanding Homicide Counts Beyond the Effects of Social Disorganization

2019 ◽  
Vol 24 (4) ◽  
pp. 311-332
Author(s):  
Alana R. Inlow
Keyword(s):  
Land Use ◽  
Social Disorganization ◽  
Negative Binomial ◽  
Positive Association ◽  
Criminological Theory ◽  
Neighborhood Characteristics ◽  
Single Family ◽  
Mixed Use ◽  
The Relationship ◽  
Binomial Models

This study assesses the relationship between land use, measured as percent zoning designation per square kilometer in a census tract, and homicide counts in Portland, Oregon, while controlling for other neighborhood characteristics. Negative binomial models are implemented to account for the overdispersed homicide count indicator. Results suggest that some land use variables—specifically, mixed-use residential (positive association) and single-family residential (negative association)—have significant predictive value for homicide counts beyond neighborhood characteristics and socioeconomic variables deemed important by criminological theory and research.

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