283 research outputs found

    Patterns of Influenza Vaccination Coverage in the United States from 2009 to 2015

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    Background: Globally, influenza is a major cause of morbidity, hospitalization and mortality. Influenza vaccination has shown substantial protective effectiveness in the United States. We investigated state-level patterns of coverage rates of seasonal and pandemic influenza vaccination, among the overall population in the U.S. and specifically among children and the elderly, from 2009/10 to 2014/15, and associations with ecological factors. Methods and Findings: We obtained state-level influenza vaccination coverage rates from national surveys, and state-level socio-demographic and health data from a variety of sources. We employed a retrospective ecological study design, and used mixed-model regression to determine the levels of ecological association of the state-level vaccinations rates with these factors, both with and without region as a factor for the three populations. We found that health-care access is positively and significantly associated with mean influenza vaccination coverage rates across all populations and models. We also found that prevalence of asthma in adults are negatively and significantly associated with mean influenza vaccination coverage rates in the elderly populations. Conclusions: Health-care access has a robust, positive association with state-level vaccination rates across different populations. This highlights a potential population-level advantage of expanding health-care access.Comment: 10 pages, 2 figure

    End User Query Performance: The Interaction of User Characteristics and Information Request Ambiguity

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    This paper investigates the effects of personality characteristics on individuals’ abilities to resolve ambiguity in an information retrieval environment. In particular, this research examines the effects on query performance of the interaction of personality characteristics (as measured using the NEO PI-R) with information requests that contained extraneous, syntactic, or both extraneous and syntactic ambiguities. The results indicate that ambiguity affected performance. The results also show that various personality dimensions significantly affect end-users’ abilities to compose accurate queries. Neuroticism, agreeableness, openness to experience, and conscientiousness affected the number of errors made in the query formulations. Conscientiousness affected the length of time taken to compose the queries and neuroticism affected the confidence end users had in the accuracy of their queries. In addition, the results indicated that, while the personality dimensions affected performance, there was no interaction between the personality dimensions and ambiguity

    Session 3-3-A: An Improved Pathways Development Model of Problem Gambling: A Summary of 11 Studies in Hong Kong and Macau

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    Introduction The rationale of this study came from a casual meeting of our supervisor Dr. Chan Chi Chuen and Professor Blaszczynski on a bus after the 2009 Reno conference. On the bus, C. C. promised Mr. Blaszczynski that he would validate the pathways model in Hong Kong and Macau. And in the next 5 years, Dr. C.C. Chan and his students conducted 11 research projects on problem gambling in Hong Kong and Macau. Purposes of current study To arrive on a summary finding from 11 studies on problem gambling To validate the pathways development model proposed by Blaszczynski & Nower (2002) To investigate what particular cultural factors in Hong Kong and Macau have contributed to problem gamblin

    How shape-based anthropometry can complement traditional anthropometric techniques: a cross-sectional study

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    Abstract: Manual anthropometrics are used extensively in medical practice and epidemiological studies to assess an individual's health. However, traditional techniques reduce the complicated shape of human bodies to a series of simple size measurements and derived health indices, such as the body mass index (BMI), the waist-hip-ratio (WHR) and waist-by-height0.5 ratio (WHT.5R). Three-dimensional (3D) imaging systems capture detailed and accurate measures of external human form and have the potential to surpass traditional measures in health applications. The aim of this study was to investigate how shape measurement can complement existing anthropometric techniques in the assessment of human form. Geometric morphometric methods and principal components analysis were used to extract independent, scale-invariant features of torso shape from 3D scans of 43 male participants. Linear regression analyses were conducted to determine whether novel shape measures can complement anthropometric indices when estimating waist skinfold thickness measures. Anthropometric indices currently used in practice explained up to 52.2% of variance in waist skinfold thickness, while a combined regression model using WHT.5R and shape measures explained 76.5% of variation. Measures of body shape provide additional information regarding external human form and can complement traditional measures currently used in anthropometric practice to estimate central adiposity
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