5,171,558 research outputs found

    A Bayesian spatio-temporal model of panel design data: airborne particle number concentration in Brisbane, Australia

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    This paper outlines a methodology for semi-parametric spatio-temporal modelling of data which is dense in time but sparse in space, obtained from a split panel design, the most feasible approach to covering space and time with limited equipment. The data are hourly averaged particle number concentration (PNC) and were collected, as part of the Ultrafine Particles from Transport Emissions and Child Health (UPTECH) project. Two weeks of continuous measurements were taken at each of a number of government primary schools in the Brisbane Metropolitan Area. The monitoring equipment was taken to each school sequentially. The school data are augmented by data from long term monitoring stations at three locations in Brisbane, Australia. Fitting the model helps describe the spatial and temporal variability at a subset of the UPTECH schools and the long-term monitoring sites. The temporal variation is modelled hierarchically with penalised random walk terms, one common to all sites and a term accounting for the remaining temporal trend at each site. Parameter estimates and their uncertainty are computed in a computationally efficient approximate Bayesian inference environment, R-INLA. The temporal part of the model explains daily and weekly cycles in PNC at the schools, which can be used to estimate the exposure of school children to ultrafine particles (UFPs) emitted by vehicles. At each school and long-term monitoring site, peaks in PNC can be attributed to the morning and afternoon rush hour traffic and new particle formation events. The spatial component of the model describes the school to school variation in mean PNC at each school and within each school ground. It is shown how the spatial model can be expanded to identify spatial patterns at the city scale with the inclusion of more spatial locations.Comment: Draft of this paper presented at ISBA 2012 as poster, part of UPTECH projec

    Health effects of housing improvements

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    Despite long-established associations between housing conditions and health, the evidence linking housing improvements to changes in health outcomes is still sparse. Our latest briefing paper, Health Effects of Housing Improvements, reports on changes in physical and mental health outcomes related to housing improvements undertaken in social housing Glasgow since 2003 as part of investment agreed as part of the stock transfer to bring stock up to the Scottish Housing Quality Standard (SHQS). The objective of the research was to establish whether there were any differences in the change in physical and mental health outcomes over time between those who did or did not receive four different types of housing improvements. The briefing paper looks at the effects of each of four housing improvements on physical and mental health. It also examines the effects of multiple improvements and of time since the improvements in order to investigate whether the effects change over time. Our findings relating the health improvements following housing improvements are modest. However, while housing improvements may not lead manifest improvements in individual health over the short term but improved and maintained housing stock should lead to longer term health improvements at the population level. Although housing providers improve homes with the expectation of health gains they also aim to improve residential satisfaction and quality of life more generally. Our study highlights the central importance of employment to the health of residents in deprived areas, and supports a case for more attention to be paid to employment as part of regeneration, whether through economic, employability or health-improvement measures

    Health related effects of wheat varieties

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    Summarises the different effects wheat digestion has on human healt

    How Should Clinicians Weigh the Benefits and Harms of Discussing Politicized Topics that Influence Their Individual Patients\u27 Health?

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    Health implications of politically charged phenomena are particularly difficult for physicians to discuss with their patients and communities. Addressing climate change and its associated health effects involves trade-offs between health and economic prosperity, necessitating that physicians weigh the potential benefits and risks of discussing climate change health effects. We argue that the potential benefits of physician communication and advocacy ultimately outweigh the potential risks. Therefore, physicians should be supported in their efforts to educate their patients and communities about climate change health effects. Furthermore, democratic deliberation could prove helpful in addressing disagreements among physicians within a practice about such politicized health topics

    Toward the next generation of research into small area effects on health : a synthesis of multilevel investigations published since July 1998.

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    To map out area effects on health research, this study had the following aims: (1) to inventory multilevel investigations of area effects on self rated health, cardiovascular diseases and risk factors, and mortality among adults; (2) to describe and critically discuss methodological approaches employed and results observed; and (3) to formulate selected recommendations for advancing the study of area effects on health. Overall, 86 studies were inventoried. Although several innovative methodological approaches and analytical designs were found, small areas are most often operationalised using administrative and statistical spatial units. Most studies used indicators of area socioeconomic status derived from censuses, and few provided information on the validity and reliability of measures of exposures. A consistent finding was that a significant portion of the variation in health is associated with area context independently of individual characteristics. Area effects on health, although significant in most studies, often depend on the health outcome studied, the measure of area exposure used, and the spatial scale at which associations are examined

    The practice of discounting in economic evaluations of healthcare interventions

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    Objectives: Discounting of costs in health-related economic evaluation is generally regarded as uncontroversial, but there is disagreement about discounting health benefits. We sought to explore the current recommendations and practice in health economic evaluations with regard to discounting of costs and benefits. Methods: Recommendations for best practice on discounting for health effects as set out by government agencies, regulatory bodies, learned journals, and leading health economics texts were surveyed. A review of a sample of primary literature on health economic evaluations was undertaken to ascertain the actual current practice on discounting health effects and costs. Results: All of the official sources recommended a positive discount rate for both health effects and costs, and most recommended a specific rate (range, 1% to 8%). The most frequently specified rates were 3% and 5%. A total of 147 studies were reviewed; most of these used a discount rate for health of either 0% (n = 50) or 5% (n = 67). Over 90% of studies used the same discount rate for both health and cost. While 28% used a zero rate for both health and cost, in 64% a nonzero rate was used for both. Studies where the health measure was in natural clinical units (direct) were significantly more likely to have a zero discount rate. Conclusion: The finding that 28% of studies did not discount costs or benefits is surprising and concerning. A lower likelihood of discounting for benefits when they are in natural units may indicate confusion regarding the rationale for discounting health effects

    Effects of Varieties, Cutting Health and Fungicide Application on Chrysanthemum White Rust

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    White rust caused by fungal pathogen Puccinia horiana P. Henn. is one devastated disease that could make significant economic loss in chrysanthemum production. The study of effects of varieties, cutting health and fungicide application on chrysanthemum white rust was established. The treatments were arranged in split-split plot completely randomized design with three replications. Three chrysanthemum varieties i.e. cv. Puma White, Reagent Purple and Town Talk served as main plot. Seedlings with 20 % intensity of white rust infection and symptomless functioned as sub plot, while fungicide application on the transplanted cutting (no fungicide) and dithiocarbamate (AntracolR 75 WP, 2 g L-1) application served as sub-sub plot. Result showed genetic background of the cultivars significantly determined the degree of infection of white rust. Reagent Purple exhibited least disease intensities. Fungicide application was less effective in controlling white rust development, yet gave significant impact on the plant height and number of leaves of chrysanthemum plants. Cuttings selection based on the visual observation on the presence or absence of white rust pustules symptom did not gave significant differences on the further development of the disease. The symptomless cuttings were also infected with this fungal disease after the cuttings were planted under plastic house

    Evaluating the Health Effects of Micro Health Insurance Placement: Evidence from Bangladesh

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    We examine the impact of micro health insurance placement on health awareness, healthcare utilization and health status of microcredit members in rural Bangladesh, using data from 329 households in the operating areas of Grameen Bank. The results are based on econometric analysis conditioned on placement of the scheme, and show that placement has a positive association with all of the outcomes. The results are statistically significant for health awareness and healthcare utilization, but not for heath status. Our study makes an important contribution to the literature as it provides evidence on the impact of MHI on a broad set of health outcomes
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