969 resultados para intervention modelling experiments
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This document answers some common questions about the use of the Health inequalities intervention tool.
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This note sets out the cost effectiveness performance of the interventions currently presented in the Health inequalities intervention tool . These interventions have been chosen for their cost effectiveness performance as health interventions as well as for their impact on the life expectancy gap.
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This paper describes the data and methods used in the Health inequalities intervention tool to calculate the effect of four interventions on life expectancy.
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The Spearhead Intervention Tool has been commissioned by the Department of Health through the Association of Public Health Observatories (APHO). This version of the tool has been updated with latest data for 2005-07. The tool is designed to assist commissioners in Spearhead Primary Care Trusts (PCTs) with their Local Delivery Planning (LDP) and commissioning and to assist Spearhead Local Authorities (LAs) with the delivery of Local Area Agreements (LAAs). It highlights key issues for Spearhead PCTs and LAs to consider in order to achieve the life expectancy element of the Government۪s Public Service Agreement (PSA) on health inequalities by 2010.
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The Spearhead Intervention Tool has been commissioned by the Department of Health through the Association of Public Health Observatories (APHO). This version of the tool has been updated with latest data for 2005-07. The tool is designed to assist commissioners in Spearhead Primary Care Trusts (PCTs) with their Local Delivery Planning (LDP) and commissioning and to assist Spearhead Local Authorities (LAs) with the delivery of Local Area Agreements (LAAs). It highlights key issues for Spearhead PCTs and LAs to consider in order to achieve the life expectancy element of the Government̢?Ts Public Service Agreement (PSA) on health inequalities by 2010.
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The Spearhead Intervention Tool has been commissioned by the Department of Health through the Association of Public Health Observatories (APHO). This version of the tool has been updated with latest data for 2005-07. The tool is designed to assist commissioners in Spearhead Primary Care Trusts (PCTs) with their Local Delivery Planning (LDP) and commissioning and to assist Spearhead Local Authorities (LAs) with the delivery of Local Area Agreements (LAAs). It highlights key issues for Spearhead PCTs and LAs to consider in order to achieve the life expectancy element of the Government۪s Public Service Agreement (PSA) on health inequalities by 2010.
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This Health Inequalities Intervention Toolkit, developed jointly by the Association of Public Health Observatories and the Department of Health, focuses on improving life expectancy and infant mortality rates, especially in disadvantaged areas. Based on local authority boundaries, it is designed to assist evidence-based local service planning and commissioning, including Joint Strategic Needs Assessments. The Toolkit does this by providing information on the diseases, which are causing low life expectancy in individual areas, enabling good local priority setting. The Toolkit was originally designed to support achievement of the national Public Service Agreement target to: "Reduce health inequalities by 10% by 2010 as measured by infant mortality and life expectancy at birth." Although the PSA target has now ended, the Toolkit should still be useful to the NHS and local government, supporting planning to narrow inequalities in life expectancy and infant mortality
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The Health Inequalities Intervention Tool has been commissioned by the Department of Health through the Association of Public Health Observatories (APHO). The tool is designed to assist commissioners in Spearhead Primary Care Trusts (PCTs) with their Local Delivery Planning (LDP) and commissioning and to assist Spearhead Local Authorities (LAs) with the delivery of Local Area Agreements (LAAs). It highlights key issues for Spearhead PCTs and LAs to consider in order to achieve the life expectancy element of the Government's Public Service Agreement (PSA) on health inequalities by 2010
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The aim of this pilot study was to develop, deliver and monitor a programme aimed at the prevention of obesity in primary school children. Objectives1. To develop a school-based / family-orientated intervention programme to prevent obesity in children under 10 years of age. 2. To implement an intervention programme that is acceptable and appropriate for primary school-aged children. 3. To monitor and evaluate the programme and determine if there is an appropriateintervention(s) to prevent obesity in primary school-aged children. 4. If a successful programme(s) is identified, disseminate this at a national level.
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This document provides background information on the context for the Spearhead Health Inequalities Intervention Tool.
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Debris flow hazard modelling at medium (regional) scale has been subject of various studies in recent years. In this study, hazard zonation was carried out, incorporating information about debris flow initiation probability (spatial and temporal), and the delimitation of the potential runout areas. Debris flow hazard zonation was carried out in the area of the Consortium of Mountain Municipalities of Valtellina di Tirano (Central Alps, Italy). The complexity of the phenomenon, the scale of the study, the variability of local conditioning factors, and the lacking data limited the use of process-based models for the runout zone delimitation. Firstly, a map of hazard initiation probabilities was prepared for the study area, based on the available susceptibility zoning information, and the analysis of two sets of aerial photographs for the temporal probability estimation. Afterwards, the hazard initiation map was used as one of the inputs for an empirical GIS-based model (Flow-R), developed at the University of Lausanne (Switzerland). An estimation of the debris flow magnitude was neglected as the main aim of the analysis was to prepare a debris flow hazard map at medium scale. A digital elevation model, with a 10 m resolution, was used together with landuse, geology and debris flow hazard initiation maps as inputs of the Flow-R model to restrict potential areas within each hazard initiation probability class to locations where debris flows are most likely to initiate. Afterwards, runout areas were calculated using multiple flow direction and energy based algorithms. Maximum probable runout zones were calibrated using documented past events and aerial photographs. Finally, two debris flow hazard maps were prepared. The first simply delimits five hazard zones, while the second incorporates the information about debris flow spreading direction probabilities, showing areas more likely to be affected by future debris flows. Limitations of the modelling arise mainly from the models applied and analysis scale, which are neglecting local controlling factors of debris flow hazard. The presented approach of debris flow hazard analysis, associating automatic detection of the source areas and a simple assessment of the debris flow spreading, provided results for consequent hazard and risk studies. However, for the validation and transferability of the parameters and results to other study areas, more testing is needed.
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An effective schistosome vaccine is a desirable control tool but progress towards that goal has been slow. Protective immunity has been difficult to demonstrate in humans, particularly children, so no routes to a vaccine have emerged from that source. The concept of concomitant immunity appeared to offer a paradigm for a vaccine operating against incoming larvae in the skin but did not yield the expected dividends. The mining of crude parasite extracts, the use of monoclonal antibodies and protein selection based on immunogenicity produced a panel of vaccine candidates, mostly of cytoplasmic origin. However, none of these performed well in independent rodent trials, but glutathione-S-transferease from Schistosoma haematobium is currently undergoing clinical trials as an anti-fecundity vaccine. The sequencing of the S. mansoni transcriptome and genome and the development of proteomic and microarray technologies has dramatically improved the possibilities for identifying novel vaccine candidates, particularly proteins secreted from or exposed at the surface of schistosomula and adult worms. These discoveries are leading to a new round of protein expression and protection experiments that will enable us to evaluate systematically all the major targets available for immune intervention. Only then will we know if schistosomes have an Achilles' heel.