881 resultados para 140218 Urban and Regional Economics


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Mode of access: Internet.

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Mode of access: Internet.

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Mode of access: Internet.

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The region of Latin America and the Caribbean can boast a successful track record in the process of eradicating hunger: it is the only region in the world that has halved both the proportion of people who suffer from hunger (the target set in the Millennium Development Goals) and their absolute number (the target set at the World Food Summit of 1996). This publication aims to provide the region’s countries with up-todate and timely information on the status of food and nutrition security; on the role in eradicating hunger played by the different areas such as agriculture, agrifood trade and natural resources management; and on the possibility of successfully addressing the twin burden of malnutrition, in a context where the effects of climate change could threaten the progress achieved in Latin America and the Caribbean thus far. The CELAC Plan for Food and Nutrition Security and the Eradication of Hunger 2025 is a cross-cutting tool for achieving the Sustainable Development Goals of the 2030 Agenda for Sustainable Development; and it thus encourages the countries of Latin America and the Caribbean to redouble their efforts to identify key policy areas that will make it possible to speed up and consolidate the process of eradicating hunger and tackle the twin burden of malnutrition in the region, in which overweight and obesity are increasingly adding to that scourge.

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Thesis (Ph.D.)--University of Washington, 2016-06

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Background Estimates of the disease burden due to multiple risk factors can show the potential gain from combined preventive measures. But few such investigations have been attempted, and none on a global scale. Our aim was to estimate the potential health benefits from removal of multiple major risk factors. Methods We assessed the burden of disease and injury attributable to the joint effects of 20 selected leading risk factors in 14 epidemiological subregions of the world. We estimated population attributable fractions, defined as the proportional reduction in disease or mortality that would occur if exposure to a risk factor were reduced to an alternative level, from data for risk factor prevalence and hazard size. For every disease, we estimated joint population attributable fractions, for multiple risk factors, by age and sex, from the direct contributions of individual risk factors. To obtain the direct hazards, we reviewed publications and re-analysed cohort data to account for that part of hazard that is mediated through other risks. Results Globally, an estimated 47% of premature deaths and 39% of total disease burden in 2000 resulted from the joint effects of the risk factors considered. These risks caused a substantial proportion of important diseases, including diarrhoea (92%-94%), lower respiratory infections (55-62%), lung cancer (72%), chronic obstructive pulmonary disease (60%), ischaemic heart disease (83-89%), and stroke (70-76%). Removal of these risks would have increased global healthy life expectancy by 9.3 years (17%) ranging from 4.4 years (6%) in the developed countries of the western Pacific to 16.1 years (43%) in parts of sub-Saharan Africa. Interpretation Removal of major risk factors would not only increase healthy life expectancy in every region, but also reduce some of the differences between regions, The potential for disease prevention and health gain from tackling major known risks simultaneously would be substantial.

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This paper develops an Internet geographical information system (GIS) and spatial model application that provides socio-economic information and exploratory spatial data analysis for local government authorities (LGAs) in Queensland, Australia. The application aims to improve the means by which large quantities of data may be analysed, manipulated and displayed in order to highlight trends and patterns as well as provide performance benchmarking that is readily understandable and easily accessible for decision-makers. Measures of attribute similarity and spatial proximity are combined in a clustering model with a spatial autocorrelation index for exploratory spatial data analysis to support the identification of spatial patterns of change. Analysis of socio-economic changes in Queensland is presented. The results demonstrate the usefulness and potential appeal of the Internet GIS applications as a tool to inform the process of regional analysis, planning and policy.