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Projecting temperature-related mortality in Bangladesh under climate change scenarios - With consideration of ageing, urbanisation, air pollution and epidemiological transition
项目编号http://gepris.dfg.de/gepris/projekt/264854507?language=en
Dr. KatrinBurkart (Applicant)
项目主持机构Columbia University in the City of New York
开始日期2014
英文摘要Weather and climate exert a profound influence on human health and well-being. Particularly, the projected consequences of climate change have stimulated intense scientific activities in this field. During a previous project, I have conducted extensive analyses on the atmosphere-mortality relationship in Bangladesh. In addition to this empirical study, I published a so called systematic review on the effects of season and meteorology in tropical climates. Findings demonstrated an increase in mortality at high and low temperatures, i.e. heat and cold effects. The effect magnitudes varied across subgroups and seemed to be modified by factors such as age, gender, degree of urbanisation or socioeconomic status and air pollution. The main objective of the proposed research is to project future temperature-related excess mortality under climate change scenarios. A major focus will be put on the influence of non-atmospheric modifiers, particularly demographic and epidemiological dynamics. Moreover, the relevance and modifying influence of air pollution will be investigated. For building and parameterizing impact models, dose-response relationships gained during previous research will be used but also some additional effect assessment is planned to be carried out. The projection of future heat and cold impacts on mortality is still a new realm of research. So far, there are no guidelines for scenario-based projections and methodological approaches within the literature vary considerably. One fundamental issue in projecting climate- and weather-related mortality is the projection of future climates. There is a multitude of climate models based on different emission scenarios. Due to their differences, outputs often vary considerably over the different models and therefore the IPCC suggest using multiple models in order to account for uncertainties. For the anticipated research I intent to rely on a multimodel data set (e.g. WCRP CMIP3), and will choose different emission scenarios. Details of climate projections, downscaling approach and impact model building will be matter of further discussion with researchers from the host institution (Columbia University, Mailman School of Public Health). Prof. Patrick Kinney and the members of his research group have many years of experience in climate impact research and health modelling. In addition to climate projections, adequate demographic and epidemiological scenarios on the size, age and domicile of populations and the burden of disease will be integrated into impact modelling. Finally, I intent to generalize research findings and will evaluate their transferability to other regions. Areas with a similar climate and comparable framework conditions (e.g., in South Asia) could profit from the observations made within the research project.
学科分类0801 - 地理学;08 - 地球科学
资助机构DE-DFG
项目类型Research Fellowships
URLhttp://gepris.dfg.de/gepris/projekt/264854507?language=en
国家DE
语种英语
文献类型项目
条目标识符http://gcip.llas.ac.cn/handle/2XKMVOVA/70454
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GB/T 7714
Dr. KatrinBurkart .Projecting temperature-related mortality in Bangladesh under climate change scenarios - With consideration of ageing, urbanisation, air pollution and epidemiological transition.2014.
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