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报告题目:
全球变化紫荆论坛(158):Spatial statistics in public health issues
 报告人:
Professor Alfred Stein
University of Twente, Enschede, The Netherlands
报告时间:
2016-03-07 10:00
报告地点:
蒙民伟科技南楼S927
主办单位:
地学中心
  简介:

讲座介绍:

    Spatial statistics has been an asset in analysis of health studies since long. Recently further interest is growing in public health with novel opportunities for spatial statistics. In this presentation, some recent developments are given. First, an important issue concerns a geospatial analysis of HIV-related social stigma that focused on females across Indian mandals. Data were available at a very detailed level. Issues of stichma are addressed and are related to data quality. Second, attention is given towards relating buruli ulcer with soil and groundwater related variables. CAR based modeling was applied on villages in Ghana. A better understanding with possible relations to public health is investigated. Finally, attention is given towards spatial dependency of cholera prevalence on potential cholera reservoirs in an urban area. Hierarchcial modeling and Bayesian structured additive regression modeling were carried out. Both spatial and spatial temporal data were analyzed. Its occurrence may have a large effect on positioning of cholera treatment facilities.

 

主讲人简介:

    Alfred Stein is a Professor of spatial statistics and image analysis with the Faculty of Geo-Information Science and Earth Observation (ITC), University of Twente, Enschede, The Netherlands. His research interests focus on the statistical aspects of spatial and spatiotemporal data, such as monitoring data, in the widest sense; optimal sampling; image analysis; spatial statistics; the use of prior information; but also issues of data quality, fuzzy techniques, and random sets in a Bayesian setting. Prof. Stein is a member of the Socio-Economic and Natural Sciences of the Environment (SENSE) Research School. Since 2011, he has been the Editor-in-Chief of the Spatial Statistics journal, which is the new leading platform in the field of spatial statistics.

 

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