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  • 标题:Diarrheal Mortality of Children In Association with Hydrography in Brazil
  • 本地全文:下载
  • 作者:Stefan Leyk ; T.P. Phillips ; J.M. Smith
  • 期刊名称:ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences
  • 印刷版ISSN:2194-9042
  • 电子版ISSN:2194-9050
  • 出版年度:2010
  • 卷号:XXXVIII Part 4
  • 出版社:Copernicus Publications
  • 摘要:Is the pattern of childhood mortality due to diarrhea related to hydrography? To answer this kind of question we describe a method toexamine associations between peak time of mortality from diarrhea in children less than 5 years for the period 1979-89 and relativelocation along the hydrologic regime of 8 major hydrographic regions in Brazil. In order to better understand the underlyingheterogeneity found in mortality peak timing patterns a multiscale approach is used. Continuous geostatistical surfaces of mortality peaktiming are created and validated based on these different spatial scales. We extract “mortality peak timing profiles” along the mainstreams within Brazil and test for possible trends in this peak timing variable in stream flow direction. Some first results demonstrate thatthere is a dominant trend of increasing mortality peak timing values downstream for most of the hydrographic regions. There areconsiderable differences between the spatial scales due to the higher degree of heterogeneity in peak timing at finer spatial scales, whichremains hidden at coarser spatial scales. We found some deviations in the explored trends, which are possibly caused by a lack ofunderlying data and thus higher uncertainty in the underlying geostatistical model. Two hydrographic regions even show a trend into theopposite direction, upstream. Our approach allows for the formulation of interesting hypotheses regarding the capture of regionaldynamics of diarrheal disease within various hydrographic regions. However, further research and refinement of assumptions is neededto improve this approach. One distinct advantage of the proposed approach is that the results are robust against effects of regionalvariation and non-linearity of relationships
  • 关键词:Scale; Modelling; Spatial Infrastructures; Temporal; Spatial Epidemiology
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