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首页> 外文期刊>Epidemiology >Estimating denominators: satellite-based population estimates at a fine spatial resolution in a European urban area.
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Estimating denominators: satellite-based population estimates at a fine spatial resolution in a European urban area.

机译：估计分母：在欧洲城市地区，以精细的空间分辨率进行的基于卫星的人口估计。

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BACKGROUND: There is a need for alternative approaches to obtain population denominators when census information is unavailable, unreliable, or not available at the appropriate spatial resolution. The aim of this study is to develop an exportable population model, based on a single satellite-derived indicator, for estimating fine-scale population data and characterizing high-incidence areas in an urbanized area. METHODS: A Landsat 7 enhanced thematic mapper plus image was processed to generate population density indices at the block and block-group levels, using both an unsupervised pixel-based and a supervised classification. Spatial disaggregation was used to calculate population estimates, distributing the total population of the city of Besanon (France) into census areas by means of their respective population density indices. Accuracy assessment was performed through comparisons with census counts. RESULTS: At the block-group level, the simplest model produced relatively accurate and reliable population estimates within the range of observed counts. A strong agreement was found between observed and estimated incidence rates for non-Hodgkin lymphoma (intraclass correlation coefficient [ICC] = 0.73), but not for female breast cancer (ICC = 0.40). Withdrawing the sprawled block groups improved the agreements considerably (ICC = 0.84 and 0.71, respectively). CONCLUSIONS: This apportioning procedure offers a way to obtain estimated population sizes (or at least densities) for areas with no accurate census, but does not substitute for censuses where good census data exist. Because it is rapid, relatively cheap, and computationally easy, it should be of special interest to epidemiologists, environmental scientists, and public health decision makers.
机译：背景：当普查信息不可用，不可靠或在适当的空间分辨率下不可用时，需要其他方法来获得人口分母。这项研究的目的是建立一个基于单个卫星的指标的可出口人口模型，以估算精细规模的人口数据并表征城市化地区的高发地区。方法：使用无监督的基于像素的分类和监督分类，对Landsat 7增强型主题映射器加图像进行处理，以生成块和块组级别的人口密度指数。使用空间分解来计算人口估计数，并通过各自的人口密度指数将贝萨农市（法国）的总人口分布到人口普查地区。通过与普查计数进行比较来进行准确性评估。结果：在块组一级，最简单的模型在观察到的计数范围内产生了相对准确和可靠的总体估计。非霍奇金淋巴瘤的发生率与估计的发生率之间有很强的一致性（类内相关系数[ICC] = 0.73），而女性乳腺癌则没有（ICC = 0.40）。撤出蔓延的街区组可以大大改善协议（ICC分别为0.84和0.71）。结论：这种分摊程序提供了一种方法来获得没有准确人口普查地区的估计人口规模（或至少是人口密度），但不能替代存在良好人口普查数据的人口普查。因为它快速，相对便宜并且计算简单，所以它对于流行病学家，环境科学家和公共卫生决策者来说应该是特别有意义的。

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