Balk D L, Deichmann U, Yetman G, Pozzi F, Hay S I, Nelson A
Center for International Earth Science Information Network, Columbia University, Palisades, NY 10964, USA.
Adv Parasitol. 2006;62:119-56. doi: 10.1016/S0065-308X(05)62004-0.
Evaluating the total numbers of people at risk from infectious disease in the world requires not just tabular population data, but data that are spatially explicit and global in extent at a moderate resolution. This review describes the basic methods for constructing estimates of global population distribution with attention to recent advances in improving both spatial and temporal resolution. To evaluate the optimal resolution for the study of disease, the native resolution of the data inputs as well as that of the resulting outputs are discussed. Assumptions used to produce different population data sets are also described, with their implications for the study of infectious disease. Lastly, the application of these population data sets in studies to assess disease distribution and health impacts is reviewed. The data described in this review are distributed in the accompanying DVD.
评估全球面临传染病风险的总人数，不仅需要表格形式的人口数据，还需要空间明确且范围覆盖全球、分辨率适中的数据。本综述描述了构建全球人口分布估计值的基本方法，并关注了在提高空间和时间分辨率方面的最新进展。为评估疾病研究的最佳分辨率，讨论了数据输入以及最终输出结果的原始分辨率。还描述了用于生成不同人口数据集的假设及其对传染病研究的影响。最后，综述了这些人口数据集在评估疾病分布和健康影响研究中的应用。本综述中描述的数据随附在DVD中分发。
