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流行病学新工具:太空奥德赛。

New tools for epidemiology: a space odyssey.

出版信息

Mem Inst Oswaldo Cruz. 2011 Nov;106(7):892-900. doi: 10.1590/s0074-02762011000700016.

Abstract

Geographical Information Systems (GIS) facilitate access to epidemiological data through visualization and may be consulted for the development of mathematical models and analysis by spatial statistics. Variables such as land-cover, land-use, elevations, surface temperatures, rainfall etc. emanating from earth-observing satellites, complement GIS as this information allows the analysis of disease distribution based on environmental characteristics. The strength of this approach issues from the specific environmental requirements of those causative infectious agents, which depend on intermediate hosts for their transmission. The distribution of these diseases is restricted, both by the environmental requirements of their intermediate hosts/vectors and by the ambient temperature inside these hosts, which effectively govern the speed of maturation of the parasite. This paper discusses the current capabilities with regard to satellite data collection in terms of resolution (spatial, temporal and spectral) of the sensor instruments on board drawing attention to the utility of computer-based models of the Earth for epidemiological research. Virtual globes, available from Google and other commercial firms, are superior to conventional maps as they do not only show geographical and man-made features, but also allow instant import of data-sets of specific interest, e.g. environmental parameters, demographic information etc., from the Internet.

摘要

地理信息系统(GIS)通过可视化方便获取流行病学数据,并可通过空间统计进行数学模型的开发和分析。地球观测卫星产生的土地覆盖、土地利用、海拔、地表温度、降雨量等变量补充了 GIS,可以根据环境特征分析疾病分布。这种方法的优势在于那些致病感染因子的特定环境要求,这些感染因子依赖中间宿主进行传播。这些疾病的分布受到其中间宿主/媒介的环境要求以及这些宿主内部环境温度的限制,这实际上控制了寄生虫的成熟速度。本文讨论了卫星数据采集在传感器仪器分辨率(空间、时间和光谱)方面的现状,提请注意基于计算机的地球模型在流行病学研究中的应用。谷歌和其他商业公司提供的虚拟地球仪优于传统地图,因为它们不仅显示地理和人为特征,还允许即时导入特定数据集,例如环境参数、人口统计信息等,来自互联网。

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