预测人畜共患传染病的传播

A. Elizarov, N. S. Malysheva
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引用次数: 0

摘要

Sphere程序使用现代的开放源代码,并基于全球数据库的功能和来自Internet上公开呈现的地理信息系统的地图信息。研究人员可以将发现的生物材料的坐标输入到程序中,得到具有一定耐受性的寄生生物分布的预测模型。生物物质是指被感染的野生动物、侵入性生物蠕虫卵或水、土壤或底部沉积物的阳性样本。Sphere分析了蠕虫宿主的假设栖息地,以直径几米(对于两栖动物和爬行动物)到几公里(对于哺乳动物)的球体的形式呈现它们,考虑到地表水的存在,土壤类型,植被类型,以及气象条件,水流方向和外部影响的季节性。在几个球体的交汇处,该方案对自然条件下的自然焦点扩展(例如,干旱或过度降水)的转变做出了合乎逻辑的结论。程序信息在电子地图上显示为检测到一种或另一种形式的寄生物体的概率(以百分比为单位),例如,在特定的森林中,受感染动物的位置概率为60%,在特定的开放区域,40%,等等。
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FORECASTING THE SPREAD OF ZOONOTIC INFECTIONS
The Sphere program uses modern open source code and is based on the capabilities of global databases and cartographic information from geoinformation systems openly presented in the Internet. The researcher can enter coordinates of the found biological material into the program and obtain a predictive model of the parasitic organism distribution with a certain tolerance. The biological material is found infected wild animals, invasive biohelminth eggs or positive samples of water, soil or bottom sediments. Sphere analyzes hypothetical habitats of helminth hosts, presents them in the form of spheres with a diameter of several meters (for amphibians and reptiles) up to several kilometers (for mammals), takes into account the presence of surface water bodies, soil types, vegetation types, as well as meteorological conditions, the direction of water flow, and seasonality of external influences. At the intersection of several spheres, the program makes a logical conclusion about the natural focus expansion under the influence of natural conditions – for example, drought or excessive precipitation – its transformation. The program information is displayed on an electronic map as the probability of detecting one or another form of a parasitic object in percent – for example, in a particular forest – the probability of location of an infected animal is 60%, in a specific open area, 40%, etc.
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