SPATIAL PATTERNS OF TRICHINOSIS DISTRIBUTION IN THE SOUTH OF THE RUSSIAN FAR EAST

V. Mironova, E. A. Karabanova, N. Shartova
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Abstract

The registered cases of trichinosis among the population of four federal entities of the south of the Far East (Amur Region, Jewish Autonomous Region, Transbaikal Territory and Khabarovsk Territory) in 2000-2020 were considered. A spatial analysis, mapping and visualization was carried out on the basis of data derived from state reports of the Rospotrebnadzor on the number of cases and the frequency of their registration in the context of municipalities. A typological classification of territories has been built using the developed scoring and the identification of statistically significant “hot” and “cold” spots has been provided. It has been established that the incidence of trichinosis in humans is associated with both the consumption of meat of wild animals and domestic pigs, which, apparently, is associated with the Trichinella species prevailing in each specific area. Regions with stably recorded incidence have been identified, however, the establishment of more obvious spatial patterns of the spread of trichinosis is hindered by the insufficiency and incompleteness of published data, in particular, the lack or inaccessibility of information on the Trichinella species composition and the fragmentation of data on the results of epidemiological investigations. The tested method gives an idea of the levels of risk of infection with trichinosis for the population of the region and can be used for more in-depth studies in the future. Key words: trichinosis, spatial statistics, risk assessment, hot and cold spots.
俄罗斯远东南部旋毛虫病分布的空间格局
对2000-2020年远东南部四个联邦实体(阿穆尔州、犹太自治区、外贝加尔地区和哈巴罗夫斯克地区)人口中旋毛虫病的登记病例进行了研究。根据Rospotrebnadzor关于在城市范围内的病例数量和登记频率的国家报告中获得的数据,进行了空间分析、绘图和可视化。利用已开发的评分方法建立了领土的类型分类,并提供了统计上显著的“热点”和“冷”点的识别。已经确定,人类的旋毛虫病发病率与食用野生动物和家猪的肉有关,这显然与每个特定地区普遍存在的旋毛虫种类有关。虽然已经确定了有稳定发病率记录的区域,但由于公开数据的不足和不完整,特别是关于旋毛虫种类组成的信息缺乏或难以获得,以及流行病学调查结果数据的碎片化,阻碍了建立更明显的旋毛虫病传播空间格局。经过测试的方法可以了解该地区人口感染旋毛虫病的风险水平,并可用于未来更深入的研究。关键词:旋毛虫病;空间统计;风险评估;
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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