{"title":"预测人畜共患传染病的传播","authors":"A. Elizarov, N. S. Malysheva","doi":"10.31016/978-5-6048555-6-0.2023.24.172-176","DOIUrl":null,"url":null,"abstract":"The Sphere program uses modern open source code and is based on the capabilities \nof global databases and cartographic information from geoinformation systems \nopenly presented in the Internet. The researcher can enter coordinates of the found \nbiological material into the program and obtain a predictive model of the parasitic \norganism distribution with a certain tolerance. The biological material is found \ninfected wild animals, invasive biohelminth eggs or positive samples of water, soil or \nbottom sediments. Sphere analyzes hypothetical habitats of helminth hosts, presents \nthem in the form of spheres with a diameter of several meters (for amphibians and \nreptiles) up to several kilometers (for mammals), takes into account the presence \nof surface water bodies, soil types, vegetation types, as well as meteorological \nconditions, the direction of water flow, and seasonality of external influences. At the \nintersection of several spheres, the program makes a logical conclusion about the \nnatural focus expansion under the influence of natural conditions – for example, \ndrought or excessive precipitation – its transformation. The program information is \ndisplayed on an electronic map as the probability of detecting one or another form of \na parasitic object in percent – for example, in a particular forest – the probability of \nlocation of an infected animal is 60%, in a specific open area, 40%, etc.","PeriodicalId":22969,"journal":{"name":"THEORY AND PRACTICE OF PARASITIC DISEASE CONTROL","volume":"183 1","pages":""},"PeriodicalIF":0.0000,"publicationDate":"2023-04-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"FORECASTING THE SPREAD OF ZOONOTIC INFECTIONS\",\"authors\":\"A. Elizarov, N. S. Malysheva\",\"doi\":\"10.31016/978-5-6048555-6-0.2023.24.172-176\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The Sphere program uses modern open source code and is based on the capabilities \\nof global databases and cartographic information from geoinformation systems \\nopenly presented in the Internet. The researcher can enter coordinates of the found \\nbiological material into the program and obtain a predictive model of the parasitic \\norganism distribution with a certain tolerance. The biological material is found \\ninfected wild animals, invasive biohelminth eggs or positive samples of water, soil or \\nbottom sediments. Sphere analyzes hypothetical habitats of helminth hosts, presents \\nthem in the form of spheres with a diameter of several meters (for amphibians and \\nreptiles) up to several kilometers (for mammals), takes into account the presence \\nof surface water bodies, soil types, vegetation types, as well as meteorological \\nconditions, the direction of water flow, and seasonality of external influences. At the \\nintersection of several spheres, the program makes a logical conclusion about the \\nnatural focus expansion under the influence of natural conditions – for example, \\ndrought or excessive precipitation – its transformation. The program information is \\ndisplayed on an electronic map as the probability of detecting one or another form of \\na parasitic object in percent – for example, in a particular forest – the probability of \\nlocation of an infected animal is 60%, in a specific open area, 40%, etc.\",\"PeriodicalId\":22969,\"journal\":{\"name\":\"THEORY AND PRACTICE OF PARASITIC DISEASE CONTROL\",\"volume\":\"183 1\",\"pages\":\"\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2023-04-17\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"THEORY AND PRACTICE OF PARASITIC DISEASE CONTROL\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.31016/978-5-6048555-6-0.2023.24.172-176\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"THEORY AND PRACTICE OF PARASITIC DISEASE CONTROL","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.31016/978-5-6048555-6-0.2023.24.172-176","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
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.