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Modeling the Epidemiological Processes of Economically Significant Infections of Animals

机译:对具有经济意义的动物感染的流行病过程进行建模

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Analysis of the retrospective and current states of the epidemiological situation on economically significant zoonoses (rabies, anthrax, and animal foot and mouth disease) in Kazakhstan over the past eight decades is considered. A reliable factual data for computer simulations and modern quantitative epidemiology methods were provided by the state veterinary and public health services. Historical and modern trends of the spatial and geographical distribution, the presence of cluster foci and the potential occurrence of infections outbreaks by country regions were assessed by mapping the incidence of diseases among animals and humans and using an environmental niche modeling, a space-time cube technology, as well as a negative binomial nesting density model, a linear regression and a generalized linear models. As a research result the statistically reliable visualization of the cluster zoning of Kazakhstan territory by risk emergent outbreaks categories of animals' and humans' infectious diseases was obtained. It allows predicting the likelihood of zoonoses outbreaks in the country regions.
机译:考虑对过去八十年来哈萨克斯坦具有经济意义的人畜共患病(狂犬病,炭疽病和动物手足口病)的流行病学情况进行回顾性和现状分析。国家兽医和公共卫生服务部门提供了可靠的事实数据,用于计算机模拟和现代定量流行病学方法。通过绘制动物和人类之间疾病的发病率并使用环境小生境模型,时空立方体对空间和地理分布的历史和现代趋势,簇状病菌的存在以及国家地区感染爆发的潜在可能性进行了评估技术,负二项式嵌套密度模型,线性回归和广义线性模型。作为研究结果,获得了由动物和人类传染病的风险突发暴发类别对哈萨克斯坦领土集群分区的统计可靠可视化。它可以预测该国家地区人畜共患疾病暴发的可能性。

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