The Spread and Evolution of Parasites on Host Networks

主机网络上寄生虫的传播和进化

• 批准号: 0749097
• 负责人: Lauren Meyers
• 金额: $ 43万
• 依托单位: University of Texas at Austin
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2008
• 资助国家: 美国
• 起止时间: 2008-09-01 至 2013-08-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=0749097&HistoricalAwards=false
• 关键词: Spread; Evolution; Parasites; Host; Networks

Contact network epidemiology is a new and powerful mathematical approach to study the ecology of infectious diseases. It involves building realistic models of the complex host contact patterns that underlie disease transmission, and then applying methods from statistical physics to predict outbreak dynamics. This project will extend these methods to study disease spread through modular host populations - those consisting of highly intra-connected subgroups - and then address specific questions about viral diseases in Serengeti carnivore populations. This project will also train students from kindergarten through graduate school through participation in the research, new courses, and the development of web-distributed teaching materials on infectious disease ecology and evolution. As the field of mathematical biology becomes increasingly critical to scientific progress, there is demand for a new generation of computational tools and researchers who can use them effectively. This project will yield a more versatile mathematical framework for predicting disease spread and a better understanding of multi-host disease transmission, a topic of great importance to the health of humans, domestic animals, and wildlife populations of conservation concern. It will provide young men and women from diverse backgrounds the opportunity to experience the utility, accessibility and excitement of mathematical biology.

接触网络流行病学是研究传染病生态学的一种新的、强有力的数学方法。它涉及建立作为疾病传播基础的复杂宿主接触模式的现实模型，然后应用统计物理学方法来预测疫情动态。该项目将扩展这些方法，以研究疾病通过模块化宿主群体的传播-这些群体由高度内部连接的亚群组成-然后解决有关塞伦盖蒂食肉动物群体中病毒性疾病的具体问题。该项目还将通过参与研究、新课程和开发关于传染病生态学和进化的网上分发教材，对从幼儿园到研究生院的学生进行培训。随着数学生物学领域对科学进步变得越来越重要，人们需要新一代计算工具和能够有效使用它们的研究人员。该项目将产生一个更通用的数学框架，用于预测疾病传播和更好地了解多宿主疾病传播，这是一个对人类，家畜和野生动物种群的健康非常重要的主题。它将为来自不同背景的年轻男女提供机会，体验数学生物学的实用性，可访问性和兴奋性。