2017 Clinic on Dynamical Approaches to Infectious Diseases Data, December, 2017; University of Florida

该奖项将为将于2017年12月举行的传染病数据动态方法（DAIDD）年度诊所提供支持。DAIDD将在传染病动力学的数学建模方面培训美国科学家。数学和模拟是传染病控制的重要工具，使决策者能够在实施控制政策之前探索控制政策，解释趋势，规划实证研究并预测新出现的威胁。在过去的十年中，数学流行病学和生物医学流行病学领域的整合在研究实践中有所增加，但是，培训选项提供了一些机会，在课堂上整合。该诊所通过向参与者提供来自流行病学传统的广泛概念和技术来解决这一差距。该诊所将为整合动态建模方法与经验性传染病研究提供概念基础。它针对的是在科学计算或数学建模方面没有丰富经验的参与者。培训将侧重于病原体传播的复杂动态如何影响传染病研究中应用问题的研究设计和数据收集。培训还将帮助参与者在诊所后追求他们的研究目标。参与者将发展必要的技能，以确定哪些研究问题可以和不能从动态建模方法中受益。此外，由于该诊所还将包括来自非洲的科学家，它将为美国科学家提供建立国际合作者网络的机会。所有教学材料都将在网上公开提供，以便那些无法参加诊所的人可以用来自学，或纳入其他课程的教学材料。

This award will provide support for the annual Clinic on Dynamic Approaches to Infectious Disease Data (DAIDD) to be held in December, 2017. DAIDD will train U.S. scientists in the mathematical modeling of infectious disease dynamics. Mathematics and simulation are essential tools in infectious disease control, enabling decision-makers to explore control policies before implementing them, interpret trends, plan empirical studies, and predict emerging threats. Over the past decade, integration of the fields of mathematical epidemiology and biomedical epidemiology has increased in research practice; however, training options provide few opportunities for integration in the classroom. This clinic addresses this gap by offering participants exposure to a broad range of concepts and techniques from both epidemiological traditions. The clinic will provide a conceptual foundation for integrating dynamic modeling approaches with empirical infectious diseases research. It is aimed at participants without substantial experience in scientific computing or in mathematical modeling. Training will focus on how the complex dynamics of pathogen transmission influence study design and data collection for applied problems in infectious disease research. Training will also prepare participants to pursue their research goals after the clinic. Participants will develop the skills necessary to identify which research questions can and cannot benefit from a dynamic modeling approach. In addition, because the Clinic will also include scientists from Africa, it will provide opportunities for U.S. scientists to build a network of international collaborators. All pedagogic material will be made publicly available online so that they can be used for self-instruction by those unable to attend the Clinic or to be incorporated into teaching materials for other courses.