Clinic on the Meaningful Modeling of Epidemiological Data

数学和数值模拟是传染病控制的基本工具，使决策者能够在政策实施之前探索政策，解释趋势并预测新出现的威胁。流行病学数据有意义建模研讨会（MMED）将于5月24日至6月4日在南非开普敦举行。它汇集了数学家、统计学家、人口生物学家和流行病学家，通过将数学模型与流行病学数据相结合，参与有关传染病动态的有意义的问题。该诊所将培训生物数学和流行病学方面的年轻研究人员，促进公共卫生、传染病、流行病学、生物统计学和数学研究人员之间的跨学科合作，加强北美和非洲研究人员之间的合作，并开展将模型和数据结合起来的合作研究项目，以增加对流行病学过程的了解，并为公共卫生决策提供信息。讲座将通过一个网站公开，允许那些无法参加诊所的人自学，并纳入其他课程的教材。

Mathematics and numerical simulations are essential tools in infectious disease control, enabling decision-makers to explore policies prior to implemention, to interpret trends, and to predict emerging threats. The Clinic on the Meaningful Modeling of Epidemiological Data (MMED) will be held in Cape Town, South Africa, from May 24 to June 4. It brings together mathematicians, statisticians, population biologists, and epidemiologists to engage with meaningful questions about infectious disease dynamics by integrating mathematical models with epidemiological data. The Clinic will train young researchers in biomathematics and epidemiology, stimulate interdisciplinary collaborations between researchers in public health, infectious diseases, epidemiology, biostatistics, and mathematics, enhance collaborations between researchers from North America and Africa, and lead to collaborative research projects that combine models and data to increase understanding of epidemiological processes and to inform public health decision-making. Lectures will be made publicly available through a website allowing for self-instruction by those unable to attend the Clinic and incorporation into teaching materials for other courses.