Healthcare Modeling Workforce Development Through Washington State University's Resistance Epidemiology Modeling Initiative

项目摘要/摘要 对训练有素、方法复杂的流行病学模型师的需求日益增长， 尤其是在医疗保健环境中。应对持续和新出现的与医疗保健相关的感染 金黄色葡萄球菌、艰难梭菌和金黄色葡萄球菌等(HAI)需要复杂的建模方法，可以 代表复杂而动态的医疗保健环境。SARS-CoV-2大流行也 展示了州和地方各级以及内部对建模支持的需求和价值 医院系统，以满足公共卫生期间不同利益相关者的特定需求 紧急情况。拟开展的项目《通过华盛顿建立医疗机构员工队伍发展模型》 州立大学的耐药性流行病学建模计划“寻求利用不断增长的、建模和 方法华盛顿州立大学的重点跨学科研究项目。这些计划 解决与医疗保健相关的感染、新出现的传染病和抗菌素耐药性，以及 借鉴流行病学、统计学、数学和计算机科学方面的专业知识，并有很强的跟踪能力 与临床医生和政策制定者的合作记录。拟议的项目将资助三个项目 流行病学建模研究员来自各种潜在的学术背景。这些家伙将会是 从事三个项目：(1)了解新发传染病加速流行的趋势 当他们到达医疗保健系统时(称为“医院放大”)，(2)评估现有的 模型和基于模型的指导，使其可推广到农村和社区医疗保健环境，以及(3) 开发建模和模拟医院内和医院间患者转移网络的方法，以更好地 了解这些网络是如何形成的，允许进行破坏这些网络的研究，并经常 以合成网络的形式更广泛地访问敏感数据。这些项目中的每个都涉及 一项或多项对公共卫生具有重要意义的人类健康倡议，并涉及几个主题领域，包括抗菌剂 抵抗力、患者连接性、健康公平性、疫情反应、流行病学研究模拟、 系统方法和人畜共患疾病。该奖学金计划将由埃里克·洛夫格伦博士领导，他是一名 传染病流行病学家和耐药性流行病学建模倡议(REMI)主任，a 支持抗菌素耐药性和医疗保健相关感染研究的多学科努力 威斯康星大学。洛夫格伦博士在传染病的数学和计算模型方面拥有丰富的经验 疾病和专门从事人类免疫缺陷模型的研究。拟议的奖学金计划将为研究员 获得跨不同学科和支持的各种协作机会 寻找职业发展机会。在地方和国家的合作关系下，该项目 将使研究员成为下一代医疗保健建模专家。

PROJECT SUMMARY/ABSTRACT There is a growing need for well-trained, methodologically sophisticated epidemiological modelers, especially in healthcare settings. Addressing persistent and emerging healthcare-associated infections (HAIs) such as S. aureus, C. difficile and C. auris require sophisticated modeling approaches that can represent the complex and dynamic healthcare environment. The SARS-CoV-2 pandemic has also demonstrated the need for, and value of, modeling support at the state and local level, as well as within hospital systems to address the specific needs of a diverse range of stakeholders during a public health emergency. The proposed project, “Healthcare Modeling Workforce Development Through Washington State University's Resistance Epidemiology Modeling Initiative” seeks to leverage the growing, modeling and methods focused, interdisciplinary research programs at Washington State University. These programs address healthcare-associated infections, emerging infectious diseases, and antimicrobial resistance, and draw from expertise in epidemiology, statistics, mathematics, and computer science, and have a strong track record of collaboration with clinicians and policymakers. The proposed project would fund three epidemiology modeling fellows from a variety of potential academic backgrounds. These fellows will be engaged in three projects: (1) Understanding the tendency of emerging infectious diseases to accelerate when they reach the healthcare system (termed “Nosocomial Amplification”), (2) the evaluation of existing models and model-based guidance for its generalizability to rural and community healthcare settings, and (3) developing methods to model and simulate within- and between- hospital patient transfer networks, to better understand how these networks are formed, allow studies that disrupt these networks, and to make often sensitive data more widely accessible in the form of synthetic networks. Each of these projects touches on one or more HAIs of public health importance and address several thematic areas including antimicrobial resistance, patient connectiveness, health equity, outbreak response, simulation of epidemiological studies, systems approaches and zoonotic diseases. The fellowship program will be led by Dr. Eric Lofgren, an infectious disease epidemiologist and director of the Resistance Epidemiology Modeling Initiative (REMI), a multidisciplinary effort to support antimicrobial resistance and healthcare-associated infection research at WSU. Dr. Lofgren has extensive experience in mathematical and computational modeling of infectious diseases and specializes in the modeling of HAIs. The proposed fellowship program would give fellows access to a diverse range of opportunities for collaboration across different academic disciplines and support for professional development opportunities. With both local and national collaborative ties, the program would position fellows to become the next generation of healthcare modeling experts.